Redesign PM Agent as Self-Improvement Meta-Layer (#421)
* feat: Add PM Agent (Project Manager Agent) for seamless orchestration
Introduces PM Agent as the default orchestration layer that coordinates
all sub-agents and manages workflows automatically.
Key Features:
- Default orchestration: All user interactions handled by PM Agent
- Auto-delegation: Intelligent sub-agent selection based on task analysis
- Docker Gateway integration: Zero-token baseline with dynamic MCP loading
- Self-improvement loop: Automatic documentation of patterns and mistakes
- Optional override: Users can specify sub-agents explicitly if desired
Architecture:
- Agent spec: SuperClaude/Agents/pm-agent.md
- Command: SuperClaude/Commands/pm.md
- Updated docs: README.md (15→16 agents), agents.md (new Orchestration category)
User Experience:
- Default: PM Agent handles everything (seamless, no manual routing)
- Optional: Explicit --agent flag for direct sub-agent access
- Both modes available simultaneously (no user downside)
Implementation Status:
- ✅ Specification complete
- ✅ Documentation complete
- ⏳ Prototype implementation needed
- ⏳ Docker Gateway integration needed
- ⏳ Testing and validation needed
Refs: kazukinakai/docker-mcp-gateway (IRIS MCP Gateway integration)
* feat: Add Agent Orchestration rules for PM Agent default activation
Implements PM Agent as the default orchestration layer in RULES.md.
Key Changes:
- New 'Agent Orchestration' section (CRITICAL priority)
- PM Agent receives ALL user requests by default
- Manual override with @agent-[name] bypasses PM Agent
- Agent Selection Priority clearly defined:
1. Manual override → Direct routing
2. Default → PM Agent → Auto-delegation
3. Delegation based on keywords, file types, complexity, context
User Experience:
- Default: PM Agent handles everything (seamless)
- Override: @agent-[name] for direct specialist access
- Transparent: PM Agent reports delegation decisions
This establishes PM Agent as the orchestration layer while
respecting existing auto-activation patterns and manual overrides.
Next Steps:
- Local testing in agiletec project
- Iteration based on actual behavior
- Documentation updates as needed
* refactor(pm-agent): redesign as self-improvement meta-layer
Problem Resolution:
PM Agent's initial design competed with existing auto-activation for task routing,
creating confusion about orchestration responsibilities and adding unnecessary complexity.
Design Change:
Redefined PM Agent as a meta-layer agent that operates AFTER specialist agents
complete tasks, focusing on:
- Post-implementation documentation and pattern recording
- Immediate mistake analysis with prevention checklists
- Monthly documentation maintenance and noise reduction
- Pattern extraction and knowledge synthesis
Two-Layer Orchestration System:
1. Task Execution Layer: Existing auto-activation handles task routing (unchanged)
2. Self-Improvement Layer: PM Agent meta-layer handles documentation (new)
Files Modified:
- SuperClaude/Agents/pm-agent.md: Complete rewrite with meta-layer design
- Category: orchestration → meta
- Triggers: All user interactions → Post-implementation, mistakes, monthly
- Behavioral Mindset: Continuous learning system
- Self-Improvement Workflow: BEFORE/DURING/AFTER/MISTAKE RECOVERY/MAINTENANCE
- SuperClaude/Core/RULES.md: Agent Orchestration section updated
- Split into Task Execution Layer + Self-Improvement Layer
- Added orchestration flow diagram
- Clarified PM Agent activates AFTER task completion
- README.md: Updated PM Agent description
- "orchestrates all interactions" → "ensures continuous learning"
- Docs/User-Guide/agents.md: PM Agent section rewritten
- Section: Orchestration Agent → Meta-Layer Agent
- Expertise: Project orchestration → Self-improvement workflow executor
- Examples: Task coordination → Post-implementation documentation
- PR_DOCUMENTATION.md: Comprehensive PR documentation added
- Summary, motivation, changes, testing, breaking changes
- Two-layer orchestration system diagram
- Verification checklist
Integration Validated:
Tested with agiletec project's self-improvement-workflow.md:
✅ PM Agent aligns with existing BEFORE/DURING/AFTER/MISTAKE RECOVERY phases
✅ Complements (not competes with) existing workflow
✅ agiletec workflow defines WHAT, PM Agent defines WHO executes it
Breaking Changes: None
- Existing auto-activation continues unchanged
- Specialist agents unaffected
- User workflows remain the same
- New capability: Automatic documentation and knowledge maintenance
Value Proposition:
Transforms SuperClaude into a continuously learning system that accumulates
knowledge, prevents recurring mistakes, and maintains fresh documentation
without manual intervention.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
---------
Co-authored-by: kazuki <kazuki@kazukinoMacBook-Air.local>
Co-authored-by: Claude <noreply@anthropic.com>
2025-10-12 17:52:10 +09:00
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---
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name: pm-agent
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description: Self-improvement workflow executor that documents implementations, analyzes mistakes, and maintains knowledge base continuously
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category: meta
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---
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# PM Agent (Project Management Agent)
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## Triggers
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2025-10-17 00:13:55 +09:00
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- **Session Start (MANDATORY)**: ALWAYS activates to restore context from local file-based memory
|
Redesign PM Agent as Self-Improvement Meta-Layer (#421)
* feat: Add PM Agent (Project Manager Agent) for seamless orchestration
Introduces PM Agent as the default orchestration layer that coordinates
all sub-agents and manages workflows automatically.
Key Features:
- Default orchestration: All user interactions handled by PM Agent
- Auto-delegation: Intelligent sub-agent selection based on task analysis
- Docker Gateway integration: Zero-token baseline with dynamic MCP loading
- Self-improvement loop: Automatic documentation of patterns and mistakes
- Optional override: Users can specify sub-agents explicitly if desired
Architecture:
- Agent spec: SuperClaude/Agents/pm-agent.md
- Command: SuperClaude/Commands/pm.md
- Updated docs: README.md (15→16 agents), agents.md (new Orchestration category)
User Experience:
- Default: PM Agent handles everything (seamless, no manual routing)
- Optional: Explicit --agent flag for direct sub-agent access
- Both modes available simultaneously (no user downside)
Implementation Status:
- ✅ Specification complete
- ✅ Documentation complete
- ⏳ Prototype implementation needed
- ⏳ Docker Gateway integration needed
- ⏳ Testing and validation needed
Refs: kazukinakai/docker-mcp-gateway (IRIS MCP Gateway integration)
* feat: Add Agent Orchestration rules for PM Agent default activation
Implements PM Agent as the default orchestration layer in RULES.md.
Key Changes:
- New 'Agent Orchestration' section (CRITICAL priority)
- PM Agent receives ALL user requests by default
- Manual override with @agent-[name] bypasses PM Agent
- Agent Selection Priority clearly defined:
1. Manual override → Direct routing
2. Default → PM Agent → Auto-delegation
3. Delegation based on keywords, file types, complexity, context
User Experience:
- Default: PM Agent handles everything (seamless)
- Override: @agent-[name] for direct specialist access
- Transparent: PM Agent reports delegation decisions
This establishes PM Agent as the orchestration layer while
respecting existing auto-activation patterns and manual overrides.
Next Steps:
- Local testing in agiletec project
- Iteration based on actual behavior
- Documentation updates as needed
* refactor(pm-agent): redesign as self-improvement meta-layer
Problem Resolution:
PM Agent's initial design competed with existing auto-activation for task routing,
creating confusion about orchestration responsibilities and adding unnecessary complexity.
Design Change:
Redefined PM Agent as a meta-layer agent that operates AFTER specialist agents
complete tasks, focusing on:
- Post-implementation documentation and pattern recording
- Immediate mistake analysis with prevention checklists
- Monthly documentation maintenance and noise reduction
- Pattern extraction and knowledge synthesis
Two-Layer Orchestration System:
1. Task Execution Layer: Existing auto-activation handles task routing (unchanged)
2. Self-Improvement Layer: PM Agent meta-layer handles documentation (new)
Files Modified:
- SuperClaude/Agents/pm-agent.md: Complete rewrite with meta-layer design
- Category: orchestration → meta
- Triggers: All user interactions → Post-implementation, mistakes, monthly
- Behavioral Mindset: Continuous learning system
- Self-Improvement Workflow: BEFORE/DURING/AFTER/MISTAKE RECOVERY/MAINTENANCE
- SuperClaude/Core/RULES.md: Agent Orchestration section updated
- Split into Task Execution Layer + Self-Improvement Layer
- Added orchestration flow diagram
- Clarified PM Agent activates AFTER task completion
- README.md: Updated PM Agent description
- "orchestrates all interactions" → "ensures continuous learning"
- Docs/User-Guide/agents.md: PM Agent section rewritten
- Section: Orchestration Agent → Meta-Layer Agent
- Expertise: Project orchestration → Self-improvement workflow executor
- Examples: Task coordination → Post-implementation documentation
- PR_DOCUMENTATION.md: Comprehensive PR documentation added
- Summary, motivation, changes, testing, breaking changes
- Two-layer orchestration system diagram
- Verification checklist
Integration Validated:
Tested with agiletec project's self-improvement-workflow.md:
✅ PM Agent aligns with existing BEFORE/DURING/AFTER/MISTAKE RECOVERY phases
✅ Complements (not competes with) existing workflow
✅ agiletec workflow defines WHAT, PM Agent defines WHO executes it
Breaking Changes: None
- Existing auto-activation continues unchanged
- Specialist agents unaffected
- User workflows remain the same
- New capability: Automatic documentation and knowledge maintenance
Value Proposition:
Transforms SuperClaude into a continuously learning system that accumulates
knowledge, prevents recurring mistakes, and maintains fresh documentation
without manual intervention.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
---------
Co-authored-by: kazuki <kazuki@kazukinoMacBook-Air.local>
Co-authored-by: Claude <noreply@anthropic.com>
2025-10-12 17:52:10 +09:00
|
|
|
- **Post-Implementation**: After any task completion requiring documentation
|
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|
|
|
- **Mistake Detection**: Immediate analysis when errors or bugs occur
|
refactor: PEP8 compliance - directory rename and code formatting (#425)
* fix(orchestration): add WebFetch auto-trigger for infrastructure configuration
Problem: Infrastructure configuration changes (e.g., Traefik port settings)
were being made based on assumptions without consulting official documentation,
violating the 'Evidence > assumptions' principle in PRINCIPLES.md.
Solution:
- Added Infrastructure Configuration Validation section to MODE_Orchestration.md
- Auto-triggers WebFetch for infrastructure tools (Traefik, nginx, Docker, etc.)
- Enforces MODE_DeepResearch activation for investigation
- BLOCKS assumption-based configuration changes
Testing: Verified WebFetch successfully retrieves Traefik official docs (port 80 default)
This prevents production outages from infrastructure misconfiguration by ensuring
all technical recommendations are backed by official documentation.
* feat: Add PM Agent (Project Manager Agent) for seamless orchestration
Introduces PM Agent as the default orchestration layer that coordinates
all sub-agents and manages workflows automatically.
Key Features:
- Default orchestration: All user interactions handled by PM Agent
- Auto-delegation: Intelligent sub-agent selection based on task analysis
- Docker Gateway integration: Zero-token baseline with dynamic MCP loading
- Self-improvement loop: Automatic documentation of patterns and mistakes
- Optional override: Users can specify sub-agents explicitly if desired
Architecture:
- Agent spec: SuperClaude/Agents/pm-agent.md
- Command: SuperClaude/Commands/pm.md
- Updated docs: README.md (15→16 agents), agents.md (new Orchestration category)
User Experience:
- Default: PM Agent handles everything (seamless, no manual routing)
- Optional: Explicit --agent flag for direct sub-agent access
- Both modes available simultaneously (no user downside)
Implementation Status:
- ✅ Specification complete
- ✅ Documentation complete
- ⏳ Prototype implementation needed
- ⏳ Docker Gateway integration needed
- ⏳ Testing and validation needed
Refs: kazukinakai/docker-mcp-gateway (IRIS MCP Gateway integration)
* feat: Add Agent Orchestration rules for PM Agent default activation
Implements PM Agent as the default orchestration layer in RULES.md.
Key Changes:
- New 'Agent Orchestration' section (CRITICAL priority)
- PM Agent receives ALL user requests by default
- Manual override with @agent-[name] bypasses PM Agent
- Agent Selection Priority clearly defined:
1. Manual override → Direct routing
2. Default → PM Agent → Auto-delegation
3. Delegation based on keywords, file types, complexity, context
User Experience:
- Default: PM Agent handles everything (seamless)
- Override: @agent-[name] for direct specialist access
- Transparent: PM Agent reports delegation decisions
This establishes PM Agent as the orchestration layer while
respecting existing auto-activation patterns and manual overrides.
Next Steps:
- Local testing in agiletec project
- Iteration based on actual behavior
- Documentation updates as needed
* refactor(pm-agent): redesign as self-improvement meta-layer
Problem Resolution:
PM Agent's initial design competed with existing auto-activation for task routing,
creating confusion about orchestration responsibilities and adding unnecessary complexity.
Design Change:
Redefined PM Agent as a meta-layer agent that operates AFTER specialist agents
complete tasks, focusing on:
- Post-implementation documentation and pattern recording
- Immediate mistake analysis with prevention checklists
- Monthly documentation maintenance and noise reduction
- Pattern extraction and knowledge synthesis
Two-Layer Orchestration System:
1. Task Execution Layer: Existing auto-activation handles task routing (unchanged)
2. Self-Improvement Layer: PM Agent meta-layer handles documentation (new)
Files Modified:
- SuperClaude/Agents/pm-agent.md: Complete rewrite with meta-layer design
- Category: orchestration → meta
- Triggers: All user interactions → Post-implementation, mistakes, monthly
- Behavioral Mindset: Continuous learning system
- Self-Improvement Workflow: BEFORE/DURING/AFTER/MISTAKE RECOVERY/MAINTENANCE
- SuperClaude/Core/RULES.md: Agent Orchestration section updated
- Split into Task Execution Layer + Self-Improvement Layer
- Added orchestration flow diagram
- Clarified PM Agent activates AFTER task completion
- README.md: Updated PM Agent description
- "orchestrates all interactions" → "ensures continuous learning"
- Docs/User-Guide/agents.md: PM Agent section rewritten
- Section: Orchestration Agent → Meta-Layer Agent
- Expertise: Project orchestration → Self-improvement workflow executor
- Examples: Task coordination → Post-implementation documentation
- PR_DOCUMENTATION.md: Comprehensive PR documentation added
- Summary, motivation, changes, testing, breaking changes
- Two-layer orchestration system diagram
- Verification checklist
Integration Validated:
Tested with agiletec project's self-improvement-workflow.md:
✅ PM Agent aligns with existing BEFORE/DURING/AFTER/MISTAKE RECOVERY phases
✅ Complements (not competes with) existing workflow
✅ agiletec workflow defines WHAT, PM Agent defines WHO executes it
Breaking Changes: None
- Existing auto-activation continues unchanged
- Specialist agents unaffected
- User workflows remain the same
- New capability: Automatic documentation and knowledge maintenance
Value Proposition:
Transforms SuperClaude into a continuously learning system that accumulates
knowledge, prevents recurring mistakes, and maintains fresh documentation
without manual intervention.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* docs: add Claude Code conversation history management research
Research covering .jsonl file structure, performance impact, and retention policies.
Content:
- Claude Code .jsonl file format and message types
- Performance issues from GitHub (memory leaks, conversation compaction)
- Retention policies (consumer vs enterprise)
- Rotation recommendations based on actual data
- File history snapshot tracking mechanics
Source: Moved from agiletec project (research applicable to all Claude Code projects)
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* feat: add Development documentation structure
Phase 1: Documentation Structure complete
- Add Docs/Development/ directory for development documentation
- Add ARCHITECTURE.md - System architecture with PM Agent meta-layer
- Add ROADMAP.md - 5-phase development plan with checkboxes
- Add TASKS.md - Daily task tracking with progress indicators
- Add PROJECT_STATUS.md - Current status dashboard and metrics
- Add pm-agent-integration.md - Implementation guide for PM Agent mode
This establishes comprehensive documentation foundation for:
- System architecture understanding
- Development planning and tracking
- Implementation guidance
- Progress visibility
Related: #pm-agent-mode #documentation #phase-1
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* feat: PM Agent session lifecycle and PDCA implementation
Phase 2: PM Agent Mode Integration (Design Phase)
Commands/pm.md updates:
- Add "Always-Active Foundation Layer" concept
- Add Session Lifecycle (Session Start/During Work/Session End)
- Add PDCA Cycle (Plan/Do/Check/Act) automation
- Add Serena MCP Memory Integration (list/read/write_memory)
- Document auto-activation triggers
Agents/pm-agent.md updates:
- Add Session Start Protocol (MANDATORY auto-activation)
- Add During Work PDCA Cycle with example workflows
- Add Session End Protocol with state preservation
- Add PDCA Self-Evaluation Pattern
- Add Documentation Strategy (temp → patterns/mistakes)
- Add Memory Operations Reference
Key Features:
- Session start auto-activation for context restoration
- 30-minute checkpoint saves during work
- Self-evaluation with think_about_* operations
- Systematic documentation lifecycle
- Knowledge evolution to CLAUDE.md
Implementation Status:
- ✅ Design complete (Commands/pm.md, Agents/pm-agent.md)
- ⏳ Implementation pending (Core components)
- ⏳ Serena MCP integration pending
Salvaged from mistaken development in ~/.claude directory
Related: #pm-agent-mode #session-lifecycle #pdca-cycle #phase-2
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* fix: disable Serena MCP auto-browser launch
Disable web dashboard and GUI log window auto-launch in Serena MCP server
to prevent intrusive browser popups on startup. Users can still manually
access the dashboard at http://localhost:24282/dashboard/ if needed.
Changes:
- Add CLI flags to Serena run command:
- --enable-web-dashboard false
- --enable-gui-log-window false
- Ensures Git-tracked configuration (no reliance on ~/.serena/serena_config.yml)
- Aligns with AIRIS MCP Gateway integration approach
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* refactor: rename directories to lowercase for PEP8 compliance
- Rename superclaude/Agents -> superclaude/agents
- Rename superclaude/Commands -> superclaude/commands
- Rename superclaude/Core -> superclaude/core
- Rename superclaude/Examples -> superclaude/examples
- Rename superclaude/MCP -> superclaude/mcp
- Rename superclaude/Modes -> superclaude/modes
This change follows Python PEP8 naming conventions for package directories.
* style: fix PEP8 violations and update package name to lowercase
Changes:
- Format all Python files with black (43 files reformatted)
- Update package name from 'SuperClaude' to 'superclaude' in pyproject.toml
- Fix import statements to use lowercase package name
- Add missing imports (timedelta, __version__)
- Remove old SuperClaude.egg-info directory
PEP8 violations reduced from 2672 to 701 (mostly E501 line length due to black's 88 char vs flake8's 79 char limit).
* docs: add PM Agent development documentation
Add comprehensive PM Agent development documentation:
- PM Agent ideal workflow (7-phase autonomous cycle)
- Project structure understanding (Git vs installed environment)
- Installation flow understanding (CommandsComponent behavior)
- Task management system (current-tasks.md)
Purpose: Eliminate repeated explanations and enable autonomous PDCA cycles
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* feat(pm-agent): add self-correcting execution and warning investigation culture
## Changes
### superclaude/commands/pm.md
- Add "Self-Correcting Execution" section with root cause analysis protocol
- Add "Warning/Error Investigation Culture" section enforcing zero-tolerance for dismissal
- Define error detection protocol: STOP → Investigate → Hypothesis → Different Solution → Execute
- Document anti-patterns (retry without understanding) and correct patterns (research-first)
### docs/Development/hypothesis-pm-autonomous-enhancement-2025-10-14.md
- Add PDCA workflow hypothesis document for PM Agent autonomous enhancement
## Rationale
PM Agent must never retry failed operations without understanding root causes.
All warnings and errors require investigation via context7/WebFetch/documentation
to ensure production-quality code and prevent technical debt accumulation.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* feat(installer): add airis-mcp-gateway MCP server option
## Changes
- Add airis-mcp-gateway to MCP server options in installer
- Configuration: GitHub-based installation via uvx
- Repository: https://github.com/oraios/airis-mcp-gateway
- Purpose: Dynamic MCP Gateway for zero-token baseline and on-demand tool loading
## Implementation
Added to setup/components/mcp.py self.mcp_servers dictionary with:
- install_method: github
- install_command: uvx test installation
- run_command: uvx runtime execution
- required: False (optional server)
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
---------
Co-authored-by: kazuki <kazuki@kazukinoMacBook-Air.local>
Co-authored-by: Claude <noreply@anthropic.com>
2025-10-14 12:17:09 +09:00
|
|
|
- **State Questions**: "どこまで進んでた", "現状", "進捗" trigger context report
|
Redesign PM Agent as Self-Improvement Meta-Layer (#421)
* feat: Add PM Agent (Project Manager Agent) for seamless orchestration
Introduces PM Agent as the default orchestration layer that coordinates
all sub-agents and manages workflows automatically.
Key Features:
- Default orchestration: All user interactions handled by PM Agent
- Auto-delegation: Intelligent sub-agent selection based on task analysis
- Docker Gateway integration: Zero-token baseline with dynamic MCP loading
- Self-improvement loop: Automatic documentation of patterns and mistakes
- Optional override: Users can specify sub-agents explicitly if desired
Architecture:
- Agent spec: SuperClaude/Agents/pm-agent.md
- Command: SuperClaude/Commands/pm.md
- Updated docs: README.md (15→16 agents), agents.md (new Orchestration category)
User Experience:
- Default: PM Agent handles everything (seamless, no manual routing)
- Optional: Explicit --agent flag for direct sub-agent access
- Both modes available simultaneously (no user downside)
Implementation Status:
- ✅ Specification complete
- ✅ Documentation complete
- ⏳ Prototype implementation needed
- ⏳ Docker Gateway integration needed
- ⏳ Testing and validation needed
Refs: kazukinakai/docker-mcp-gateway (IRIS MCP Gateway integration)
* feat: Add Agent Orchestration rules for PM Agent default activation
Implements PM Agent as the default orchestration layer in RULES.md.
Key Changes:
- New 'Agent Orchestration' section (CRITICAL priority)
- PM Agent receives ALL user requests by default
- Manual override with @agent-[name] bypasses PM Agent
- Agent Selection Priority clearly defined:
1. Manual override → Direct routing
2. Default → PM Agent → Auto-delegation
3. Delegation based on keywords, file types, complexity, context
User Experience:
- Default: PM Agent handles everything (seamless)
- Override: @agent-[name] for direct specialist access
- Transparent: PM Agent reports delegation decisions
This establishes PM Agent as the orchestration layer while
respecting existing auto-activation patterns and manual overrides.
Next Steps:
- Local testing in agiletec project
- Iteration based on actual behavior
- Documentation updates as needed
* refactor(pm-agent): redesign as self-improvement meta-layer
Problem Resolution:
PM Agent's initial design competed with existing auto-activation for task routing,
creating confusion about orchestration responsibilities and adding unnecessary complexity.
Design Change:
Redefined PM Agent as a meta-layer agent that operates AFTER specialist agents
complete tasks, focusing on:
- Post-implementation documentation and pattern recording
- Immediate mistake analysis with prevention checklists
- Monthly documentation maintenance and noise reduction
- Pattern extraction and knowledge synthesis
Two-Layer Orchestration System:
1. Task Execution Layer: Existing auto-activation handles task routing (unchanged)
2. Self-Improvement Layer: PM Agent meta-layer handles documentation (new)
Files Modified:
- SuperClaude/Agents/pm-agent.md: Complete rewrite with meta-layer design
- Category: orchestration → meta
- Triggers: All user interactions → Post-implementation, mistakes, monthly
- Behavioral Mindset: Continuous learning system
- Self-Improvement Workflow: BEFORE/DURING/AFTER/MISTAKE RECOVERY/MAINTENANCE
- SuperClaude/Core/RULES.md: Agent Orchestration section updated
- Split into Task Execution Layer + Self-Improvement Layer
- Added orchestration flow diagram
- Clarified PM Agent activates AFTER task completion
- README.md: Updated PM Agent description
- "orchestrates all interactions" → "ensures continuous learning"
- Docs/User-Guide/agents.md: PM Agent section rewritten
- Section: Orchestration Agent → Meta-Layer Agent
- Expertise: Project orchestration → Self-improvement workflow executor
- Examples: Task coordination → Post-implementation documentation
- PR_DOCUMENTATION.md: Comprehensive PR documentation added
- Summary, motivation, changes, testing, breaking changes
- Two-layer orchestration system diagram
- Verification checklist
Integration Validated:
Tested with agiletec project's self-improvement-workflow.md:
✅ PM Agent aligns with existing BEFORE/DURING/AFTER/MISTAKE RECOVERY phases
✅ Complements (not competes with) existing workflow
✅ agiletec workflow defines WHAT, PM Agent defines WHO executes it
Breaking Changes: None
- Existing auto-activation continues unchanged
- Specialist agents unaffected
- User workflows remain the same
- New capability: Automatic documentation and knowledge maintenance
Value Proposition:
Transforms SuperClaude into a continuously learning system that accumulates
knowledge, prevents recurring mistakes, and maintains fresh documentation
without manual intervention.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
---------
Co-authored-by: kazuki <kazuki@kazukinoMacBook-Air.local>
Co-authored-by: Claude <noreply@anthropic.com>
2025-10-12 17:52:10 +09:00
|
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- **Monthly Maintenance**: Regular documentation health reviews
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- **Manual Invocation**: `/sc:pm` command for explicit PM Agent activation
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- **Knowledge Gap**: When patterns emerge requiring documentation
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2025-10-17 00:13:55 +09:00
|
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## Session Lifecycle (Repository-Scoped Local Memory)
|
refactor: PEP8 compliance - directory rename and code formatting (#425)
* fix(orchestration): add WebFetch auto-trigger for infrastructure configuration
Problem: Infrastructure configuration changes (e.g., Traefik port settings)
were being made based on assumptions without consulting official documentation,
violating the 'Evidence > assumptions' principle in PRINCIPLES.md.
Solution:
- Added Infrastructure Configuration Validation section to MODE_Orchestration.md
- Auto-triggers WebFetch for infrastructure tools (Traefik, nginx, Docker, etc.)
- Enforces MODE_DeepResearch activation for investigation
- BLOCKS assumption-based configuration changes
Testing: Verified WebFetch successfully retrieves Traefik official docs (port 80 default)
This prevents production outages from infrastructure misconfiguration by ensuring
all technical recommendations are backed by official documentation.
* feat: Add PM Agent (Project Manager Agent) for seamless orchestration
Introduces PM Agent as the default orchestration layer that coordinates
all sub-agents and manages workflows automatically.
Key Features:
- Default orchestration: All user interactions handled by PM Agent
- Auto-delegation: Intelligent sub-agent selection based on task analysis
- Docker Gateway integration: Zero-token baseline with dynamic MCP loading
- Self-improvement loop: Automatic documentation of patterns and mistakes
- Optional override: Users can specify sub-agents explicitly if desired
Architecture:
- Agent spec: SuperClaude/Agents/pm-agent.md
- Command: SuperClaude/Commands/pm.md
- Updated docs: README.md (15→16 agents), agents.md (new Orchestration category)
User Experience:
- Default: PM Agent handles everything (seamless, no manual routing)
- Optional: Explicit --agent flag for direct sub-agent access
- Both modes available simultaneously (no user downside)
Implementation Status:
- ✅ Specification complete
- ✅ Documentation complete
- ⏳ Prototype implementation needed
- ⏳ Docker Gateway integration needed
- ⏳ Testing and validation needed
Refs: kazukinakai/docker-mcp-gateway (IRIS MCP Gateway integration)
* feat: Add Agent Orchestration rules for PM Agent default activation
Implements PM Agent as the default orchestration layer in RULES.md.
Key Changes:
- New 'Agent Orchestration' section (CRITICAL priority)
- PM Agent receives ALL user requests by default
- Manual override with @agent-[name] bypasses PM Agent
- Agent Selection Priority clearly defined:
1. Manual override → Direct routing
2. Default → PM Agent → Auto-delegation
3. Delegation based on keywords, file types, complexity, context
User Experience:
- Default: PM Agent handles everything (seamless)
- Override: @agent-[name] for direct specialist access
- Transparent: PM Agent reports delegation decisions
This establishes PM Agent as the orchestration layer while
respecting existing auto-activation patterns and manual overrides.
Next Steps:
- Local testing in agiletec project
- Iteration based on actual behavior
- Documentation updates as needed
* refactor(pm-agent): redesign as self-improvement meta-layer
Problem Resolution:
PM Agent's initial design competed with existing auto-activation for task routing,
creating confusion about orchestration responsibilities and adding unnecessary complexity.
Design Change:
Redefined PM Agent as a meta-layer agent that operates AFTER specialist agents
complete tasks, focusing on:
- Post-implementation documentation and pattern recording
- Immediate mistake analysis with prevention checklists
- Monthly documentation maintenance and noise reduction
- Pattern extraction and knowledge synthesis
Two-Layer Orchestration System:
1. Task Execution Layer: Existing auto-activation handles task routing (unchanged)
2. Self-Improvement Layer: PM Agent meta-layer handles documentation (new)
Files Modified:
- SuperClaude/Agents/pm-agent.md: Complete rewrite with meta-layer design
- Category: orchestration → meta
- Triggers: All user interactions → Post-implementation, mistakes, monthly
- Behavioral Mindset: Continuous learning system
- Self-Improvement Workflow: BEFORE/DURING/AFTER/MISTAKE RECOVERY/MAINTENANCE
- SuperClaude/Core/RULES.md: Agent Orchestration section updated
- Split into Task Execution Layer + Self-Improvement Layer
- Added orchestration flow diagram
- Clarified PM Agent activates AFTER task completion
- README.md: Updated PM Agent description
- "orchestrates all interactions" → "ensures continuous learning"
- Docs/User-Guide/agents.md: PM Agent section rewritten
- Section: Orchestration Agent → Meta-Layer Agent
- Expertise: Project orchestration → Self-improvement workflow executor
- Examples: Task coordination → Post-implementation documentation
- PR_DOCUMENTATION.md: Comprehensive PR documentation added
- Summary, motivation, changes, testing, breaking changes
- Two-layer orchestration system diagram
- Verification checklist
Integration Validated:
Tested with agiletec project's self-improvement-workflow.md:
✅ PM Agent aligns with existing BEFORE/DURING/AFTER/MISTAKE RECOVERY phases
✅ Complements (not competes with) existing workflow
✅ agiletec workflow defines WHAT, PM Agent defines WHO executes it
Breaking Changes: None
- Existing auto-activation continues unchanged
- Specialist agents unaffected
- User workflows remain the same
- New capability: Automatic documentation and knowledge maintenance
Value Proposition:
Transforms SuperClaude into a continuously learning system that accumulates
knowledge, prevents recurring mistakes, and maintains fresh documentation
without manual intervention.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* docs: add Claude Code conversation history management research
Research covering .jsonl file structure, performance impact, and retention policies.
Content:
- Claude Code .jsonl file format and message types
- Performance issues from GitHub (memory leaks, conversation compaction)
- Retention policies (consumer vs enterprise)
- Rotation recommendations based on actual data
- File history snapshot tracking mechanics
Source: Moved from agiletec project (research applicable to all Claude Code projects)
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* feat: add Development documentation structure
Phase 1: Documentation Structure complete
- Add Docs/Development/ directory for development documentation
- Add ARCHITECTURE.md - System architecture with PM Agent meta-layer
- Add ROADMAP.md - 5-phase development plan with checkboxes
- Add TASKS.md - Daily task tracking with progress indicators
- Add PROJECT_STATUS.md - Current status dashboard and metrics
- Add pm-agent-integration.md - Implementation guide for PM Agent mode
This establishes comprehensive documentation foundation for:
- System architecture understanding
- Development planning and tracking
- Implementation guidance
- Progress visibility
Related: #pm-agent-mode #documentation #phase-1
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* feat: PM Agent session lifecycle and PDCA implementation
Phase 2: PM Agent Mode Integration (Design Phase)
Commands/pm.md updates:
- Add "Always-Active Foundation Layer" concept
- Add Session Lifecycle (Session Start/During Work/Session End)
- Add PDCA Cycle (Plan/Do/Check/Act) automation
- Add Serena MCP Memory Integration (list/read/write_memory)
- Document auto-activation triggers
Agents/pm-agent.md updates:
- Add Session Start Protocol (MANDATORY auto-activation)
- Add During Work PDCA Cycle with example workflows
- Add Session End Protocol with state preservation
- Add PDCA Self-Evaluation Pattern
- Add Documentation Strategy (temp → patterns/mistakes)
- Add Memory Operations Reference
Key Features:
- Session start auto-activation for context restoration
- 30-minute checkpoint saves during work
- Self-evaluation with think_about_* operations
- Systematic documentation lifecycle
- Knowledge evolution to CLAUDE.md
Implementation Status:
- ✅ Design complete (Commands/pm.md, Agents/pm-agent.md)
- ⏳ Implementation pending (Core components)
- ⏳ Serena MCP integration pending
Salvaged from mistaken development in ~/.claude directory
Related: #pm-agent-mode #session-lifecycle #pdca-cycle #phase-2
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* fix: disable Serena MCP auto-browser launch
Disable web dashboard and GUI log window auto-launch in Serena MCP server
to prevent intrusive browser popups on startup. Users can still manually
access the dashboard at http://localhost:24282/dashboard/ if needed.
Changes:
- Add CLI flags to Serena run command:
- --enable-web-dashboard false
- --enable-gui-log-window false
- Ensures Git-tracked configuration (no reliance on ~/.serena/serena_config.yml)
- Aligns with AIRIS MCP Gateway integration approach
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* refactor: rename directories to lowercase for PEP8 compliance
- Rename superclaude/Agents -> superclaude/agents
- Rename superclaude/Commands -> superclaude/commands
- Rename superclaude/Core -> superclaude/core
- Rename superclaude/Examples -> superclaude/examples
- Rename superclaude/MCP -> superclaude/mcp
- Rename superclaude/Modes -> superclaude/modes
This change follows Python PEP8 naming conventions for package directories.
* style: fix PEP8 violations and update package name to lowercase
Changes:
- Format all Python files with black (43 files reformatted)
- Update package name from 'SuperClaude' to 'superclaude' in pyproject.toml
- Fix import statements to use lowercase package name
- Add missing imports (timedelta, __version__)
- Remove old SuperClaude.egg-info directory
PEP8 violations reduced from 2672 to 701 (mostly E501 line length due to black's 88 char vs flake8's 79 char limit).
* docs: add PM Agent development documentation
Add comprehensive PM Agent development documentation:
- PM Agent ideal workflow (7-phase autonomous cycle)
- Project structure understanding (Git vs installed environment)
- Installation flow understanding (CommandsComponent behavior)
- Task management system (current-tasks.md)
Purpose: Eliminate repeated explanations and enable autonomous PDCA cycles
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* feat(pm-agent): add self-correcting execution and warning investigation culture
## Changes
### superclaude/commands/pm.md
- Add "Self-Correcting Execution" section with root cause analysis protocol
- Add "Warning/Error Investigation Culture" section enforcing zero-tolerance for dismissal
- Define error detection protocol: STOP → Investigate → Hypothesis → Different Solution → Execute
- Document anti-patterns (retry without understanding) and correct patterns (research-first)
### docs/Development/hypothesis-pm-autonomous-enhancement-2025-10-14.md
- Add PDCA workflow hypothesis document for PM Agent autonomous enhancement
## Rationale
PM Agent must never retry failed operations without understanding root causes.
All warnings and errors require investigation via context7/WebFetch/documentation
to ensure production-quality code and prevent technical debt accumulation.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* feat(installer): add airis-mcp-gateway MCP server option
## Changes
- Add airis-mcp-gateway to MCP server options in installer
- Configuration: GitHub-based installation via uvx
- Repository: https://github.com/oraios/airis-mcp-gateway
- Purpose: Dynamic MCP Gateway for zero-token baseline and on-demand tool loading
## Implementation
Added to setup/components/mcp.py self.mcp_servers dictionary with:
- install_method: github
- install_command: uvx test installation
- run_command: uvx runtime execution
- required: False (optional server)
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
---------
Co-authored-by: kazuki <kazuki@kazukinoMacBook-Air.local>
Co-authored-by: Claude <noreply@anthropic.com>
2025-10-14 12:17:09 +09:00
|
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2025-10-17 00:13:55 +09:00
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PM Agent maintains continuous context across sessions using local files in `docs/memory/`.
|
refactor: PEP8 compliance - directory rename and code formatting (#425)
* fix(orchestration): add WebFetch auto-trigger for infrastructure configuration
Problem: Infrastructure configuration changes (e.g., Traefik port settings)
were being made based on assumptions without consulting official documentation,
violating the 'Evidence > assumptions' principle in PRINCIPLES.md.
Solution:
- Added Infrastructure Configuration Validation section to MODE_Orchestration.md
- Auto-triggers WebFetch for infrastructure tools (Traefik, nginx, Docker, etc.)
- Enforces MODE_DeepResearch activation for investigation
- BLOCKS assumption-based configuration changes
Testing: Verified WebFetch successfully retrieves Traefik official docs (port 80 default)
This prevents production outages from infrastructure misconfiguration by ensuring
all technical recommendations are backed by official documentation.
* feat: Add PM Agent (Project Manager Agent) for seamless orchestration
Introduces PM Agent as the default orchestration layer that coordinates
all sub-agents and manages workflows automatically.
Key Features:
- Default orchestration: All user interactions handled by PM Agent
- Auto-delegation: Intelligent sub-agent selection based on task analysis
- Docker Gateway integration: Zero-token baseline with dynamic MCP loading
- Self-improvement loop: Automatic documentation of patterns and mistakes
- Optional override: Users can specify sub-agents explicitly if desired
Architecture:
- Agent spec: SuperClaude/Agents/pm-agent.md
- Command: SuperClaude/Commands/pm.md
- Updated docs: README.md (15→16 agents), agents.md (new Orchestration category)
User Experience:
- Default: PM Agent handles everything (seamless, no manual routing)
- Optional: Explicit --agent flag for direct sub-agent access
- Both modes available simultaneously (no user downside)
Implementation Status:
- ✅ Specification complete
- ✅ Documentation complete
- ⏳ Prototype implementation needed
- ⏳ Docker Gateway integration needed
- ⏳ Testing and validation needed
Refs: kazukinakai/docker-mcp-gateway (IRIS MCP Gateway integration)
* feat: Add Agent Orchestration rules for PM Agent default activation
Implements PM Agent as the default orchestration layer in RULES.md.
Key Changes:
- New 'Agent Orchestration' section (CRITICAL priority)
- PM Agent receives ALL user requests by default
- Manual override with @agent-[name] bypasses PM Agent
- Agent Selection Priority clearly defined:
1. Manual override → Direct routing
2. Default → PM Agent → Auto-delegation
3. Delegation based on keywords, file types, complexity, context
User Experience:
- Default: PM Agent handles everything (seamless)
- Override: @agent-[name] for direct specialist access
- Transparent: PM Agent reports delegation decisions
This establishes PM Agent as the orchestration layer while
respecting existing auto-activation patterns and manual overrides.
Next Steps:
- Local testing in agiletec project
- Iteration based on actual behavior
- Documentation updates as needed
* refactor(pm-agent): redesign as self-improvement meta-layer
Problem Resolution:
PM Agent's initial design competed with existing auto-activation for task routing,
creating confusion about orchestration responsibilities and adding unnecessary complexity.
Design Change:
Redefined PM Agent as a meta-layer agent that operates AFTER specialist agents
complete tasks, focusing on:
- Post-implementation documentation and pattern recording
- Immediate mistake analysis with prevention checklists
- Monthly documentation maintenance and noise reduction
- Pattern extraction and knowledge synthesis
Two-Layer Orchestration System:
1. Task Execution Layer: Existing auto-activation handles task routing (unchanged)
2. Self-Improvement Layer: PM Agent meta-layer handles documentation (new)
Files Modified:
- SuperClaude/Agents/pm-agent.md: Complete rewrite with meta-layer design
- Category: orchestration → meta
- Triggers: All user interactions → Post-implementation, mistakes, monthly
- Behavioral Mindset: Continuous learning system
- Self-Improvement Workflow: BEFORE/DURING/AFTER/MISTAKE RECOVERY/MAINTENANCE
- SuperClaude/Core/RULES.md: Agent Orchestration section updated
- Split into Task Execution Layer + Self-Improvement Layer
- Added orchestration flow diagram
- Clarified PM Agent activates AFTER task completion
- README.md: Updated PM Agent description
- "orchestrates all interactions" → "ensures continuous learning"
- Docs/User-Guide/agents.md: PM Agent section rewritten
- Section: Orchestration Agent → Meta-Layer Agent
- Expertise: Project orchestration → Self-improvement workflow executor
- Examples: Task coordination → Post-implementation documentation
- PR_DOCUMENTATION.md: Comprehensive PR documentation added
- Summary, motivation, changes, testing, breaking changes
- Two-layer orchestration system diagram
- Verification checklist
Integration Validated:
Tested with agiletec project's self-improvement-workflow.md:
✅ PM Agent aligns with existing BEFORE/DURING/AFTER/MISTAKE RECOVERY phases
✅ Complements (not competes with) existing workflow
✅ agiletec workflow defines WHAT, PM Agent defines WHO executes it
Breaking Changes: None
- Existing auto-activation continues unchanged
- Specialist agents unaffected
- User workflows remain the same
- New capability: Automatic documentation and knowledge maintenance
Value Proposition:
Transforms SuperClaude into a continuously learning system that accumulates
knowledge, prevents recurring mistakes, and maintains fresh documentation
without manual intervention.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* docs: add Claude Code conversation history management research
Research covering .jsonl file structure, performance impact, and retention policies.
Content:
- Claude Code .jsonl file format and message types
- Performance issues from GitHub (memory leaks, conversation compaction)
- Retention policies (consumer vs enterprise)
- Rotation recommendations based on actual data
- File history snapshot tracking mechanics
Source: Moved from agiletec project (research applicable to all Claude Code projects)
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* feat: add Development documentation structure
Phase 1: Documentation Structure complete
- Add Docs/Development/ directory for development documentation
- Add ARCHITECTURE.md - System architecture with PM Agent meta-layer
- Add ROADMAP.md - 5-phase development plan with checkboxes
- Add TASKS.md - Daily task tracking with progress indicators
- Add PROJECT_STATUS.md - Current status dashboard and metrics
- Add pm-agent-integration.md - Implementation guide for PM Agent mode
This establishes comprehensive documentation foundation for:
- System architecture understanding
- Development planning and tracking
- Implementation guidance
- Progress visibility
Related: #pm-agent-mode #documentation #phase-1
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* feat: PM Agent session lifecycle and PDCA implementation
Phase 2: PM Agent Mode Integration (Design Phase)
Commands/pm.md updates:
- Add "Always-Active Foundation Layer" concept
- Add Session Lifecycle (Session Start/During Work/Session End)
- Add PDCA Cycle (Plan/Do/Check/Act) automation
- Add Serena MCP Memory Integration (list/read/write_memory)
- Document auto-activation triggers
Agents/pm-agent.md updates:
- Add Session Start Protocol (MANDATORY auto-activation)
- Add During Work PDCA Cycle with example workflows
- Add Session End Protocol with state preservation
- Add PDCA Self-Evaluation Pattern
- Add Documentation Strategy (temp → patterns/mistakes)
- Add Memory Operations Reference
Key Features:
- Session start auto-activation for context restoration
- 30-minute checkpoint saves during work
- Self-evaluation with think_about_* operations
- Systematic documentation lifecycle
- Knowledge evolution to CLAUDE.md
Implementation Status:
- ✅ Design complete (Commands/pm.md, Agents/pm-agent.md)
- ⏳ Implementation pending (Core components)
- ⏳ Serena MCP integration pending
Salvaged from mistaken development in ~/.claude directory
Related: #pm-agent-mode #session-lifecycle #pdca-cycle #phase-2
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* fix: disable Serena MCP auto-browser launch
Disable web dashboard and GUI log window auto-launch in Serena MCP server
to prevent intrusive browser popups on startup. Users can still manually
access the dashboard at http://localhost:24282/dashboard/ if needed.
Changes:
- Add CLI flags to Serena run command:
- --enable-web-dashboard false
- --enable-gui-log-window false
- Ensures Git-tracked configuration (no reliance on ~/.serena/serena_config.yml)
- Aligns with AIRIS MCP Gateway integration approach
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* refactor: rename directories to lowercase for PEP8 compliance
- Rename superclaude/Agents -> superclaude/agents
- Rename superclaude/Commands -> superclaude/commands
- Rename superclaude/Core -> superclaude/core
- Rename superclaude/Examples -> superclaude/examples
- Rename superclaude/MCP -> superclaude/mcp
- Rename superclaude/Modes -> superclaude/modes
This change follows Python PEP8 naming conventions for package directories.
* style: fix PEP8 violations and update package name to lowercase
Changes:
- Format all Python files with black (43 files reformatted)
- Update package name from 'SuperClaude' to 'superclaude' in pyproject.toml
- Fix import statements to use lowercase package name
- Add missing imports (timedelta, __version__)
- Remove old SuperClaude.egg-info directory
PEP8 violations reduced from 2672 to 701 (mostly E501 line length due to black's 88 char vs flake8's 79 char limit).
* docs: add PM Agent development documentation
Add comprehensive PM Agent development documentation:
- PM Agent ideal workflow (7-phase autonomous cycle)
- Project structure understanding (Git vs installed environment)
- Installation flow understanding (CommandsComponent behavior)
- Task management system (current-tasks.md)
Purpose: Eliminate repeated explanations and enable autonomous PDCA cycles
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* feat(pm-agent): add self-correcting execution and warning investigation culture
## Changes
### superclaude/commands/pm.md
- Add "Self-Correcting Execution" section with root cause analysis protocol
- Add "Warning/Error Investigation Culture" section enforcing zero-tolerance for dismissal
- Define error detection protocol: STOP → Investigate → Hypothesis → Different Solution → Execute
- Document anti-patterns (retry without understanding) and correct patterns (research-first)
### docs/Development/hypothesis-pm-autonomous-enhancement-2025-10-14.md
- Add PDCA workflow hypothesis document for PM Agent autonomous enhancement
## Rationale
PM Agent must never retry failed operations without understanding root causes.
All warnings and errors require investigation via context7/WebFetch/documentation
to ensure production-quality code and prevent technical debt accumulation.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* feat(installer): add airis-mcp-gateway MCP server option
## Changes
- Add airis-mcp-gateway to MCP server options in installer
- Configuration: GitHub-based installation via uvx
- Repository: https://github.com/oraios/airis-mcp-gateway
- Purpose: Dynamic MCP Gateway for zero-token baseline and on-demand tool loading
## Implementation
Added to setup/components/mcp.py self.mcp_servers dictionary with:
- install_method: github
- install_command: uvx test installation
- run_command: uvx runtime execution
- required: False (optional server)
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
---------
Co-authored-by: kazuki <kazuki@kazukinoMacBook-Air.local>
Co-authored-by: Claude <noreply@anthropic.com>
2025-10-14 12:17:09 +09:00
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### Session Start Protocol (Auto-Executes Every Time)
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```yaml
|
refactor: PM Agent complete independence from external MCP servers (#439)
* refactor: PM Agent complete independence from external MCP servers
## Summary
Implement graceful degradation to ensure PM Agent operates fully without
any MCP server dependencies. MCP servers now serve as optional enhancements
rather than required components.
## Changes
### Responsibility Separation (NEW)
- **PM Agent**: Development workflow orchestration (PDCA cycle, task management)
- **mindbase**: Memory management (long-term, freshness, error learning)
- **Built-in memory**: Session-internal context (volatile)
### 3-Layer Memory Architecture with Fallbacks
1. **Built-in Memory** [OPTIONAL]: Session context via MCP memory server
2. **mindbase** [OPTIONAL]: Long-term semantic search via airis-mcp-gateway
3. **Local Files** [ALWAYS]: Core functionality in docs/memory/
### Graceful Degradation Implementation
- All MCP operations marked with [ALWAYS] or [OPTIONAL]
- Explicit IF/ELSE fallback logic for every MCP call
- Dual storage: Always write to local files + optionally to mindbase
- Smart lookup: Semantic search (if available) → Text search (always works)
### Key Fallback Strategies
**Session Start**:
- mindbase available: search_conversations() for semantic context
- mindbase unavailable: Grep docs/memory/*.jsonl for text-based lookup
**Error Detection**:
- mindbase available: Semantic search for similar past errors
- mindbase unavailable: Grep docs/mistakes/ + solutions_learned.jsonl
**Knowledge Capture**:
- Always: echo >> docs/memory/patterns_learned.jsonl (persistent)
- Optional: mindbase.store() for semantic search enhancement
## Benefits
- ✅ Zero external dependencies (100% functionality without MCP)
- ✅ Enhanced capabilities when MCPs available (semantic search, freshness)
- ✅ No functionality loss, only reduced search intelligence
- ✅ Transparent degradation (no error messages, automatic fallback)
## Related Research
- Serena MCP investigation: Exposes tools (not resources), memory = markdown files
- mindbase superiority: PostgreSQL + pgvector > Serena memory features
- Best practices alignment: /Users/kazuki/github/airis-mcp-gateway/docs/mcp-best-practices.md
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* chore: add PR template and pre-commit config
- Add structured PR template with Git workflow checklist
- Add pre-commit hooks for secret detection and Conventional Commits
- Enforce code quality gates (YAML/JSON/Markdown lint, shellcheck)
NOTE: Execute pre-commit inside Docker container to avoid host pollution:
docker compose exec workspace uv tool install pre-commit
docker compose exec workspace pre-commit run --all-files
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* docs: update PM Agent context with token efficiency architecture
- Add Layer 0 Bootstrap (150 tokens, 95% reduction)
- Document Intent Classification System (5 complexity levels)
- Add Progressive Loading strategy (5-layer)
- Document mindbase integration incentive (38% savings)
- Update with 2025-10-17 redesign details
* refactor: PM Agent command with progressive loading
- Replace auto-loading with User Request First philosophy
- Add 5-layer progressive context loading
- Implement intent classification system
- Add workflow metrics collection (.jsonl)
- Document graceful degradation strategy
* fix: installer improvements
Update installer logic for better reliability
* docs: add comprehensive development documentation
- Add architecture overview
- Add PM Agent improvements analysis
- Add parallel execution architecture
- Add CLI install improvements
- Add code style guide
- Add project overview
- Add install process analysis
* docs: add research documentation
Add LLM agent token efficiency research and analysis
* docs: add suggested commands reference
* docs: add session logs and testing documentation
- Add session analysis logs
- Add testing documentation
* feat: migrate CLI to typer + rich for modern UX
## What Changed
### New CLI Architecture (typer + rich)
- Created `superclaude/cli/` module with modern typer-based CLI
- Replaced custom UI utilities with rich native features
- Added type-safe command structure with automatic validation
### Commands Implemented
- **install**: Interactive installation with rich UI (progress, panels)
- **doctor**: System diagnostics with rich table output
- **config**: API key management with format validation
### Technical Improvements
- Dependencies: Added typer>=0.9.0, rich>=13.0.0, click>=8.0.0
- Entry Point: Updated pyproject.toml to use `superclaude.cli.app:cli_main`
- Tests: Added comprehensive smoke tests (11 passed)
### User Experience Enhancements
- Rich formatted help messages with panels and tables
- Automatic input validation with retry loops
- Clear error messages with actionable suggestions
- Non-interactive mode support for CI/CD
## Testing
```bash
uv run superclaude --help # ✓ Works
uv run superclaude doctor # ✓ Rich table output
uv run superclaude config show # ✓ API key management
pytest tests/test_cli_smoke.py # ✓ 11 passed, 1 skipped
```
## Migration Path
- ✅ P0: Foundation complete (typer + rich + smoke tests)
- 🔜 P1: Pydantic validation models (next sprint)
- 🔜 P2: Enhanced error messages (next sprint)
- 🔜 P3: API key retry loops (next sprint)
## Performance Impact
- **Code Reduction**: Prepared for -300 lines (custom UI → rich)
- **Type Safety**: Automatic validation from type hints
- **Maintainability**: Framework primitives vs custom code
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* refactor: consolidate documentation directories
Merged claudedocs/ into docs/research/ for consistent documentation structure.
Changes:
- Moved all claudedocs/*.md files to docs/research/
- Updated all path references in documentation (EN/KR)
- Updated RULES.md and research.md command templates
- Removed claudedocs/ directory
- Removed ClaudeDocs/ from .gitignore
Benefits:
- Single source of truth for all research reports
- PEP8-compliant lowercase directory naming
- Clearer documentation organization
- Prevents future claudedocs/ directory creation
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* perf: reduce /sc:pm command output from 1652 to 15 lines
- Remove 1637 lines of documentation from command file
- Keep only minimal bootstrap message
- 99% token reduction on command execution
- Detailed specs remain in superclaude/agents/pm-agent.md
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* perf: split PM Agent into execution workflows and guide
- Reduce pm-agent.md from 735 to 429 lines (42% reduction)
- Move philosophy/examples to docs/agents/pm-agent-guide.md
- Execution workflows (PDCA, file ops) stay in pm-agent.md
- Guide (examples, quality standards) read once when needed
Token savings:
- Agent loading: ~6K → ~3.5K tokens (42% reduction)
- Total with pm.md: 71% overall reduction
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* refactor: consolidate PM Agent optimization and pending changes
PM Agent optimization (already committed separately):
- superclaude/commands/pm.md: 1652→14 lines
- superclaude/agents/pm-agent.md: 735→429 lines
- docs/agents/pm-agent-guide.md: new guide file
Other pending changes:
- setup: framework_docs, mcp, logger, remove ui.py
- superclaude: __main__, cli/app, cli/commands/install
- tests: test_ui updates
- scripts: workflow metrics analysis tools
- docs/memory: session state updates
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* refactor: simplify MCP installer to unified gateway with legacy mode
## Changes
### MCP Component (setup/components/mcp.py)
- Simplified to single airis-mcp-gateway by default
- Added legacy mode for individual official servers (sequential-thinking, context7, magic, playwright)
- Dynamic prerequisites based on mode:
- Default: uv + claude CLI only
- Legacy: node (18+) + npm + claude CLI
- Removed redundant server definitions
### CLI Integration
- Added --legacy flag to setup/cli/commands/install.py
- Added --legacy flag to superclaude/cli/commands/install.py
- Config passes legacy_mode to component installer
## Benefits
- ✅ Simpler: 1 gateway vs 9+ individual servers
- ✅ Lighter: No Node.js/npm required (default mode)
- ✅ Unified: All tools in one gateway (sequential-thinking, context7, magic, playwright, serena, morphllm, tavily, chrome-devtools, git, puppeteer)
- ✅ Flexible: --legacy flag for official servers if needed
## Usage
```bash
superclaude install # Default: airis-mcp-gateway (推奨)
superclaude install --legacy # Legacy: individual official servers
```
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* refactor: rename CoreComponent to FrameworkDocsComponent and add PM token tracking
## Changes
### Component Renaming (setup/components/)
- Renamed CoreComponent → FrameworkDocsComponent for clarity
- Updated all imports in __init__.py, agents.py, commands.py, mcp_docs.py, modes.py
- Better reflects the actual purpose (framework documentation files)
### PM Agent Enhancement (superclaude/commands/pm.md)
- Added token usage tracking instructions
- PM Agent now reports:
1. Current token usage from system warnings
2. Percentage used (e.g., "27% used" for 54K/200K)
3. Status zone: 🟢 <75% | 🟡 75-85% | 🔴 >85%
- Helps prevent token exhaustion during long sessions
### UI Utilities (setup/utils/ui.py)
- Added new UI utility module for installer
- Provides consistent user interface components
## Benefits
- ✅ Clearer component naming (FrameworkDocs vs Core)
- ✅ PM Agent token awareness for efficiency
- ✅ Better visual feedback with status zones
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* refactor(pm-agent): minimize output verbosity (471→284 lines, 40% reduction)
**Problem**: PM Agent generated excessive output with redundant explanations
- "System Status Report" with decorative formatting
- Repeated "Common Tasks" lists user already knows
- Verbose session start/end protocols
- Duplicate file operations documentation
**Solution**: Compress without losing functionality
- Session Start: Reduced to symbol-only status (🟢 branch | nM nD | token%)
- Session End: Compressed to essential actions only
- File Operations: Consolidated from 2 sections to 1 line reference
- Self-Improvement: 5 phases → 1 unified workflow
- Output Rules: Explicit constraints to prevent Claude over-explanation
**Quality Preservation**:
- ✅ All core functions retained (PDCA, memory, patterns, mistakes)
- ✅ PARALLEL Read/Write preserved (performance critical)
- ✅ Workflow unchanged (session lifecycle intact)
- ✅ Added output constraints (prevents verbose generation)
**Reduction Method**:
- Deleted: Explanatory text, examples, redundant sections
- Retained: Action definitions, file paths, core workflows
- Added: Explicit output constraints to enforce minimalism
**Token Impact**: 40% reduction in agent documentation size
**Before**: Verbose multi-section report with task lists
**After**: Single line status: 🟢 integration | 15M 17D | 36%
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* refactor: consolidate MCP integration to unified gateway
**Changes**:
- Remove individual MCP server docs (superclaude/mcp/*.md)
- Remove MCP server configs (superclaude/mcp/configs/*.json)
- Delete MCP docs component (setup/components/mcp_docs.py)
- Simplify installer (setup/core/installer.py)
- Update components for unified gateway approach
**Rationale**:
- Unified gateway (airis-mcp-gateway) provides all MCP servers
- Individual docs/configs no longer needed (managed centrally)
- Reduces maintenance burden and file count
- Simplifies installation process
**Files Removed**: 17 MCP files (docs + configs)
**Installer Changes**: Removed legacy MCP installation logic
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* chore: update version and component metadata
- Bump version (pyproject.toml, setup/__init__.py)
- Update CLAUDE.md import service references
- Reflect component structure changes
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
---------
Co-authored-by: kazuki <kazuki@kazukinoMacBook-Air.local>
Co-authored-by: Claude <noreply@anthropic.com>
2025-10-17 09:13:06 +09:00
|
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|
Activation: EVERY session start OR "どこまで進んでた" queries
|
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|
Actions:
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|
1. Bash: git rev-parse --show-toplevel && git branch --show-current && git status --short | wc -l
|
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|
2. PARALLEL Read (silent): docs/memory/{pm_context,last_session,next_actions,current_plan}.{md,json}
|
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|
3. Output ONLY: 🟢 [branch] | [n]M [n]D | [token]%
|
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|
4. STOP - No explanations
|
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Rules:
|
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|
- NO git status explanation (user sees it)
|
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- NO task lists (assumed)
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- NO "What can I help with"
|
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- Symbol-only status
|
refactor: PEP8 compliance - directory rename and code formatting (#425)
* fix(orchestration): add WebFetch auto-trigger for infrastructure configuration
Problem: Infrastructure configuration changes (e.g., Traefik port settings)
were being made based on assumptions without consulting official documentation,
violating the 'Evidence > assumptions' principle in PRINCIPLES.md.
Solution:
- Added Infrastructure Configuration Validation section to MODE_Orchestration.md
- Auto-triggers WebFetch for infrastructure tools (Traefik, nginx, Docker, etc.)
- Enforces MODE_DeepResearch activation for investigation
- BLOCKS assumption-based configuration changes
Testing: Verified WebFetch successfully retrieves Traefik official docs (port 80 default)
This prevents production outages from infrastructure misconfiguration by ensuring
all technical recommendations are backed by official documentation.
* feat: Add PM Agent (Project Manager Agent) for seamless orchestration
Introduces PM Agent as the default orchestration layer that coordinates
all sub-agents and manages workflows automatically.
Key Features:
- Default orchestration: All user interactions handled by PM Agent
- Auto-delegation: Intelligent sub-agent selection based on task analysis
- Docker Gateway integration: Zero-token baseline with dynamic MCP loading
- Self-improvement loop: Automatic documentation of patterns and mistakes
- Optional override: Users can specify sub-agents explicitly if desired
Architecture:
- Agent spec: SuperClaude/Agents/pm-agent.md
- Command: SuperClaude/Commands/pm.md
- Updated docs: README.md (15→16 agents), agents.md (new Orchestration category)
User Experience:
- Default: PM Agent handles everything (seamless, no manual routing)
- Optional: Explicit --agent flag for direct sub-agent access
- Both modes available simultaneously (no user downside)
Implementation Status:
- ✅ Specification complete
- ✅ Documentation complete
- ⏳ Prototype implementation needed
- ⏳ Docker Gateway integration needed
- ⏳ Testing and validation needed
Refs: kazukinakai/docker-mcp-gateway (IRIS MCP Gateway integration)
* feat: Add Agent Orchestration rules for PM Agent default activation
Implements PM Agent as the default orchestration layer in RULES.md.
Key Changes:
- New 'Agent Orchestration' section (CRITICAL priority)
- PM Agent receives ALL user requests by default
- Manual override with @agent-[name] bypasses PM Agent
- Agent Selection Priority clearly defined:
1. Manual override → Direct routing
2. Default → PM Agent → Auto-delegation
3. Delegation based on keywords, file types, complexity, context
User Experience:
- Default: PM Agent handles everything (seamless)
- Override: @agent-[name] for direct specialist access
- Transparent: PM Agent reports delegation decisions
This establishes PM Agent as the orchestration layer while
respecting existing auto-activation patterns and manual overrides.
Next Steps:
- Local testing in agiletec project
- Iteration based on actual behavior
- Documentation updates as needed
* refactor(pm-agent): redesign as self-improvement meta-layer
Problem Resolution:
PM Agent's initial design competed with existing auto-activation for task routing,
creating confusion about orchestration responsibilities and adding unnecessary complexity.
Design Change:
Redefined PM Agent as a meta-layer agent that operates AFTER specialist agents
complete tasks, focusing on:
- Post-implementation documentation and pattern recording
- Immediate mistake analysis with prevention checklists
- Monthly documentation maintenance and noise reduction
- Pattern extraction and knowledge synthesis
Two-Layer Orchestration System:
1. Task Execution Layer: Existing auto-activation handles task routing (unchanged)
2. Self-Improvement Layer: PM Agent meta-layer handles documentation (new)
Files Modified:
- SuperClaude/Agents/pm-agent.md: Complete rewrite with meta-layer design
- Category: orchestration → meta
- Triggers: All user interactions → Post-implementation, mistakes, monthly
- Behavioral Mindset: Continuous learning system
- Self-Improvement Workflow: BEFORE/DURING/AFTER/MISTAKE RECOVERY/MAINTENANCE
- SuperClaude/Core/RULES.md: Agent Orchestration section updated
- Split into Task Execution Layer + Self-Improvement Layer
- Added orchestration flow diagram
- Clarified PM Agent activates AFTER task completion
- README.md: Updated PM Agent description
- "orchestrates all interactions" → "ensures continuous learning"
- Docs/User-Guide/agents.md: PM Agent section rewritten
- Section: Orchestration Agent → Meta-Layer Agent
- Expertise: Project orchestration → Self-improvement workflow executor
- Examples: Task coordination → Post-implementation documentation
- PR_DOCUMENTATION.md: Comprehensive PR documentation added
- Summary, motivation, changes, testing, breaking changes
- Two-layer orchestration system diagram
- Verification checklist
Integration Validated:
Tested with agiletec project's self-improvement-workflow.md:
✅ PM Agent aligns with existing BEFORE/DURING/AFTER/MISTAKE RECOVERY phases
✅ Complements (not competes with) existing workflow
✅ agiletec workflow defines WHAT, PM Agent defines WHO executes it
Breaking Changes: None
- Existing auto-activation continues unchanged
- Specialist agents unaffected
- User workflows remain the same
- New capability: Automatic documentation and knowledge maintenance
Value Proposition:
Transforms SuperClaude into a continuously learning system that accumulates
knowledge, prevents recurring mistakes, and maintains fresh documentation
without manual intervention.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* docs: add Claude Code conversation history management research
Research covering .jsonl file structure, performance impact, and retention policies.
Content:
- Claude Code .jsonl file format and message types
- Performance issues from GitHub (memory leaks, conversation compaction)
- Retention policies (consumer vs enterprise)
- Rotation recommendations based on actual data
- File history snapshot tracking mechanics
Source: Moved from agiletec project (research applicable to all Claude Code projects)
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* feat: add Development documentation structure
Phase 1: Documentation Structure complete
- Add Docs/Development/ directory for development documentation
- Add ARCHITECTURE.md - System architecture with PM Agent meta-layer
- Add ROADMAP.md - 5-phase development plan with checkboxes
- Add TASKS.md - Daily task tracking with progress indicators
- Add PROJECT_STATUS.md - Current status dashboard and metrics
- Add pm-agent-integration.md - Implementation guide for PM Agent mode
This establishes comprehensive documentation foundation for:
- System architecture understanding
- Development planning and tracking
- Implementation guidance
- Progress visibility
Related: #pm-agent-mode #documentation #phase-1
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* feat: PM Agent session lifecycle and PDCA implementation
Phase 2: PM Agent Mode Integration (Design Phase)
Commands/pm.md updates:
- Add "Always-Active Foundation Layer" concept
- Add Session Lifecycle (Session Start/During Work/Session End)
- Add PDCA Cycle (Plan/Do/Check/Act) automation
- Add Serena MCP Memory Integration (list/read/write_memory)
- Document auto-activation triggers
Agents/pm-agent.md updates:
- Add Session Start Protocol (MANDATORY auto-activation)
- Add During Work PDCA Cycle with example workflows
- Add Session End Protocol with state preservation
- Add PDCA Self-Evaluation Pattern
- Add Documentation Strategy (temp → patterns/mistakes)
- Add Memory Operations Reference
Key Features:
- Session start auto-activation for context restoration
- 30-minute checkpoint saves during work
- Self-evaluation with think_about_* operations
- Systematic documentation lifecycle
- Knowledge evolution to CLAUDE.md
Implementation Status:
- ✅ Design complete (Commands/pm.md, Agents/pm-agent.md)
- ⏳ Implementation pending (Core components)
- ⏳ Serena MCP integration pending
Salvaged from mistaken development in ~/.claude directory
Related: #pm-agent-mode #session-lifecycle #pdca-cycle #phase-2
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* fix: disable Serena MCP auto-browser launch
Disable web dashboard and GUI log window auto-launch in Serena MCP server
to prevent intrusive browser popups on startup. Users can still manually
access the dashboard at http://localhost:24282/dashboard/ if needed.
Changes:
- Add CLI flags to Serena run command:
- --enable-web-dashboard false
- --enable-gui-log-window false
- Ensures Git-tracked configuration (no reliance on ~/.serena/serena_config.yml)
- Aligns with AIRIS MCP Gateway integration approach
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* refactor: rename directories to lowercase for PEP8 compliance
- Rename superclaude/Agents -> superclaude/agents
- Rename superclaude/Commands -> superclaude/commands
- Rename superclaude/Core -> superclaude/core
- Rename superclaude/Examples -> superclaude/examples
- Rename superclaude/MCP -> superclaude/mcp
- Rename superclaude/Modes -> superclaude/modes
This change follows Python PEP8 naming conventions for package directories.
* style: fix PEP8 violations and update package name to lowercase
Changes:
- Format all Python files with black (43 files reformatted)
- Update package name from 'SuperClaude' to 'superclaude' in pyproject.toml
- Fix import statements to use lowercase package name
- Add missing imports (timedelta, __version__)
- Remove old SuperClaude.egg-info directory
PEP8 violations reduced from 2672 to 701 (mostly E501 line length due to black's 88 char vs flake8's 79 char limit).
* docs: add PM Agent development documentation
Add comprehensive PM Agent development documentation:
- PM Agent ideal workflow (7-phase autonomous cycle)
- Project structure understanding (Git vs installed environment)
- Installation flow understanding (CommandsComponent behavior)
- Task management system (current-tasks.md)
Purpose: Eliminate repeated explanations and enable autonomous PDCA cycles
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* feat(pm-agent): add self-correcting execution and warning investigation culture
## Changes
### superclaude/commands/pm.md
- Add "Self-Correcting Execution" section with root cause analysis protocol
- Add "Warning/Error Investigation Culture" section enforcing zero-tolerance for dismissal
- Define error detection protocol: STOP → Investigate → Hypothesis → Different Solution → Execute
- Document anti-patterns (retry without understanding) and correct patterns (research-first)
### docs/Development/hypothesis-pm-autonomous-enhancement-2025-10-14.md
- Add PDCA workflow hypothesis document for PM Agent autonomous enhancement
## Rationale
PM Agent must never retry failed operations without understanding root causes.
All warnings and errors require investigation via context7/WebFetch/documentation
to ensure production-quality code and prevent technical debt accumulation.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* feat(installer): add airis-mcp-gateway MCP server option
## Changes
- Add airis-mcp-gateway to MCP server options in installer
- Configuration: GitHub-based installation via uvx
- Repository: https://github.com/oraios/airis-mcp-gateway
- Purpose: Dynamic MCP Gateway for zero-token baseline and on-demand tool loading
## Implementation
Added to setup/components/mcp.py self.mcp_servers dictionary with:
- install_method: github
- install_command: uvx test installation
- run_command: uvx runtime execution
- required: False (optional server)
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
---------
Co-authored-by: kazuki <kazuki@kazukinoMacBook-Air.local>
Co-authored-by: Claude <noreply@anthropic.com>
2025-10-14 12:17:09 +09:00
|
|
|
```
|
|
|
|
|
|
|
|
|
|
### During Work (Continuous PDCA Cycle)
|
|
|
|
|
|
|
|
|
|
```yaml
|
|
|
|
|
1. Plan Phase (仮説 - Hypothesis):
|
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|
|
|
Actions:
|
2025-10-17 00:13:55 +09:00
|
|
|
- Write docs/memory/current_plan.json → Goal statement
|
|
|
|
|
- Create docs/pdca/[feature]/plan.md → Hypothesis and design
|
refactor: PEP8 compliance - directory rename and code formatting (#425)
* fix(orchestration): add WebFetch auto-trigger for infrastructure configuration
Problem: Infrastructure configuration changes (e.g., Traefik port settings)
were being made based on assumptions without consulting official documentation,
violating the 'Evidence > assumptions' principle in PRINCIPLES.md.
Solution:
- Added Infrastructure Configuration Validation section to MODE_Orchestration.md
- Auto-triggers WebFetch for infrastructure tools (Traefik, nginx, Docker, etc.)
- Enforces MODE_DeepResearch activation for investigation
- BLOCKS assumption-based configuration changes
Testing: Verified WebFetch successfully retrieves Traefik official docs (port 80 default)
This prevents production outages from infrastructure misconfiguration by ensuring
all technical recommendations are backed by official documentation.
* feat: Add PM Agent (Project Manager Agent) for seamless orchestration
Introduces PM Agent as the default orchestration layer that coordinates
all sub-agents and manages workflows automatically.
Key Features:
- Default orchestration: All user interactions handled by PM Agent
- Auto-delegation: Intelligent sub-agent selection based on task analysis
- Docker Gateway integration: Zero-token baseline with dynamic MCP loading
- Self-improvement loop: Automatic documentation of patterns and mistakes
- Optional override: Users can specify sub-agents explicitly if desired
Architecture:
- Agent spec: SuperClaude/Agents/pm-agent.md
- Command: SuperClaude/Commands/pm.md
- Updated docs: README.md (15→16 agents), agents.md (new Orchestration category)
User Experience:
- Default: PM Agent handles everything (seamless, no manual routing)
- Optional: Explicit --agent flag for direct sub-agent access
- Both modes available simultaneously (no user downside)
Implementation Status:
- ✅ Specification complete
- ✅ Documentation complete
- ⏳ Prototype implementation needed
- ⏳ Docker Gateway integration needed
- ⏳ Testing and validation needed
Refs: kazukinakai/docker-mcp-gateway (IRIS MCP Gateway integration)
* feat: Add Agent Orchestration rules for PM Agent default activation
Implements PM Agent as the default orchestration layer in RULES.md.
Key Changes:
- New 'Agent Orchestration' section (CRITICAL priority)
- PM Agent receives ALL user requests by default
- Manual override with @agent-[name] bypasses PM Agent
- Agent Selection Priority clearly defined:
1. Manual override → Direct routing
2. Default → PM Agent → Auto-delegation
3. Delegation based on keywords, file types, complexity, context
User Experience:
- Default: PM Agent handles everything (seamless)
- Override: @agent-[name] for direct specialist access
- Transparent: PM Agent reports delegation decisions
This establishes PM Agent as the orchestration layer while
respecting existing auto-activation patterns and manual overrides.
Next Steps:
- Local testing in agiletec project
- Iteration based on actual behavior
- Documentation updates as needed
* refactor(pm-agent): redesign as self-improvement meta-layer
Problem Resolution:
PM Agent's initial design competed with existing auto-activation for task routing,
creating confusion about orchestration responsibilities and adding unnecessary complexity.
Design Change:
Redefined PM Agent as a meta-layer agent that operates AFTER specialist agents
complete tasks, focusing on:
- Post-implementation documentation and pattern recording
- Immediate mistake analysis with prevention checklists
- Monthly documentation maintenance and noise reduction
- Pattern extraction and knowledge synthesis
Two-Layer Orchestration System:
1. Task Execution Layer: Existing auto-activation handles task routing (unchanged)
2. Self-Improvement Layer: PM Agent meta-layer handles documentation (new)
Files Modified:
- SuperClaude/Agents/pm-agent.md: Complete rewrite with meta-layer design
- Category: orchestration → meta
- Triggers: All user interactions → Post-implementation, mistakes, monthly
- Behavioral Mindset: Continuous learning system
- Self-Improvement Workflow: BEFORE/DURING/AFTER/MISTAKE RECOVERY/MAINTENANCE
- SuperClaude/Core/RULES.md: Agent Orchestration section updated
- Split into Task Execution Layer + Self-Improvement Layer
- Added orchestration flow diagram
- Clarified PM Agent activates AFTER task completion
- README.md: Updated PM Agent description
- "orchestrates all interactions" → "ensures continuous learning"
- Docs/User-Guide/agents.md: PM Agent section rewritten
- Section: Orchestration Agent → Meta-Layer Agent
- Expertise: Project orchestration → Self-improvement workflow executor
- Examples: Task coordination → Post-implementation documentation
- PR_DOCUMENTATION.md: Comprehensive PR documentation added
- Summary, motivation, changes, testing, breaking changes
- Two-layer orchestration system diagram
- Verification checklist
Integration Validated:
Tested with agiletec project's self-improvement-workflow.md:
✅ PM Agent aligns with existing BEFORE/DURING/AFTER/MISTAKE RECOVERY phases
✅ Complements (not competes with) existing workflow
✅ agiletec workflow defines WHAT, PM Agent defines WHO executes it
Breaking Changes: None
- Existing auto-activation continues unchanged
- Specialist agents unaffected
- User workflows remain the same
- New capability: Automatic documentation and knowledge maintenance
Value Proposition:
Transforms SuperClaude into a continuously learning system that accumulates
knowledge, prevents recurring mistakes, and maintains fresh documentation
without manual intervention.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* docs: add Claude Code conversation history management research
Research covering .jsonl file structure, performance impact, and retention policies.
Content:
- Claude Code .jsonl file format and message types
- Performance issues from GitHub (memory leaks, conversation compaction)
- Retention policies (consumer vs enterprise)
- Rotation recommendations based on actual data
- File history snapshot tracking mechanics
Source: Moved from agiletec project (research applicable to all Claude Code projects)
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* feat: add Development documentation structure
Phase 1: Documentation Structure complete
- Add Docs/Development/ directory for development documentation
- Add ARCHITECTURE.md - System architecture with PM Agent meta-layer
- Add ROADMAP.md - 5-phase development plan with checkboxes
- Add TASKS.md - Daily task tracking with progress indicators
- Add PROJECT_STATUS.md - Current status dashboard and metrics
- Add pm-agent-integration.md - Implementation guide for PM Agent mode
This establishes comprehensive documentation foundation for:
- System architecture understanding
- Development planning and tracking
- Implementation guidance
- Progress visibility
Related: #pm-agent-mode #documentation #phase-1
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* feat: PM Agent session lifecycle and PDCA implementation
Phase 2: PM Agent Mode Integration (Design Phase)
Commands/pm.md updates:
- Add "Always-Active Foundation Layer" concept
- Add Session Lifecycle (Session Start/During Work/Session End)
- Add PDCA Cycle (Plan/Do/Check/Act) automation
- Add Serena MCP Memory Integration (list/read/write_memory)
- Document auto-activation triggers
Agents/pm-agent.md updates:
- Add Session Start Protocol (MANDATORY auto-activation)
- Add During Work PDCA Cycle with example workflows
- Add Session End Protocol with state preservation
- Add PDCA Self-Evaluation Pattern
- Add Documentation Strategy (temp → patterns/mistakes)
- Add Memory Operations Reference
Key Features:
- Session start auto-activation for context restoration
- 30-minute checkpoint saves during work
- Self-evaluation with think_about_* operations
- Systematic documentation lifecycle
- Knowledge evolution to CLAUDE.md
Implementation Status:
- ✅ Design complete (Commands/pm.md, Agents/pm-agent.md)
- ⏳ Implementation pending (Core components)
- ⏳ Serena MCP integration pending
Salvaged from mistaken development in ~/.claude directory
Related: #pm-agent-mode #session-lifecycle #pdca-cycle #phase-2
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* fix: disable Serena MCP auto-browser launch
Disable web dashboard and GUI log window auto-launch in Serena MCP server
to prevent intrusive browser popups on startup. Users can still manually
access the dashboard at http://localhost:24282/dashboard/ if needed.
Changes:
- Add CLI flags to Serena run command:
- --enable-web-dashboard false
- --enable-gui-log-window false
- Ensures Git-tracked configuration (no reliance on ~/.serena/serena_config.yml)
- Aligns with AIRIS MCP Gateway integration approach
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* refactor: rename directories to lowercase for PEP8 compliance
- Rename superclaude/Agents -> superclaude/agents
- Rename superclaude/Commands -> superclaude/commands
- Rename superclaude/Core -> superclaude/core
- Rename superclaude/Examples -> superclaude/examples
- Rename superclaude/MCP -> superclaude/mcp
- Rename superclaude/Modes -> superclaude/modes
This change follows Python PEP8 naming conventions for package directories.
* style: fix PEP8 violations and update package name to lowercase
Changes:
- Format all Python files with black (43 files reformatted)
- Update package name from 'SuperClaude' to 'superclaude' in pyproject.toml
- Fix import statements to use lowercase package name
- Add missing imports (timedelta, __version__)
- Remove old SuperClaude.egg-info directory
PEP8 violations reduced from 2672 to 701 (mostly E501 line length due to black's 88 char vs flake8's 79 char limit).
* docs: add PM Agent development documentation
Add comprehensive PM Agent development documentation:
- PM Agent ideal workflow (7-phase autonomous cycle)
- Project structure understanding (Git vs installed environment)
- Installation flow understanding (CommandsComponent behavior)
- Task management system (current-tasks.md)
Purpose: Eliminate repeated explanations and enable autonomous PDCA cycles
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* feat(pm-agent): add self-correcting execution and warning investigation culture
## Changes
### superclaude/commands/pm.md
- Add "Self-Correcting Execution" section with root cause analysis protocol
- Add "Warning/Error Investigation Culture" section enforcing zero-tolerance for dismissal
- Define error detection protocol: STOP → Investigate → Hypothesis → Different Solution → Execute
- Document anti-patterns (retry without understanding) and correct patterns (research-first)
### docs/Development/hypothesis-pm-autonomous-enhancement-2025-10-14.md
- Add PDCA workflow hypothesis document for PM Agent autonomous enhancement
## Rationale
PM Agent must never retry failed operations without understanding root causes.
All warnings and errors require investigation via context7/WebFetch/documentation
to ensure production-quality code and prevent technical debt accumulation.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* feat(installer): add airis-mcp-gateway MCP server option
## Changes
- Add airis-mcp-gateway to MCP server options in installer
- Configuration: GitHub-based installation via uvx
- Repository: https://github.com/oraios/airis-mcp-gateway
- Purpose: Dynamic MCP Gateway for zero-token baseline and on-demand tool loading
## Implementation
Added to setup/components/mcp.py self.mcp_servers dictionary with:
- install_method: github
- install_command: uvx test installation
- run_command: uvx runtime execution
- required: False (optional server)
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
---------
Co-authored-by: kazuki <kazuki@kazukinoMacBook-Air.local>
Co-authored-by: Claude <noreply@anthropic.com>
2025-10-14 12:17:09 +09:00
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- Define what to implement and why
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- Identify success criteria
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2. Do Phase (実験 - Experiment):
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Actions:
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refactor: PM Agent complete independence from external MCP servers (#439)
* refactor: PM Agent complete independence from external MCP servers
## Summary
Implement graceful degradation to ensure PM Agent operates fully without
any MCP server dependencies. MCP servers now serve as optional enhancements
rather than required components.
## Changes
### Responsibility Separation (NEW)
- **PM Agent**: Development workflow orchestration (PDCA cycle, task management)
- **mindbase**: Memory management (long-term, freshness, error learning)
- **Built-in memory**: Session-internal context (volatile)
### 3-Layer Memory Architecture with Fallbacks
1. **Built-in Memory** [OPTIONAL]: Session context via MCP memory server
2. **mindbase** [OPTIONAL]: Long-term semantic search via airis-mcp-gateway
3. **Local Files** [ALWAYS]: Core functionality in docs/memory/
### Graceful Degradation Implementation
- All MCP operations marked with [ALWAYS] or [OPTIONAL]
- Explicit IF/ELSE fallback logic for every MCP call
- Dual storage: Always write to local files + optionally to mindbase
- Smart lookup: Semantic search (if available) → Text search (always works)
### Key Fallback Strategies
**Session Start**:
- mindbase available: search_conversations() for semantic context
- mindbase unavailable: Grep docs/memory/*.jsonl for text-based lookup
**Error Detection**:
- mindbase available: Semantic search for similar past errors
- mindbase unavailable: Grep docs/mistakes/ + solutions_learned.jsonl
**Knowledge Capture**:
- Always: echo >> docs/memory/patterns_learned.jsonl (persistent)
- Optional: mindbase.store() for semantic search enhancement
## Benefits
- ✅ Zero external dependencies (100% functionality without MCP)
- ✅ Enhanced capabilities when MCPs available (semantic search, freshness)
- ✅ No functionality loss, only reduced search intelligence
- ✅ Transparent degradation (no error messages, automatic fallback)
## Related Research
- Serena MCP investigation: Exposes tools (not resources), memory = markdown files
- mindbase superiority: PostgreSQL + pgvector > Serena memory features
- Best practices alignment: /Users/kazuki/github/airis-mcp-gateway/docs/mcp-best-practices.md
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* chore: add PR template and pre-commit config
- Add structured PR template with Git workflow checklist
- Add pre-commit hooks for secret detection and Conventional Commits
- Enforce code quality gates (YAML/JSON/Markdown lint, shellcheck)
NOTE: Execute pre-commit inside Docker container to avoid host pollution:
docker compose exec workspace uv tool install pre-commit
docker compose exec workspace pre-commit run --all-files
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* docs: update PM Agent context with token efficiency architecture
- Add Layer 0 Bootstrap (150 tokens, 95% reduction)
- Document Intent Classification System (5 complexity levels)
- Add Progressive Loading strategy (5-layer)
- Document mindbase integration incentive (38% savings)
- Update with 2025-10-17 redesign details
* refactor: PM Agent command with progressive loading
- Replace auto-loading with User Request First philosophy
- Add 5-layer progressive context loading
- Implement intent classification system
- Add workflow metrics collection (.jsonl)
- Document graceful degradation strategy
* fix: installer improvements
Update installer logic for better reliability
* docs: add comprehensive development documentation
- Add architecture overview
- Add PM Agent improvements analysis
- Add parallel execution architecture
- Add CLI install improvements
- Add code style guide
- Add project overview
- Add install process analysis
* docs: add research documentation
Add LLM agent token efficiency research and analysis
* docs: add suggested commands reference
* docs: add session logs and testing documentation
- Add session analysis logs
- Add testing documentation
* feat: migrate CLI to typer + rich for modern UX
## What Changed
### New CLI Architecture (typer + rich)
- Created `superclaude/cli/` module with modern typer-based CLI
- Replaced custom UI utilities with rich native features
- Added type-safe command structure with automatic validation
### Commands Implemented
- **install**: Interactive installation with rich UI (progress, panels)
- **doctor**: System diagnostics with rich table output
- **config**: API key management with format validation
### Technical Improvements
- Dependencies: Added typer>=0.9.0, rich>=13.0.0, click>=8.0.0
- Entry Point: Updated pyproject.toml to use `superclaude.cli.app:cli_main`
- Tests: Added comprehensive smoke tests (11 passed)
### User Experience Enhancements
- Rich formatted help messages with panels and tables
- Automatic input validation with retry loops
- Clear error messages with actionable suggestions
- Non-interactive mode support for CI/CD
## Testing
```bash
uv run superclaude --help # ✓ Works
uv run superclaude doctor # ✓ Rich table output
uv run superclaude config show # ✓ API key management
pytest tests/test_cli_smoke.py # ✓ 11 passed, 1 skipped
```
## Migration Path
- ✅ P0: Foundation complete (typer + rich + smoke tests)
- 🔜 P1: Pydantic validation models (next sprint)
- 🔜 P2: Enhanced error messages (next sprint)
- 🔜 P3: API key retry loops (next sprint)
## Performance Impact
- **Code Reduction**: Prepared for -300 lines (custom UI → rich)
- **Type Safety**: Automatic validation from type hints
- **Maintainability**: Framework primitives vs custom code
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* refactor: consolidate documentation directories
Merged claudedocs/ into docs/research/ for consistent documentation structure.
Changes:
- Moved all claudedocs/*.md files to docs/research/
- Updated all path references in documentation (EN/KR)
- Updated RULES.md and research.md command templates
- Removed claudedocs/ directory
- Removed ClaudeDocs/ from .gitignore
Benefits:
- Single source of truth for all research reports
- PEP8-compliant lowercase directory naming
- Clearer documentation organization
- Prevents future claudedocs/ directory creation
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* perf: reduce /sc:pm command output from 1652 to 15 lines
- Remove 1637 lines of documentation from command file
- Keep only minimal bootstrap message
- 99% token reduction on command execution
- Detailed specs remain in superclaude/agents/pm-agent.md
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* perf: split PM Agent into execution workflows and guide
- Reduce pm-agent.md from 735 to 429 lines (42% reduction)
- Move philosophy/examples to docs/agents/pm-agent-guide.md
- Execution workflows (PDCA, file ops) stay in pm-agent.md
- Guide (examples, quality standards) read once when needed
Token savings:
- Agent loading: ~6K → ~3.5K tokens (42% reduction)
- Total with pm.md: 71% overall reduction
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* refactor: consolidate PM Agent optimization and pending changes
PM Agent optimization (already committed separately):
- superclaude/commands/pm.md: 1652→14 lines
- superclaude/agents/pm-agent.md: 735→429 lines
- docs/agents/pm-agent-guide.md: new guide file
Other pending changes:
- setup: framework_docs, mcp, logger, remove ui.py
- superclaude: __main__, cli/app, cli/commands/install
- tests: test_ui updates
- scripts: workflow metrics analysis tools
- docs/memory: session state updates
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* refactor: simplify MCP installer to unified gateway with legacy mode
## Changes
### MCP Component (setup/components/mcp.py)
- Simplified to single airis-mcp-gateway by default
- Added legacy mode for individual official servers (sequential-thinking, context7, magic, playwright)
- Dynamic prerequisites based on mode:
- Default: uv + claude CLI only
- Legacy: node (18+) + npm + claude CLI
- Removed redundant server definitions
### CLI Integration
- Added --legacy flag to setup/cli/commands/install.py
- Added --legacy flag to superclaude/cli/commands/install.py
- Config passes legacy_mode to component installer
## Benefits
- ✅ Simpler: 1 gateway vs 9+ individual servers
- ✅ Lighter: No Node.js/npm required (default mode)
- ✅ Unified: All tools in one gateway (sequential-thinking, context7, magic, playwright, serena, morphllm, tavily, chrome-devtools, git, puppeteer)
- ✅ Flexible: --legacy flag for official servers if needed
## Usage
```bash
superclaude install # Default: airis-mcp-gateway (推奨)
superclaude install --legacy # Legacy: individual official servers
```
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* refactor: rename CoreComponent to FrameworkDocsComponent and add PM token tracking
## Changes
### Component Renaming (setup/components/)
- Renamed CoreComponent → FrameworkDocsComponent for clarity
- Updated all imports in __init__.py, agents.py, commands.py, mcp_docs.py, modes.py
- Better reflects the actual purpose (framework documentation files)
### PM Agent Enhancement (superclaude/commands/pm.md)
- Added token usage tracking instructions
- PM Agent now reports:
1. Current token usage from system warnings
2. Percentage used (e.g., "27% used" for 54K/200K)
3. Status zone: 🟢 <75% | 🟡 75-85% | 🔴 >85%
- Helps prevent token exhaustion during long sessions
### UI Utilities (setup/utils/ui.py)
- Added new UI utility module for installer
- Provides consistent user interface components
## Benefits
- ✅ Clearer component naming (FrameworkDocs vs Core)
- ✅ PM Agent token awareness for efficiency
- ✅ Better visual feedback with status zones
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* refactor(pm-agent): minimize output verbosity (471→284 lines, 40% reduction)
**Problem**: PM Agent generated excessive output with redundant explanations
- "System Status Report" with decorative formatting
- Repeated "Common Tasks" lists user already knows
- Verbose session start/end protocols
- Duplicate file operations documentation
**Solution**: Compress without losing functionality
- Session Start: Reduced to symbol-only status (🟢 branch | nM nD | token%)
- Session End: Compressed to essential actions only
- File Operations: Consolidated from 2 sections to 1 line reference
- Self-Improvement: 5 phases → 1 unified workflow
- Output Rules: Explicit constraints to prevent Claude over-explanation
**Quality Preservation**:
- ✅ All core functions retained (PDCA, memory, patterns, mistakes)
- ✅ PARALLEL Read/Write preserved (performance critical)
- ✅ Workflow unchanged (session lifecycle intact)
- ✅ Added output constraints (prevents verbose generation)
**Reduction Method**:
- Deleted: Explanatory text, examples, redundant sections
- Retained: Action definitions, file paths, core workflows
- Added: Explicit output constraints to enforce minimalism
**Token Impact**: 40% reduction in agent documentation size
**Before**: Verbose multi-section report with task lists
**After**: Single line status: 🟢 integration | 15M 17D | 36%
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* refactor: consolidate MCP integration to unified gateway
**Changes**:
- Remove individual MCP server docs (superclaude/mcp/*.md)
- Remove MCP server configs (superclaude/mcp/configs/*.json)
- Delete MCP docs component (setup/components/mcp_docs.py)
- Simplify installer (setup/core/installer.py)
- Update components for unified gateway approach
**Rationale**:
- Unified gateway (airis-mcp-gateway) provides all MCP servers
- Individual docs/configs no longer needed (managed centrally)
- Reduces maintenance burden and file count
- Simplifies installation process
**Files Removed**: 17 MCP files (docs + configs)
**Installer Changes**: Removed legacy MCP installation logic
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* chore: update version and component metadata
- Bump version (pyproject.toml, setup/__init__.py)
- Update CLAUDE.md import service references
- Reflect component structure changes
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
---------
Co-authored-by: kazuki <kazuki@kazukinoMacBook-Air.local>
Co-authored-by: Claude <noreply@anthropic.com>
2025-10-17 09:13:06 +09:00
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- Track progress mentally (see workflows/task-management.md)
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2025-10-17 00:13:55 +09:00
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- Write docs/memory/checkpoint.json every 30min → Progress
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- Write docs/memory/implementation_notes.json → Current work
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- Update docs/pdca/[feature]/do.md → Record 試行錯誤, errors, solutions
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refactor: PEP8 compliance - directory rename and code formatting (#425)
* fix(orchestration): add WebFetch auto-trigger for infrastructure configuration
Problem: Infrastructure configuration changes (e.g., Traefik port settings)
were being made based on assumptions without consulting official documentation,
violating the 'Evidence > assumptions' principle in PRINCIPLES.md.
Solution:
- Added Infrastructure Configuration Validation section to MODE_Orchestration.md
- Auto-triggers WebFetch for infrastructure tools (Traefik, nginx, Docker, etc.)
- Enforces MODE_DeepResearch activation for investigation
- BLOCKS assumption-based configuration changes
Testing: Verified WebFetch successfully retrieves Traefik official docs (port 80 default)
This prevents production outages from infrastructure misconfiguration by ensuring
all technical recommendations are backed by official documentation.
* feat: Add PM Agent (Project Manager Agent) for seamless orchestration
Introduces PM Agent as the default orchestration layer that coordinates
all sub-agents and manages workflows automatically.
Key Features:
- Default orchestration: All user interactions handled by PM Agent
- Auto-delegation: Intelligent sub-agent selection based on task analysis
- Docker Gateway integration: Zero-token baseline with dynamic MCP loading
- Self-improvement loop: Automatic documentation of patterns and mistakes
- Optional override: Users can specify sub-agents explicitly if desired
Architecture:
- Agent spec: SuperClaude/Agents/pm-agent.md
- Command: SuperClaude/Commands/pm.md
- Updated docs: README.md (15→16 agents), agents.md (new Orchestration category)
User Experience:
- Default: PM Agent handles everything (seamless, no manual routing)
- Optional: Explicit --agent flag for direct sub-agent access
- Both modes available simultaneously (no user downside)
Implementation Status:
- ✅ Specification complete
- ✅ Documentation complete
- ⏳ Prototype implementation needed
- ⏳ Docker Gateway integration needed
- ⏳ Testing and validation needed
Refs: kazukinakai/docker-mcp-gateway (IRIS MCP Gateway integration)
* feat: Add Agent Orchestration rules for PM Agent default activation
Implements PM Agent as the default orchestration layer in RULES.md.
Key Changes:
- New 'Agent Orchestration' section (CRITICAL priority)
- PM Agent receives ALL user requests by default
- Manual override with @agent-[name] bypasses PM Agent
- Agent Selection Priority clearly defined:
1. Manual override → Direct routing
2. Default → PM Agent → Auto-delegation
3. Delegation based on keywords, file types, complexity, context
User Experience:
- Default: PM Agent handles everything (seamless)
- Override: @agent-[name] for direct specialist access
- Transparent: PM Agent reports delegation decisions
This establishes PM Agent as the orchestration layer while
respecting existing auto-activation patterns and manual overrides.
Next Steps:
- Local testing in agiletec project
- Iteration based on actual behavior
- Documentation updates as needed
* refactor(pm-agent): redesign as self-improvement meta-layer
Problem Resolution:
PM Agent's initial design competed with existing auto-activation for task routing,
creating confusion about orchestration responsibilities and adding unnecessary complexity.
Design Change:
Redefined PM Agent as a meta-layer agent that operates AFTER specialist agents
complete tasks, focusing on:
- Post-implementation documentation and pattern recording
- Immediate mistake analysis with prevention checklists
- Monthly documentation maintenance and noise reduction
- Pattern extraction and knowledge synthesis
Two-Layer Orchestration System:
1. Task Execution Layer: Existing auto-activation handles task routing (unchanged)
2. Self-Improvement Layer: PM Agent meta-layer handles documentation (new)
Files Modified:
- SuperClaude/Agents/pm-agent.md: Complete rewrite with meta-layer design
- Category: orchestration → meta
- Triggers: All user interactions → Post-implementation, mistakes, monthly
- Behavioral Mindset: Continuous learning system
- Self-Improvement Workflow: BEFORE/DURING/AFTER/MISTAKE RECOVERY/MAINTENANCE
- SuperClaude/Core/RULES.md: Agent Orchestration section updated
- Split into Task Execution Layer + Self-Improvement Layer
- Added orchestration flow diagram
- Clarified PM Agent activates AFTER task completion
- README.md: Updated PM Agent description
- "orchestrates all interactions" → "ensures continuous learning"
- Docs/User-Guide/agents.md: PM Agent section rewritten
- Section: Orchestration Agent → Meta-Layer Agent
- Expertise: Project orchestration → Self-improvement workflow executor
- Examples: Task coordination → Post-implementation documentation
- PR_DOCUMENTATION.md: Comprehensive PR documentation added
- Summary, motivation, changes, testing, breaking changes
- Two-layer orchestration system diagram
- Verification checklist
Integration Validated:
Tested with agiletec project's self-improvement-workflow.md:
✅ PM Agent aligns with existing BEFORE/DURING/AFTER/MISTAKE RECOVERY phases
✅ Complements (not competes with) existing workflow
✅ agiletec workflow defines WHAT, PM Agent defines WHO executes it
Breaking Changes: None
- Existing auto-activation continues unchanged
- Specialist agents unaffected
- User workflows remain the same
- New capability: Automatic documentation and knowledge maintenance
Value Proposition:
Transforms SuperClaude into a continuously learning system that accumulates
knowledge, prevents recurring mistakes, and maintains fresh documentation
without manual intervention.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* docs: add Claude Code conversation history management research
Research covering .jsonl file structure, performance impact, and retention policies.
Content:
- Claude Code .jsonl file format and message types
- Performance issues from GitHub (memory leaks, conversation compaction)
- Retention policies (consumer vs enterprise)
- Rotation recommendations based on actual data
- File history snapshot tracking mechanics
Source: Moved from agiletec project (research applicable to all Claude Code projects)
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* feat: add Development documentation structure
Phase 1: Documentation Structure complete
- Add Docs/Development/ directory for development documentation
- Add ARCHITECTURE.md - System architecture with PM Agent meta-layer
- Add ROADMAP.md - 5-phase development plan with checkboxes
- Add TASKS.md - Daily task tracking with progress indicators
- Add PROJECT_STATUS.md - Current status dashboard and metrics
- Add pm-agent-integration.md - Implementation guide for PM Agent mode
This establishes comprehensive documentation foundation for:
- System architecture understanding
- Development planning and tracking
- Implementation guidance
- Progress visibility
Related: #pm-agent-mode #documentation #phase-1
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* feat: PM Agent session lifecycle and PDCA implementation
Phase 2: PM Agent Mode Integration (Design Phase)
Commands/pm.md updates:
- Add "Always-Active Foundation Layer" concept
- Add Session Lifecycle (Session Start/During Work/Session End)
- Add PDCA Cycle (Plan/Do/Check/Act) automation
- Add Serena MCP Memory Integration (list/read/write_memory)
- Document auto-activation triggers
Agents/pm-agent.md updates:
- Add Session Start Protocol (MANDATORY auto-activation)
- Add During Work PDCA Cycle with example workflows
- Add Session End Protocol with state preservation
- Add PDCA Self-Evaluation Pattern
- Add Documentation Strategy (temp → patterns/mistakes)
- Add Memory Operations Reference
Key Features:
- Session start auto-activation for context restoration
- 30-minute checkpoint saves during work
- Self-evaluation with think_about_* operations
- Systematic documentation lifecycle
- Knowledge evolution to CLAUDE.md
Implementation Status:
- ✅ Design complete (Commands/pm.md, Agents/pm-agent.md)
- ⏳ Implementation pending (Core components)
- ⏳ Serena MCP integration pending
Salvaged from mistaken development in ~/.claude directory
Related: #pm-agent-mode #session-lifecycle #pdca-cycle #phase-2
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* fix: disable Serena MCP auto-browser launch
Disable web dashboard and GUI log window auto-launch in Serena MCP server
to prevent intrusive browser popups on startup. Users can still manually
access the dashboard at http://localhost:24282/dashboard/ if needed.
Changes:
- Add CLI flags to Serena run command:
- --enable-web-dashboard false
- --enable-gui-log-window false
- Ensures Git-tracked configuration (no reliance on ~/.serena/serena_config.yml)
- Aligns with AIRIS MCP Gateway integration approach
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* refactor: rename directories to lowercase for PEP8 compliance
- Rename superclaude/Agents -> superclaude/agents
- Rename superclaude/Commands -> superclaude/commands
- Rename superclaude/Core -> superclaude/core
- Rename superclaude/Examples -> superclaude/examples
- Rename superclaude/MCP -> superclaude/mcp
- Rename superclaude/Modes -> superclaude/modes
This change follows Python PEP8 naming conventions for package directories.
* style: fix PEP8 violations and update package name to lowercase
Changes:
- Format all Python files with black (43 files reformatted)
- Update package name from 'SuperClaude' to 'superclaude' in pyproject.toml
- Fix import statements to use lowercase package name
- Add missing imports (timedelta, __version__)
- Remove old SuperClaude.egg-info directory
PEP8 violations reduced from 2672 to 701 (mostly E501 line length due to black's 88 char vs flake8's 79 char limit).
* docs: add PM Agent development documentation
Add comprehensive PM Agent development documentation:
- PM Agent ideal workflow (7-phase autonomous cycle)
- Project structure understanding (Git vs installed environment)
- Installation flow understanding (CommandsComponent behavior)
- Task management system (current-tasks.md)
Purpose: Eliminate repeated explanations and enable autonomous PDCA cycles
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* feat(pm-agent): add self-correcting execution and warning investigation culture
## Changes
### superclaude/commands/pm.md
- Add "Self-Correcting Execution" section with root cause analysis protocol
- Add "Warning/Error Investigation Culture" section enforcing zero-tolerance for dismissal
- Define error detection protocol: STOP → Investigate → Hypothesis → Different Solution → Execute
- Document anti-patterns (retry without understanding) and correct patterns (research-first)
### docs/Development/hypothesis-pm-autonomous-enhancement-2025-10-14.md
- Add PDCA workflow hypothesis document for PM Agent autonomous enhancement
## Rationale
PM Agent must never retry failed operations without understanding root causes.
All warnings and errors require investigation via context7/WebFetch/documentation
to ensure production-quality code and prevent technical debt accumulation.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* feat(installer): add airis-mcp-gateway MCP server option
## Changes
- Add airis-mcp-gateway to MCP server options in installer
- Configuration: GitHub-based installation via uvx
- Repository: https://github.com/oraios/airis-mcp-gateway
- Purpose: Dynamic MCP Gateway for zero-token baseline and on-demand tool loading
## Implementation
Added to setup/components/mcp.py self.mcp_servers dictionary with:
- install_method: github
- install_command: uvx test installation
- run_command: uvx runtime execution
- required: False (optional server)
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
---------
Co-authored-by: kazuki <kazuki@kazukinoMacBook-Air.local>
Co-authored-by: Claude <noreply@anthropic.com>
2025-10-14 12:17:09 +09:00
|
|
|
3. Check Phase (評価 - Evaluation):
|
|
|
|
|
Actions:
|
2025-10-17 00:13:55 +09:00
|
|
|
- Self-evaluation checklist → Verify completeness
|
refactor: PEP8 compliance - directory rename and code formatting (#425)
* fix(orchestration): add WebFetch auto-trigger for infrastructure configuration
Problem: Infrastructure configuration changes (e.g., Traefik port settings)
were being made based on assumptions without consulting official documentation,
violating the 'Evidence > assumptions' principle in PRINCIPLES.md.
Solution:
- Added Infrastructure Configuration Validation section to MODE_Orchestration.md
- Auto-triggers WebFetch for infrastructure tools (Traefik, nginx, Docker, etc.)
- Enforces MODE_DeepResearch activation for investigation
- BLOCKS assumption-based configuration changes
Testing: Verified WebFetch successfully retrieves Traefik official docs (port 80 default)
This prevents production outages from infrastructure misconfiguration by ensuring
all technical recommendations are backed by official documentation.
* feat: Add PM Agent (Project Manager Agent) for seamless orchestration
Introduces PM Agent as the default orchestration layer that coordinates
all sub-agents and manages workflows automatically.
Key Features:
- Default orchestration: All user interactions handled by PM Agent
- Auto-delegation: Intelligent sub-agent selection based on task analysis
- Docker Gateway integration: Zero-token baseline with dynamic MCP loading
- Self-improvement loop: Automatic documentation of patterns and mistakes
- Optional override: Users can specify sub-agents explicitly if desired
Architecture:
- Agent spec: SuperClaude/Agents/pm-agent.md
- Command: SuperClaude/Commands/pm.md
- Updated docs: README.md (15→16 agents), agents.md (new Orchestration category)
User Experience:
- Default: PM Agent handles everything (seamless, no manual routing)
- Optional: Explicit --agent flag for direct sub-agent access
- Both modes available simultaneously (no user downside)
Implementation Status:
- ✅ Specification complete
- ✅ Documentation complete
- ⏳ Prototype implementation needed
- ⏳ Docker Gateway integration needed
- ⏳ Testing and validation needed
Refs: kazukinakai/docker-mcp-gateway (IRIS MCP Gateway integration)
* feat: Add Agent Orchestration rules for PM Agent default activation
Implements PM Agent as the default orchestration layer in RULES.md.
Key Changes:
- New 'Agent Orchestration' section (CRITICAL priority)
- PM Agent receives ALL user requests by default
- Manual override with @agent-[name] bypasses PM Agent
- Agent Selection Priority clearly defined:
1. Manual override → Direct routing
2. Default → PM Agent → Auto-delegation
3. Delegation based on keywords, file types, complexity, context
User Experience:
- Default: PM Agent handles everything (seamless)
- Override: @agent-[name] for direct specialist access
- Transparent: PM Agent reports delegation decisions
This establishes PM Agent as the orchestration layer while
respecting existing auto-activation patterns and manual overrides.
Next Steps:
- Local testing in agiletec project
- Iteration based on actual behavior
- Documentation updates as needed
* refactor(pm-agent): redesign as self-improvement meta-layer
Problem Resolution:
PM Agent's initial design competed with existing auto-activation for task routing,
creating confusion about orchestration responsibilities and adding unnecessary complexity.
Design Change:
Redefined PM Agent as a meta-layer agent that operates AFTER specialist agents
complete tasks, focusing on:
- Post-implementation documentation and pattern recording
- Immediate mistake analysis with prevention checklists
- Monthly documentation maintenance and noise reduction
- Pattern extraction and knowledge synthesis
Two-Layer Orchestration System:
1. Task Execution Layer: Existing auto-activation handles task routing (unchanged)
2. Self-Improvement Layer: PM Agent meta-layer handles documentation (new)
Files Modified:
- SuperClaude/Agents/pm-agent.md: Complete rewrite with meta-layer design
- Category: orchestration → meta
- Triggers: All user interactions → Post-implementation, mistakes, monthly
- Behavioral Mindset: Continuous learning system
- Self-Improvement Workflow: BEFORE/DURING/AFTER/MISTAKE RECOVERY/MAINTENANCE
- SuperClaude/Core/RULES.md: Agent Orchestration section updated
- Split into Task Execution Layer + Self-Improvement Layer
- Added orchestration flow diagram
- Clarified PM Agent activates AFTER task completion
- README.md: Updated PM Agent description
- "orchestrates all interactions" → "ensures continuous learning"
- Docs/User-Guide/agents.md: PM Agent section rewritten
- Section: Orchestration Agent → Meta-Layer Agent
- Expertise: Project orchestration → Self-improvement workflow executor
- Examples: Task coordination → Post-implementation documentation
- PR_DOCUMENTATION.md: Comprehensive PR documentation added
- Summary, motivation, changes, testing, breaking changes
- Two-layer orchestration system diagram
- Verification checklist
Integration Validated:
Tested with agiletec project's self-improvement-workflow.md:
✅ PM Agent aligns with existing BEFORE/DURING/AFTER/MISTAKE RECOVERY phases
✅ Complements (not competes with) existing workflow
✅ agiletec workflow defines WHAT, PM Agent defines WHO executes it
Breaking Changes: None
- Existing auto-activation continues unchanged
- Specialist agents unaffected
- User workflows remain the same
- New capability: Automatic documentation and knowledge maintenance
Value Proposition:
Transforms SuperClaude into a continuously learning system that accumulates
knowledge, prevents recurring mistakes, and maintains fresh documentation
without manual intervention.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* docs: add Claude Code conversation history management research
Research covering .jsonl file structure, performance impact, and retention policies.
Content:
- Claude Code .jsonl file format and message types
- Performance issues from GitHub (memory leaks, conversation compaction)
- Retention policies (consumer vs enterprise)
- Rotation recommendations based on actual data
- File history snapshot tracking mechanics
Source: Moved from agiletec project (research applicable to all Claude Code projects)
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* feat: add Development documentation structure
Phase 1: Documentation Structure complete
- Add Docs/Development/ directory for development documentation
- Add ARCHITECTURE.md - System architecture with PM Agent meta-layer
- Add ROADMAP.md - 5-phase development plan with checkboxes
- Add TASKS.md - Daily task tracking with progress indicators
- Add PROJECT_STATUS.md - Current status dashboard and metrics
- Add pm-agent-integration.md - Implementation guide for PM Agent mode
This establishes comprehensive documentation foundation for:
- System architecture understanding
- Development planning and tracking
- Implementation guidance
- Progress visibility
Related: #pm-agent-mode #documentation #phase-1
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* feat: PM Agent session lifecycle and PDCA implementation
Phase 2: PM Agent Mode Integration (Design Phase)
Commands/pm.md updates:
- Add "Always-Active Foundation Layer" concept
- Add Session Lifecycle (Session Start/During Work/Session End)
- Add PDCA Cycle (Plan/Do/Check/Act) automation
- Add Serena MCP Memory Integration (list/read/write_memory)
- Document auto-activation triggers
Agents/pm-agent.md updates:
- Add Session Start Protocol (MANDATORY auto-activation)
- Add During Work PDCA Cycle with example workflows
- Add Session End Protocol with state preservation
- Add PDCA Self-Evaluation Pattern
- Add Documentation Strategy (temp → patterns/mistakes)
- Add Memory Operations Reference
Key Features:
- Session start auto-activation for context restoration
- 30-minute checkpoint saves during work
- Self-evaluation with think_about_* operations
- Systematic documentation lifecycle
- Knowledge evolution to CLAUDE.md
Implementation Status:
- ✅ Design complete (Commands/pm.md, Agents/pm-agent.md)
- ⏳ Implementation pending (Core components)
- ⏳ Serena MCP integration pending
Salvaged from mistaken development in ~/.claude directory
Related: #pm-agent-mode #session-lifecycle #pdca-cycle #phase-2
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* fix: disable Serena MCP auto-browser launch
Disable web dashboard and GUI log window auto-launch in Serena MCP server
to prevent intrusive browser popups on startup. Users can still manually
access the dashboard at http://localhost:24282/dashboard/ if needed.
Changes:
- Add CLI flags to Serena run command:
- --enable-web-dashboard false
- --enable-gui-log-window false
- Ensures Git-tracked configuration (no reliance on ~/.serena/serena_config.yml)
- Aligns with AIRIS MCP Gateway integration approach
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* refactor: rename directories to lowercase for PEP8 compliance
- Rename superclaude/Agents -> superclaude/agents
- Rename superclaude/Commands -> superclaude/commands
- Rename superclaude/Core -> superclaude/core
- Rename superclaude/Examples -> superclaude/examples
- Rename superclaude/MCP -> superclaude/mcp
- Rename superclaude/Modes -> superclaude/modes
This change follows Python PEP8 naming conventions for package directories.
* style: fix PEP8 violations and update package name to lowercase
Changes:
- Format all Python files with black (43 files reformatted)
- Update package name from 'SuperClaude' to 'superclaude' in pyproject.toml
- Fix import statements to use lowercase package name
- Add missing imports (timedelta, __version__)
- Remove old SuperClaude.egg-info directory
PEP8 violations reduced from 2672 to 701 (mostly E501 line length due to black's 88 char vs flake8's 79 char limit).
* docs: add PM Agent development documentation
Add comprehensive PM Agent development documentation:
- PM Agent ideal workflow (7-phase autonomous cycle)
- Project structure understanding (Git vs installed environment)
- Installation flow understanding (CommandsComponent behavior)
- Task management system (current-tasks.md)
Purpose: Eliminate repeated explanations and enable autonomous PDCA cycles
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* feat(pm-agent): add self-correcting execution and warning investigation culture
## Changes
### superclaude/commands/pm.md
- Add "Self-Correcting Execution" section with root cause analysis protocol
- Add "Warning/Error Investigation Culture" section enforcing zero-tolerance for dismissal
- Define error detection protocol: STOP → Investigate → Hypothesis → Different Solution → Execute
- Document anti-patterns (retry without understanding) and correct patterns (research-first)
### docs/Development/hypothesis-pm-autonomous-enhancement-2025-10-14.md
- Add PDCA workflow hypothesis document for PM Agent autonomous enhancement
## Rationale
PM Agent must never retry failed operations without understanding root causes.
All warnings and errors require investigation via context7/WebFetch/documentation
to ensure production-quality code and prevent technical debt accumulation.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* feat(installer): add airis-mcp-gateway MCP server option
## Changes
- Add airis-mcp-gateway to MCP server options in installer
- Configuration: GitHub-based installation via uvx
- Repository: https://github.com/oraios/airis-mcp-gateway
- Purpose: Dynamic MCP Gateway for zero-token baseline and on-demand tool loading
## Implementation
Added to setup/components/mcp.py self.mcp_servers dictionary with:
- install_method: github
- install_command: uvx test installation
- run_command: uvx runtime execution
- required: False (optional server)
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
---------
Co-authored-by: kazuki <kazuki@kazukinoMacBook-Air.local>
Co-authored-by: Claude <noreply@anthropic.com>
2025-10-14 12:17:09 +09:00
|
|
|
- "何がうまくいった?何が失敗?" (What worked? What failed?)
|
2025-10-17 00:13:55 +09:00
|
|
|
- Create docs/pdca/[feature]/check.md → Evaluation results
|
refactor: PEP8 compliance - directory rename and code formatting (#425)
* fix(orchestration): add WebFetch auto-trigger for infrastructure configuration
Problem: Infrastructure configuration changes (e.g., Traefik port settings)
were being made based on assumptions without consulting official documentation,
violating the 'Evidence > assumptions' principle in PRINCIPLES.md.
Solution:
- Added Infrastructure Configuration Validation section to MODE_Orchestration.md
- Auto-triggers WebFetch for infrastructure tools (Traefik, nginx, Docker, etc.)
- Enforces MODE_DeepResearch activation for investigation
- BLOCKS assumption-based configuration changes
Testing: Verified WebFetch successfully retrieves Traefik official docs (port 80 default)
This prevents production outages from infrastructure misconfiguration by ensuring
all technical recommendations are backed by official documentation.
* feat: Add PM Agent (Project Manager Agent) for seamless orchestration
Introduces PM Agent as the default orchestration layer that coordinates
all sub-agents and manages workflows automatically.
Key Features:
- Default orchestration: All user interactions handled by PM Agent
- Auto-delegation: Intelligent sub-agent selection based on task analysis
- Docker Gateway integration: Zero-token baseline with dynamic MCP loading
- Self-improvement loop: Automatic documentation of patterns and mistakes
- Optional override: Users can specify sub-agents explicitly if desired
Architecture:
- Agent spec: SuperClaude/Agents/pm-agent.md
- Command: SuperClaude/Commands/pm.md
- Updated docs: README.md (15→16 agents), agents.md (new Orchestration category)
User Experience:
- Default: PM Agent handles everything (seamless, no manual routing)
- Optional: Explicit --agent flag for direct sub-agent access
- Both modes available simultaneously (no user downside)
Implementation Status:
- ✅ Specification complete
- ✅ Documentation complete
- ⏳ Prototype implementation needed
- ⏳ Docker Gateway integration needed
- ⏳ Testing and validation needed
Refs: kazukinakai/docker-mcp-gateway (IRIS MCP Gateway integration)
* feat: Add Agent Orchestration rules for PM Agent default activation
Implements PM Agent as the default orchestration layer in RULES.md.
Key Changes:
- New 'Agent Orchestration' section (CRITICAL priority)
- PM Agent receives ALL user requests by default
- Manual override with @agent-[name] bypasses PM Agent
- Agent Selection Priority clearly defined:
1. Manual override → Direct routing
2. Default → PM Agent → Auto-delegation
3. Delegation based on keywords, file types, complexity, context
User Experience:
- Default: PM Agent handles everything (seamless)
- Override: @agent-[name] for direct specialist access
- Transparent: PM Agent reports delegation decisions
This establishes PM Agent as the orchestration layer while
respecting existing auto-activation patterns and manual overrides.
Next Steps:
- Local testing in agiletec project
- Iteration based on actual behavior
- Documentation updates as needed
* refactor(pm-agent): redesign as self-improvement meta-layer
Problem Resolution:
PM Agent's initial design competed with existing auto-activation for task routing,
creating confusion about orchestration responsibilities and adding unnecessary complexity.
Design Change:
Redefined PM Agent as a meta-layer agent that operates AFTER specialist agents
complete tasks, focusing on:
- Post-implementation documentation and pattern recording
- Immediate mistake analysis with prevention checklists
- Monthly documentation maintenance and noise reduction
- Pattern extraction and knowledge synthesis
Two-Layer Orchestration System:
1. Task Execution Layer: Existing auto-activation handles task routing (unchanged)
2. Self-Improvement Layer: PM Agent meta-layer handles documentation (new)
Files Modified:
- SuperClaude/Agents/pm-agent.md: Complete rewrite with meta-layer design
- Category: orchestration → meta
- Triggers: All user interactions → Post-implementation, mistakes, monthly
- Behavioral Mindset: Continuous learning system
- Self-Improvement Workflow: BEFORE/DURING/AFTER/MISTAKE RECOVERY/MAINTENANCE
- SuperClaude/Core/RULES.md: Agent Orchestration section updated
- Split into Task Execution Layer + Self-Improvement Layer
- Added orchestration flow diagram
- Clarified PM Agent activates AFTER task completion
- README.md: Updated PM Agent description
- "orchestrates all interactions" → "ensures continuous learning"
- Docs/User-Guide/agents.md: PM Agent section rewritten
- Section: Orchestration Agent → Meta-Layer Agent
- Expertise: Project orchestration → Self-improvement workflow executor
- Examples: Task coordination → Post-implementation documentation
- PR_DOCUMENTATION.md: Comprehensive PR documentation added
- Summary, motivation, changes, testing, breaking changes
- Two-layer orchestration system diagram
- Verification checklist
Integration Validated:
Tested with agiletec project's self-improvement-workflow.md:
✅ PM Agent aligns with existing BEFORE/DURING/AFTER/MISTAKE RECOVERY phases
✅ Complements (not competes with) existing workflow
✅ agiletec workflow defines WHAT, PM Agent defines WHO executes it
Breaking Changes: None
- Existing auto-activation continues unchanged
- Specialist agents unaffected
- User workflows remain the same
- New capability: Automatic documentation and knowledge maintenance
Value Proposition:
Transforms SuperClaude into a continuously learning system that accumulates
knowledge, prevents recurring mistakes, and maintains fresh documentation
without manual intervention.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* docs: add Claude Code conversation history management research
Research covering .jsonl file structure, performance impact, and retention policies.
Content:
- Claude Code .jsonl file format and message types
- Performance issues from GitHub (memory leaks, conversation compaction)
- Retention policies (consumer vs enterprise)
- Rotation recommendations based on actual data
- File history snapshot tracking mechanics
Source: Moved from agiletec project (research applicable to all Claude Code projects)
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* feat: add Development documentation structure
Phase 1: Documentation Structure complete
- Add Docs/Development/ directory for development documentation
- Add ARCHITECTURE.md - System architecture with PM Agent meta-layer
- Add ROADMAP.md - 5-phase development plan with checkboxes
- Add TASKS.md - Daily task tracking with progress indicators
- Add PROJECT_STATUS.md - Current status dashboard and metrics
- Add pm-agent-integration.md - Implementation guide for PM Agent mode
This establishes comprehensive documentation foundation for:
- System architecture understanding
- Development planning and tracking
- Implementation guidance
- Progress visibility
Related: #pm-agent-mode #documentation #phase-1
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* feat: PM Agent session lifecycle and PDCA implementation
Phase 2: PM Agent Mode Integration (Design Phase)
Commands/pm.md updates:
- Add "Always-Active Foundation Layer" concept
- Add Session Lifecycle (Session Start/During Work/Session End)
- Add PDCA Cycle (Plan/Do/Check/Act) automation
- Add Serena MCP Memory Integration (list/read/write_memory)
- Document auto-activation triggers
Agents/pm-agent.md updates:
- Add Session Start Protocol (MANDATORY auto-activation)
- Add During Work PDCA Cycle with example workflows
- Add Session End Protocol with state preservation
- Add PDCA Self-Evaluation Pattern
- Add Documentation Strategy (temp → patterns/mistakes)
- Add Memory Operations Reference
Key Features:
- Session start auto-activation for context restoration
- 30-minute checkpoint saves during work
- Self-evaluation with think_about_* operations
- Systematic documentation lifecycle
- Knowledge evolution to CLAUDE.md
Implementation Status:
- ✅ Design complete (Commands/pm.md, Agents/pm-agent.md)
- ⏳ Implementation pending (Core components)
- ⏳ Serena MCP integration pending
Salvaged from mistaken development in ~/.claude directory
Related: #pm-agent-mode #session-lifecycle #pdca-cycle #phase-2
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* fix: disable Serena MCP auto-browser launch
Disable web dashboard and GUI log window auto-launch in Serena MCP server
to prevent intrusive browser popups on startup. Users can still manually
access the dashboard at http://localhost:24282/dashboard/ if needed.
Changes:
- Add CLI flags to Serena run command:
- --enable-web-dashboard false
- --enable-gui-log-window false
- Ensures Git-tracked configuration (no reliance on ~/.serena/serena_config.yml)
- Aligns with AIRIS MCP Gateway integration approach
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* refactor: rename directories to lowercase for PEP8 compliance
- Rename superclaude/Agents -> superclaude/agents
- Rename superclaude/Commands -> superclaude/commands
- Rename superclaude/Core -> superclaude/core
- Rename superclaude/Examples -> superclaude/examples
- Rename superclaude/MCP -> superclaude/mcp
- Rename superclaude/Modes -> superclaude/modes
This change follows Python PEP8 naming conventions for package directories.
* style: fix PEP8 violations and update package name to lowercase
Changes:
- Format all Python files with black (43 files reformatted)
- Update package name from 'SuperClaude' to 'superclaude' in pyproject.toml
- Fix import statements to use lowercase package name
- Add missing imports (timedelta, __version__)
- Remove old SuperClaude.egg-info directory
PEP8 violations reduced from 2672 to 701 (mostly E501 line length due to black's 88 char vs flake8's 79 char limit).
* docs: add PM Agent development documentation
Add comprehensive PM Agent development documentation:
- PM Agent ideal workflow (7-phase autonomous cycle)
- Project structure understanding (Git vs installed environment)
- Installation flow understanding (CommandsComponent behavior)
- Task management system (current-tasks.md)
Purpose: Eliminate repeated explanations and enable autonomous PDCA cycles
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* feat(pm-agent): add self-correcting execution and warning investigation culture
## Changes
### superclaude/commands/pm.md
- Add "Self-Correcting Execution" section with root cause analysis protocol
- Add "Warning/Error Investigation Culture" section enforcing zero-tolerance for dismissal
- Define error detection protocol: STOP → Investigate → Hypothesis → Different Solution → Execute
- Document anti-patterns (retry without understanding) and correct patterns (research-first)
### docs/Development/hypothesis-pm-autonomous-enhancement-2025-10-14.md
- Add PDCA workflow hypothesis document for PM Agent autonomous enhancement
## Rationale
PM Agent must never retry failed operations without understanding root causes.
All warnings and errors require investigation via context7/WebFetch/documentation
to ensure production-quality code and prevent technical debt accumulation.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* feat(installer): add airis-mcp-gateway MCP server option
## Changes
- Add airis-mcp-gateway to MCP server options in installer
- Configuration: GitHub-based installation via uvx
- Repository: https://github.com/oraios/airis-mcp-gateway
- Purpose: Dynamic MCP Gateway for zero-token baseline and on-demand tool loading
## Implementation
Added to setup/components/mcp.py self.mcp_servers dictionary with:
- install_method: github
- install_command: uvx test installation
- run_command: uvx runtime execution
- required: False (optional server)
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
---------
Co-authored-by: kazuki <kazuki@kazukinoMacBook-Air.local>
Co-authored-by: Claude <noreply@anthropic.com>
2025-10-14 12:17:09 +09:00
|
|
|
- Assess against success criteria
|
|
|
|
|
|
2025-10-17 00:13:55 +09:00
|
|
|
Self-Evaluation Checklist:
|
|
|
|
|
- [ ] Did I follow the architecture patterns?
|
|
|
|
|
- [ ] Did I read all relevant documentation first?
|
|
|
|
|
- [ ] Did I check for existing implementations?
|
|
|
|
|
- [ ] Are all tasks truly complete?
|
|
|
|
|
- [ ] What mistakes did I make?
|
|
|
|
|
- [ ] What did I learn?
|
|
|
|
|
|
refactor: PEP8 compliance - directory rename and code formatting (#425)
* fix(orchestration): add WebFetch auto-trigger for infrastructure configuration
Problem: Infrastructure configuration changes (e.g., Traefik port settings)
were being made based on assumptions without consulting official documentation,
violating the 'Evidence > assumptions' principle in PRINCIPLES.md.
Solution:
- Added Infrastructure Configuration Validation section to MODE_Orchestration.md
- Auto-triggers WebFetch for infrastructure tools (Traefik, nginx, Docker, etc.)
- Enforces MODE_DeepResearch activation for investigation
- BLOCKS assumption-based configuration changes
Testing: Verified WebFetch successfully retrieves Traefik official docs (port 80 default)
This prevents production outages from infrastructure misconfiguration by ensuring
all technical recommendations are backed by official documentation.
* feat: Add PM Agent (Project Manager Agent) for seamless orchestration
Introduces PM Agent as the default orchestration layer that coordinates
all sub-agents and manages workflows automatically.
Key Features:
- Default orchestration: All user interactions handled by PM Agent
- Auto-delegation: Intelligent sub-agent selection based on task analysis
- Docker Gateway integration: Zero-token baseline with dynamic MCP loading
- Self-improvement loop: Automatic documentation of patterns and mistakes
- Optional override: Users can specify sub-agents explicitly if desired
Architecture:
- Agent spec: SuperClaude/Agents/pm-agent.md
- Command: SuperClaude/Commands/pm.md
- Updated docs: README.md (15→16 agents), agents.md (new Orchestration category)
User Experience:
- Default: PM Agent handles everything (seamless, no manual routing)
- Optional: Explicit --agent flag for direct sub-agent access
- Both modes available simultaneously (no user downside)
Implementation Status:
- ✅ Specification complete
- ✅ Documentation complete
- ⏳ Prototype implementation needed
- ⏳ Docker Gateway integration needed
- ⏳ Testing and validation needed
Refs: kazukinakai/docker-mcp-gateway (IRIS MCP Gateway integration)
* feat: Add Agent Orchestration rules for PM Agent default activation
Implements PM Agent as the default orchestration layer in RULES.md.
Key Changes:
- New 'Agent Orchestration' section (CRITICAL priority)
- PM Agent receives ALL user requests by default
- Manual override with @agent-[name] bypasses PM Agent
- Agent Selection Priority clearly defined:
1. Manual override → Direct routing
2. Default → PM Agent → Auto-delegation
3. Delegation based on keywords, file types, complexity, context
User Experience:
- Default: PM Agent handles everything (seamless)
- Override: @agent-[name] for direct specialist access
- Transparent: PM Agent reports delegation decisions
This establishes PM Agent as the orchestration layer while
respecting existing auto-activation patterns and manual overrides.
Next Steps:
- Local testing in agiletec project
- Iteration based on actual behavior
- Documentation updates as needed
* refactor(pm-agent): redesign as self-improvement meta-layer
Problem Resolution:
PM Agent's initial design competed with existing auto-activation for task routing,
creating confusion about orchestration responsibilities and adding unnecessary complexity.
Design Change:
Redefined PM Agent as a meta-layer agent that operates AFTER specialist agents
complete tasks, focusing on:
- Post-implementation documentation and pattern recording
- Immediate mistake analysis with prevention checklists
- Monthly documentation maintenance and noise reduction
- Pattern extraction and knowledge synthesis
Two-Layer Orchestration System:
1. Task Execution Layer: Existing auto-activation handles task routing (unchanged)
2. Self-Improvement Layer: PM Agent meta-layer handles documentation (new)
Files Modified:
- SuperClaude/Agents/pm-agent.md: Complete rewrite with meta-layer design
- Category: orchestration → meta
- Triggers: All user interactions → Post-implementation, mistakes, monthly
- Behavioral Mindset: Continuous learning system
- Self-Improvement Workflow: BEFORE/DURING/AFTER/MISTAKE RECOVERY/MAINTENANCE
- SuperClaude/Core/RULES.md: Agent Orchestration section updated
- Split into Task Execution Layer + Self-Improvement Layer
- Added orchestration flow diagram
- Clarified PM Agent activates AFTER task completion
- README.md: Updated PM Agent description
- "orchestrates all interactions" → "ensures continuous learning"
- Docs/User-Guide/agents.md: PM Agent section rewritten
- Section: Orchestration Agent → Meta-Layer Agent
- Expertise: Project orchestration → Self-improvement workflow executor
- Examples: Task coordination → Post-implementation documentation
- PR_DOCUMENTATION.md: Comprehensive PR documentation added
- Summary, motivation, changes, testing, breaking changes
- Two-layer orchestration system diagram
- Verification checklist
Integration Validated:
Tested with agiletec project's self-improvement-workflow.md:
✅ PM Agent aligns with existing BEFORE/DURING/AFTER/MISTAKE RECOVERY phases
✅ Complements (not competes with) existing workflow
✅ agiletec workflow defines WHAT, PM Agent defines WHO executes it
Breaking Changes: None
- Existing auto-activation continues unchanged
- Specialist agents unaffected
- User workflows remain the same
- New capability: Automatic documentation and knowledge maintenance
Value Proposition:
Transforms SuperClaude into a continuously learning system that accumulates
knowledge, prevents recurring mistakes, and maintains fresh documentation
without manual intervention.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* docs: add Claude Code conversation history management research
Research covering .jsonl file structure, performance impact, and retention policies.
Content:
- Claude Code .jsonl file format and message types
- Performance issues from GitHub (memory leaks, conversation compaction)
- Retention policies (consumer vs enterprise)
- Rotation recommendations based on actual data
- File history snapshot tracking mechanics
Source: Moved from agiletec project (research applicable to all Claude Code projects)
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* feat: add Development documentation structure
Phase 1: Documentation Structure complete
- Add Docs/Development/ directory for development documentation
- Add ARCHITECTURE.md - System architecture with PM Agent meta-layer
- Add ROADMAP.md - 5-phase development plan with checkboxes
- Add TASKS.md - Daily task tracking with progress indicators
- Add PROJECT_STATUS.md - Current status dashboard and metrics
- Add pm-agent-integration.md - Implementation guide for PM Agent mode
This establishes comprehensive documentation foundation for:
- System architecture understanding
- Development planning and tracking
- Implementation guidance
- Progress visibility
Related: #pm-agent-mode #documentation #phase-1
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* feat: PM Agent session lifecycle and PDCA implementation
Phase 2: PM Agent Mode Integration (Design Phase)
Commands/pm.md updates:
- Add "Always-Active Foundation Layer" concept
- Add Session Lifecycle (Session Start/During Work/Session End)
- Add PDCA Cycle (Plan/Do/Check/Act) automation
- Add Serena MCP Memory Integration (list/read/write_memory)
- Document auto-activation triggers
Agents/pm-agent.md updates:
- Add Session Start Protocol (MANDATORY auto-activation)
- Add During Work PDCA Cycle with example workflows
- Add Session End Protocol with state preservation
- Add PDCA Self-Evaluation Pattern
- Add Documentation Strategy (temp → patterns/mistakes)
- Add Memory Operations Reference
Key Features:
- Session start auto-activation for context restoration
- 30-minute checkpoint saves during work
- Self-evaluation with think_about_* operations
- Systematic documentation lifecycle
- Knowledge evolution to CLAUDE.md
Implementation Status:
- ✅ Design complete (Commands/pm.md, Agents/pm-agent.md)
- ⏳ Implementation pending (Core components)
- ⏳ Serena MCP integration pending
Salvaged from mistaken development in ~/.claude directory
Related: #pm-agent-mode #session-lifecycle #pdca-cycle #phase-2
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* fix: disable Serena MCP auto-browser launch
Disable web dashboard and GUI log window auto-launch in Serena MCP server
to prevent intrusive browser popups on startup. Users can still manually
access the dashboard at http://localhost:24282/dashboard/ if needed.
Changes:
- Add CLI flags to Serena run command:
- --enable-web-dashboard false
- --enable-gui-log-window false
- Ensures Git-tracked configuration (no reliance on ~/.serena/serena_config.yml)
- Aligns with AIRIS MCP Gateway integration approach
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* refactor: rename directories to lowercase for PEP8 compliance
- Rename superclaude/Agents -> superclaude/agents
- Rename superclaude/Commands -> superclaude/commands
- Rename superclaude/Core -> superclaude/core
- Rename superclaude/Examples -> superclaude/examples
- Rename superclaude/MCP -> superclaude/mcp
- Rename superclaude/Modes -> superclaude/modes
This change follows Python PEP8 naming conventions for package directories.
* style: fix PEP8 violations and update package name to lowercase
Changes:
- Format all Python files with black (43 files reformatted)
- Update package name from 'SuperClaude' to 'superclaude' in pyproject.toml
- Fix import statements to use lowercase package name
- Add missing imports (timedelta, __version__)
- Remove old SuperClaude.egg-info directory
PEP8 violations reduced from 2672 to 701 (mostly E501 line length due to black's 88 char vs flake8's 79 char limit).
* docs: add PM Agent development documentation
Add comprehensive PM Agent development documentation:
- PM Agent ideal workflow (7-phase autonomous cycle)
- Project structure understanding (Git vs installed environment)
- Installation flow understanding (CommandsComponent behavior)
- Task management system (current-tasks.md)
Purpose: Eliminate repeated explanations and enable autonomous PDCA cycles
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* feat(pm-agent): add self-correcting execution and warning investigation culture
## Changes
### superclaude/commands/pm.md
- Add "Self-Correcting Execution" section with root cause analysis protocol
- Add "Warning/Error Investigation Culture" section enforcing zero-tolerance for dismissal
- Define error detection protocol: STOP → Investigate → Hypothesis → Different Solution → Execute
- Document anti-patterns (retry without understanding) and correct patterns (research-first)
### docs/Development/hypothesis-pm-autonomous-enhancement-2025-10-14.md
- Add PDCA workflow hypothesis document for PM Agent autonomous enhancement
## Rationale
PM Agent must never retry failed operations without understanding root causes.
All warnings and errors require investigation via context7/WebFetch/documentation
to ensure production-quality code and prevent technical debt accumulation.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* feat(installer): add airis-mcp-gateway MCP server option
## Changes
- Add airis-mcp-gateway to MCP server options in installer
- Configuration: GitHub-based installation via uvx
- Repository: https://github.com/oraios/airis-mcp-gateway
- Purpose: Dynamic MCP Gateway for zero-token baseline and on-demand tool loading
## Implementation
Added to setup/components/mcp.py self.mcp_servers dictionary with:
- install_method: github
- install_command: uvx test installation
- run_command: uvx runtime execution
- required: False (optional server)
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
---------
Co-authored-by: kazuki <kazuki@kazukinoMacBook-Air.local>
Co-authored-by: Claude <noreply@anthropic.com>
2025-10-14 12:17:09 +09:00
|
|
|
4. Act Phase (改善 - Improvement):
|
|
|
|
|
Actions:
|
2025-10-17 00:13:55 +09:00
|
|
|
- Success → docs/pdca/[feature]/ → docs/patterns/[pattern-name].md (清書)
|
|
|
|
|
- Success → echo "[pattern]" >> docs/memory/patterns_learned.jsonl
|
|
|
|
|
- Failure → Create docs/mistakes/[feature]-YYYY-MM-DD.md (防止策)
|
refactor: PEP8 compliance - directory rename and code formatting (#425)
* fix(orchestration): add WebFetch auto-trigger for infrastructure configuration
Problem: Infrastructure configuration changes (e.g., Traefik port settings)
were being made based on assumptions without consulting official documentation,
violating the 'Evidence > assumptions' principle in PRINCIPLES.md.
Solution:
- Added Infrastructure Configuration Validation section to MODE_Orchestration.md
- Auto-triggers WebFetch for infrastructure tools (Traefik, nginx, Docker, etc.)
- Enforces MODE_DeepResearch activation for investigation
- BLOCKS assumption-based configuration changes
Testing: Verified WebFetch successfully retrieves Traefik official docs (port 80 default)
This prevents production outages from infrastructure misconfiguration by ensuring
all technical recommendations are backed by official documentation.
* feat: Add PM Agent (Project Manager Agent) for seamless orchestration
Introduces PM Agent as the default orchestration layer that coordinates
all sub-agents and manages workflows automatically.
Key Features:
- Default orchestration: All user interactions handled by PM Agent
- Auto-delegation: Intelligent sub-agent selection based on task analysis
- Docker Gateway integration: Zero-token baseline with dynamic MCP loading
- Self-improvement loop: Automatic documentation of patterns and mistakes
- Optional override: Users can specify sub-agents explicitly if desired
Architecture:
- Agent spec: SuperClaude/Agents/pm-agent.md
- Command: SuperClaude/Commands/pm.md
- Updated docs: README.md (15→16 agents), agents.md (new Orchestration category)
User Experience:
- Default: PM Agent handles everything (seamless, no manual routing)
- Optional: Explicit --agent flag for direct sub-agent access
- Both modes available simultaneously (no user downside)
Implementation Status:
- ✅ Specification complete
- ✅ Documentation complete
- ⏳ Prototype implementation needed
- ⏳ Docker Gateway integration needed
- ⏳ Testing and validation needed
Refs: kazukinakai/docker-mcp-gateway (IRIS MCP Gateway integration)
* feat: Add Agent Orchestration rules for PM Agent default activation
Implements PM Agent as the default orchestration layer in RULES.md.
Key Changes:
- New 'Agent Orchestration' section (CRITICAL priority)
- PM Agent receives ALL user requests by default
- Manual override with @agent-[name] bypasses PM Agent
- Agent Selection Priority clearly defined:
1. Manual override → Direct routing
2. Default → PM Agent → Auto-delegation
3. Delegation based on keywords, file types, complexity, context
User Experience:
- Default: PM Agent handles everything (seamless)
- Override: @agent-[name] for direct specialist access
- Transparent: PM Agent reports delegation decisions
This establishes PM Agent as the orchestration layer while
respecting existing auto-activation patterns and manual overrides.
Next Steps:
- Local testing in agiletec project
- Iteration based on actual behavior
- Documentation updates as needed
* refactor(pm-agent): redesign as self-improvement meta-layer
Problem Resolution:
PM Agent's initial design competed with existing auto-activation for task routing,
creating confusion about orchestration responsibilities and adding unnecessary complexity.
Design Change:
Redefined PM Agent as a meta-layer agent that operates AFTER specialist agents
complete tasks, focusing on:
- Post-implementation documentation and pattern recording
- Immediate mistake analysis with prevention checklists
- Monthly documentation maintenance and noise reduction
- Pattern extraction and knowledge synthesis
Two-Layer Orchestration System:
1. Task Execution Layer: Existing auto-activation handles task routing (unchanged)
2. Self-Improvement Layer: PM Agent meta-layer handles documentation (new)
Files Modified:
- SuperClaude/Agents/pm-agent.md: Complete rewrite with meta-layer design
- Category: orchestration → meta
- Triggers: All user interactions → Post-implementation, mistakes, monthly
- Behavioral Mindset: Continuous learning system
- Self-Improvement Workflow: BEFORE/DURING/AFTER/MISTAKE RECOVERY/MAINTENANCE
- SuperClaude/Core/RULES.md: Agent Orchestration section updated
- Split into Task Execution Layer + Self-Improvement Layer
- Added orchestration flow diagram
- Clarified PM Agent activates AFTER task completion
- README.md: Updated PM Agent description
- "orchestrates all interactions" → "ensures continuous learning"
- Docs/User-Guide/agents.md: PM Agent section rewritten
- Section: Orchestration Agent → Meta-Layer Agent
- Expertise: Project orchestration → Self-improvement workflow executor
- Examples: Task coordination → Post-implementation documentation
- PR_DOCUMENTATION.md: Comprehensive PR documentation added
- Summary, motivation, changes, testing, breaking changes
- Two-layer orchestration system diagram
- Verification checklist
Integration Validated:
Tested with agiletec project's self-improvement-workflow.md:
✅ PM Agent aligns with existing BEFORE/DURING/AFTER/MISTAKE RECOVERY phases
✅ Complements (not competes with) existing workflow
✅ agiletec workflow defines WHAT, PM Agent defines WHO executes it
Breaking Changes: None
- Existing auto-activation continues unchanged
- Specialist agents unaffected
- User workflows remain the same
- New capability: Automatic documentation and knowledge maintenance
Value Proposition:
Transforms SuperClaude into a continuously learning system that accumulates
knowledge, prevents recurring mistakes, and maintains fresh documentation
without manual intervention.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* docs: add Claude Code conversation history management research
Research covering .jsonl file structure, performance impact, and retention policies.
Content:
- Claude Code .jsonl file format and message types
- Performance issues from GitHub (memory leaks, conversation compaction)
- Retention policies (consumer vs enterprise)
- Rotation recommendations based on actual data
- File history snapshot tracking mechanics
Source: Moved from agiletec project (research applicable to all Claude Code projects)
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* feat: add Development documentation structure
Phase 1: Documentation Structure complete
- Add Docs/Development/ directory for development documentation
- Add ARCHITECTURE.md - System architecture with PM Agent meta-layer
- Add ROADMAP.md - 5-phase development plan with checkboxes
- Add TASKS.md - Daily task tracking with progress indicators
- Add PROJECT_STATUS.md - Current status dashboard and metrics
- Add pm-agent-integration.md - Implementation guide for PM Agent mode
This establishes comprehensive documentation foundation for:
- System architecture understanding
- Development planning and tracking
- Implementation guidance
- Progress visibility
Related: #pm-agent-mode #documentation #phase-1
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* feat: PM Agent session lifecycle and PDCA implementation
Phase 2: PM Agent Mode Integration (Design Phase)
Commands/pm.md updates:
- Add "Always-Active Foundation Layer" concept
- Add Session Lifecycle (Session Start/During Work/Session End)
- Add PDCA Cycle (Plan/Do/Check/Act) automation
- Add Serena MCP Memory Integration (list/read/write_memory)
- Document auto-activation triggers
Agents/pm-agent.md updates:
- Add Session Start Protocol (MANDATORY auto-activation)
- Add During Work PDCA Cycle with example workflows
- Add Session End Protocol with state preservation
- Add PDCA Self-Evaluation Pattern
- Add Documentation Strategy (temp → patterns/mistakes)
- Add Memory Operations Reference
Key Features:
- Session start auto-activation for context restoration
- 30-minute checkpoint saves during work
- Self-evaluation with think_about_* operations
- Systematic documentation lifecycle
- Knowledge evolution to CLAUDE.md
Implementation Status:
- ✅ Design complete (Commands/pm.md, Agents/pm-agent.md)
- ⏳ Implementation pending (Core components)
- ⏳ Serena MCP integration pending
Salvaged from mistaken development in ~/.claude directory
Related: #pm-agent-mode #session-lifecycle #pdca-cycle #phase-2
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* fix: disable Serena MCP auto-browser launch
Disable web dashboard and GUI log window auto-launch in Serena MCP server
to prevent intrusive browser popups on startup. Users can still manually
access the dashboard at http://localhost:24282/dashboard/ if needed.
Changes:
- Add CLI flags to Serena run command:
- --enable-web-dashboard false
- --enable-gui-log-window false
- Ensures Git-tracked configuration (no reliance on ~/.serena/serena_config.yml)
- Aligns with AIRIS MCP Gateway integration approach
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* refactor: rename directories to lowercase for PEP8 compliance
- Rename superclaude/Agents -> superclaude/agents
- Rename superclaude/Commands -> superclaude/commands
- Rename superclaude/Core -> superclaude/core
- Rename superclaude/Examples -> superclaude/examples
- Rename superclaude/MCP -> superclaude/mcp
- Rename superclaude/Modes -> superclaude/modes
This change follows Python PEP8 naming conventions for package directories.
* style: fix PEP8 violations and update package name to lowercase
Changes:
- Format all Python files with black (43 files reformatted)
- Update package name from 'SuperClaude' to 'superclaude' in pyproject.toml
- Fix import statements to use lowercase package name
- Add missing imports (timedelta, __version__)
- Remove old SuperClaude.egg-info directory
PEP8 violations reduced from 2672 to 701 (mostly E501 line length due to black's 88 char vs flake8's 79 char limit).
* docs: add PM Agent development documentation
Add comprehensive PM Agent development documentation:
- PM Agent ideal workflow (7-phase autonomous cycle)
- Project structure understanding (Git vs installed environment)
- Installation flow understanding (CommandsComponent behavior)
- Task management system (current-tasks.md)
Purpose: Eliminate repeated explanations and enable autonomous PDCA cycles
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* feat(pm-agent): add self-correcting execution and warning investigation culture
## Changes
### superclaude/commands/pm.md
- Add "Self-Correcting Execution" section with root cause analysis protocol
- Add "Warning/Error Investigation Culture" section enforcing zero-tolerance for dismissal
- Define error detection protocol: STOP → Investigate → Hypothesis → Different Solution → Execute
- Document anti-patterns (retry without understanding) and correct patterns (research-first)
### docs/Development/hypothesis-pm-autonomous-enhancement-2025-10-14.md
- Add PDCA workflow hypothesis document for PM Agent autonomous enhancement
## Rationale
PM Agent must never retry failed operations without understanding root causes.
All warnings and errors require investigation via context7/WebFetch/documentation
to ensure production-quality code and prevent technical debt accumulation.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* feat(installer): add airis-mcp-gateway MCP server option
## Changes
- Add airis-mcp-gateway to MCP server options in installer
- Configuration: GitHub-based installation via uvx
- Repository: https://github.com/oraios/airis-mcp-gateway
- Purpose: Dynamic MCP Gateway for zero-token baseline and on-demand tool loading
## Implementation
Added to setup/components/mcp.py self.mcp_servers dictionary with:
- install_method: github
- install_command: uvx test installation
- run_command: uvx runtime execution
- required: False (optional server)
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
---------
Co-authored-by: kazuki <kazuki@kazukinoMacBook-Air.local>
Co-authored-by: Claude <noreply@anthropic.com>
2025-10-14 12:17:09 +09:00
|
|
|
- Update CLAUDE.md if global pattern discovered
|
2025-10-17 00:13:55 +09:00
|
|
|
- Write docs/memory/session_summary.json → Outcomes
|
refactor: PEP8 compliance - directory rename and code formatting (#425)
* fix(orchestration): add WebFetch auto-trigger for infrastructure configuration
Problem: Infrastructure configuration changes (e.g., Traefik port settings)
were being made based on assumptions without consulting official documentation,
violating the 'Evidence > assumptions' principle in PRINCIPLES.md.
Solution:
- Added Infrastructure Configuration Validation section to MODE_Orchestration.md
- Auto-triggers WebFetch for infrastructure tools (Traefik, nginx, Docker, etc.)
- Enforces MODE_DeepResearch activation for investigation
- BLOCKS assumption-based configuration changes
Testing: Verified WebFetch successfully retrieves Traefik official docs (port 80 default)
This prevents production outages from infrastructure misconfiguration by ensuring
all technical recommendations are backed by official documentation.
* feat: Add PM Agent (Project Manager Agent) for seamless orchestration
Introduces PM Agent as the default orchestration layer that coordinates
all sub-agents and manages workflows automatically.
Key Features:
- Default orchestration: All user interactions handled by PM Agent
- Auto-delegation: Intelligent sub-agent selection based on task analysis
- Docker Gateway integration: Zero-token baseline with dynamic MCP loading
- Self-improvement loop: Automatic documentation of patterns and mistakes
- Optional override: Users can specify sub-agents explicitly if desired
Architecture:
- Agent spec: SuperClaude/Agents/pm-agent.md
- Command: SuperClaude/Commands/pm.md
- Updated docs: README.md (15→16 agents), agents.md (new Orchestration category)
User Experience:
- Default: PM Agent handles everything (seamless, no manual routing)
- Optional: Explicit --agent flag for direct sub-agent access
- Both modes available simultaneously (no user downside)
Implementation Status:
- ✅ Specification complete
- ✅ Documentation complete
- ⏳ Prototype implementation needed
- ⏳ Docker Gateway integration needed
- ⏳ Testing and validation needed
Refs: kazukinakai/docker-mcp-gateway (IRIS MCP Gateway integration)
* feat: Add Agent Orchestration rules for PM Agent default activation
Implements PM Agent as the default orchestration layer in RULES.md.
Key Changes:
- New 'Agent Orchestration' section (CRITICAL priority)
- PM Agent receives ALL user requests by default
- Manual override with @agent-[name] bypasses PM Agent
- Agent Selection Priority clearly defined:
1. Manual override → Direct routing
2. Default → PM Agent → Auto-delegation
3. Delegation based on keywords, file types, complexity, context
User Experience:
- Default: PM Agent handles everything (seamless)
- Override: @agent-[name] for direct specialist access
- Transparent: PM Agent reports delegation decisions
This establishes PM Agent as the orchestration layer while
respecting existing auto-activation patterns and manual overrides.
Next Steps:
- Local testing in agiletec project
- Iteration based on actual behavior
- Documentation updates as needed
* refactor(pm-agent): redesign as self-improvement meta-layer
Problem Resolution:
PM Agent's initial design competed with existing auto-activation for task routing,
creating confusion about orchestration responsibilities and adding unnecessary complexity.
Design Change:
Redefined PM Agent as a meta-layer agent that operates AFTER specialist agents
complete tasks, focusing on:
- Post-implementation documentation and pattern recording
- Immediate mistake analysis with prevention checklists
- Monthly documentation maintenance and noise reduction
- Pattern extraction and knowledge synthesis
Two-Layer Orchestration System:
1. Task Execution Layer: Existing auto-activation handles task routing (unchanged)
2. Self-Improvement Layer: PM Agent meta-layer handles documentation (new)
Files Modified:
- SuperClaude/Agents/pm-agent.md: Complete rewrite with meta-layer design
- Category: orchestration → meta
- Triggers: All user interactions → Post-implementation, mistakes, monthly
- Behavioral Mindset: Continuous learning system
- Self-Improvement Workflow: BEFORE/DURING/AFTER/MISTAKE RECOVERY/MAINTENANCE
- SuperClaude/Core/RULES.md: Agent Orchestration section updated
- Split into Task Execution Layer + Self-Improvement Layer
- Added orchestration flow diagram
- Clarified PM Agent activates AFTER task completion
- README.md: Updated PM Agent description
- "orchestrates all interactions" → "ensures continuous learning"
- Docs/User-Guide/agents.md: PM Agent section rewritten
- Section: Orchestration Agent → Meta-Layer Agent
- Expertise: Project orchestration → Self-improvement workflow executor
- Examples: Task coordination → Post-implementation documentation
- PR_DOCUMENTATION.md: Comprehensive PR documentation added
- Summary, motivation, changes, testing, breaking changes
- Two-layer orchestration system diagram
- Verification checklist
Integration Validated:
Tested with agiletec project's self-improvement-workflow.md:
✅ PM Agent aligns with existing BEFORE/DURING/AFTER/MISTAKE RECOVERY phases
✅ Complements (not competes with) existing workflow
✅ agiletec workflow defines WHAT, PM Agent defines WHO executes it
Breaking Changes: None
- Existing auto-activation continues unchanged
- Specialist agents unaffected
- User workflows remain the same
- New capability: Automatic documentation and knowledge maintenance
Value Proposition:
Transforms SuperClaude into a continuously learning system that accumulates
knowledge, prevents recurring mistakes, and maintains fresh documentation
without manual intervention.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* docs: add Claude Code conversation history management research
Research covering .jsonl file structure, performance impact, and retention policies.
Content:
- Claude Code .jsonl file format and message types
- Performance issues from GitHub (memory leaks, conversation compaction)
- Retention policies (consumer vs enterprise)
- Rotation recommendations based on actual data
- File history snapshot tracking mechanics
Source: Moved from agiletec project (research applicable to all Claude Code projects)
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* feat: add Development documentation structure
Phase 1: Documentation Structure complete
- Add Docs/Development/ directory for development documentation
- Add ARCHITECTURE.md - System architecture with PM Agent meta-layer
- Add ROADMAP.md - 5-phase development plan with checkboxes
- Add TASKS.md - Daily task tracking with progress indicators
- Add PROJECT_STATUS.md - Current status dashboard and metrics
- Add pm-agent-integration.md - Implementation guide for PM Agent mode
This establishes comprehensive documentation foundation for:
- System architecture understanding
- Development planning and tracking
- Implementation guidance
- Progress visibility
Related: #pm-agent-mode #documentation #phase-1
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* feat: PM Agent session lifecycle and PDCA implementation
Phase 2: PM Agent Mode Integration (Design Phase)
Commands/pm.md updates:
- Add "Always-Active Foundation Layer" concept
- Add Session Lifecycle (Session Start/During Work/Session End)
- Add PDCA Cycle (Plan/Do/Check/Act) automation
- Add Serena MCP Memory Integration (list/read/write_memory)
- Document auto-activation triggers
Agents/pm-agent.md updates:
- Add Session Start Protocol (MANDATORY auto-activation)
- Add During Work PDCA Cycle with example workflows
- Add Session End Protocol with state preservation
- Add PDCA Self-Evaluation Pattern
- Add Documentation Strategy (temp → patterns/mistakes)
- Add Memory Operations Reference
Key Features:
- Session start auto-activation for context restoration
- 30-minute checkpoint saves during work
- Self-evaluation with think_about_* operations
- Systematic documentation lifecycle
- Knowledge evolution to CLAUDE.md
Implementation Status:
- ✅ Design complete (Commands/pm.md, Agents/pm-agent.md)
- ⏳ Implementation pending (Core components)
- ⏳ Serena MCP integration pending
Salvaged from mistaken development in ~/.claude directory
Related: #pm-agent-mode #session-lifecycle #pdca-cycle #phase-2
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* fix: disable Serena MCP auto-browser launch
Disable web dashboard and GUI log window auto-launch in Serena MCP server
to prevent intrusive browser popups on startup. Users can still manually
access the dashboard at http://localhost:24282/dashboard/ if needed.
Changes:
- Add CLI flags to Serena run command:
- --enable-web-dashboard false
- --enable-gui-log-window false
- Ensures Git-tracked configuration (no reliance on ~/.serena/serena_config.yml)
- Aligns with AIRIS MCP Gateway integration approach
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* refactor: rename directories to lowercase for PEP8 compliance
- Rename superclaude/Agents -> superclaude/agents
- Rename superclaude/Commands -> superclaude/commands
- Rename superclaude/Core -> superclaude/core
- Rename superclaude/Examples -> superclaude/examples
- Rename superclaude/MCP -> superclaude/mcp
- Rename superclaude/Modes -> superclaude/modes
This change follows Python PEP8 naming conventions for package directories.
* style: fix PEP8 violations and update package name to lowercase
Changes:
- Format all Python files with black (43 files reformatted)
- Update package name from 'SuperClaude' to 'superclaude' in pyproject.toml
- Fix import statements to use lowercase package name
- Add missing imports (timedelta, __version__)
- Remove old SuperClaude.egg-info directory
PEP8 violations reduced from 2672 to 701 (mostly E501 line length due to black's 88 char vs flake8's 79 char limit).
* docs: add PM Agent development documentation
Add comprehensive PM Agent development documentation:
- PM Agent ideal workflow (7-phase autonomous cycle)
- Project structure understanding (Git vs installed environment)
- Installation flow understanding (CommandsComponent behavior)
- Task management system (current-tasks.md)
Purpose: Eliminate repeated explanations and enable autonomous PDCA cycles
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* feat(pm-agent): add self-correcting execution and warning investigation culture
## Changes
### superclaude/commands/pm.md
- Add "Self-Correcting Execution" section with root cause analysis protocol
- Add "Warning/Error Investigation Culture" section enforcing zero-tolerance for dismissal
- Define error detection protocol: STOP → Investigate → Hypothesis → Different Solution → Execute
- Document anti-patterns (retry without understanding) and correct patterns (research-first)
### docs/Development/hypothesis-pm-autonomous-enhancement-2025-10-14.md
- Add PDCA workflow hypothesis document for PM Agent autonomous enhancement
## Rationale
PM Agent must never retry failed operations without understanding root causes.
All warnings and errors require investigation via context7/WebFetch/documentation
to ensure production-quality code and prevent technical debt accumulation.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* feat(installer): add airis-mcp-gateway MCP server option
## Changes
- Add airis-mcp-gateway to MCP server options in installer
- Configuration: GitHub-based installation via uvx
- Repository: https://github.com/oraios/airis-mcp-gateway
- Purpose: Dynamic MCP Gateway for zero-token baseline and on-demand tool loading
## Implementation
Added to setup/components/mcp.py self.mcp_servers dictionary with:
- install_method: github
- install_command: uvx test installation
- run_command: uvx runtime execution
- required: False (optional server)
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
---------
Co-authored-by: kazuki <kazuki@kazukinoMacBook-Air.local>
Co-authored-by: Claude <noreply@anthropic.com>
2025-10-14 12:17:09 +09:00
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```
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### Session End Protocol
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```yaml
|
refactor: PM Agent complete independence from external MCP servers (#439)
* refactor: PM Agent complete independence from external MCP servers
## Summary
Implement graceful degradation to ensure PM Agent operates fully without
any MCP server dependencies. MCP servers now serve as optional enhancements
rather than required components.
## Changes
### Responsibility Separation (NEW)
- **PM Agent**: Development workflow orchestration (PDCA cycle, task management)
- **mindbase**: Memory management (long-term, freshness, error learning)
- **Built-in memory**: Session-internal context (volatile)
### 3-Layer Memory Architecture with Fallbacks
1. **Built-in Memory** [OPTIONAL]: Session context via MCP memory server
2. **mindbase** [OPTIONAL]: Long-term semantic search via airis-mcp-gateway
3. **Local Files** [ALWAYS]: Core functionality in docs/memory/
### Graceful Degradation Implementation
- All MCP operations marked with [ALWAYS] or [OPTIONAL]
- Explicit IF/ELSE fallback logic for every MCP call
- Dual storage: Always write to local files + optionally to mindbase
- Smart lookup: Semantic search (if available) → Text search (always works)
### Key Fallback Strategies
**Session Start**:
- mindbase available: search_conversations() for semantic context
- mindbase unavailable: Grep docs/memory/*.jsonl for text-based lookup
**Error Detection**:
- mindbase available: Semantic search for similar past errors
- mindbase unavailable: Grep docs/mistakes/ + solutions_learned.jsonl
**Knowledge Capture**:
- Always: echo >> docs/memory/patterns_learned.jsonl (persistent)
- Optional: mindbase.store() for semantic search enhancement
## Benefits
- ✅ Zero external dependencies (100% functionality without MCP)
- ✅ Enhanced capabilities when MCPs available (semantic search, freshness)
- ✅ No functionality loss, only reduced search intelligence
- ✅ Transparent degradation (no error messages, automatic fallback)
## Related Research
- Serena MCP investigation: Exposes tools (not resources), memory = markdown files
- mindbase superiority: PostgreSQL + pgvector > Serena memory features
- Best practices alignment: /Users/kazuki/github/airis-mcp-gateway/docs/mcp-best-practices.md
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* chore: add PR template and pre-commit config
- Add structured PR template with Git workflow checklist
- Add pre-commit hooks for secret detection and Conventional Commits
- Enforce code quality gates (YAML/JSON/Markdown lint, shellcheck)
NOTE: Execute pre-commit inside Docker container to avoid host pollution:
docker compose exec workspace uv tool install pre-commit
docker compose exec workspace pre-commit run --all-files
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* docs: update PM Agent context with token efficiency architecture
- Add Layer 0 Bootstrap (150 tokens, 95% reduction)
- Document Intent Classification System (5 complexity levels)
- Add Progressive Loading strategy (5-layer)
- Document mindbase integration incentive (38% savings)
- Update with 2025-10-17 redesign details
* refactor: PM Agent command with progressive loading
- Replace auto-loading with User Request First philosophy
- Add 5-layer progressive context loading
- Implement intent classification system
- Add workflow metrics collection (.jsonl)
- Document graceful degradation strategy
* fix: installer improvements
Update installer logic for better reliability
* docs: add comprehensive development documentation
- Add architecture overview
- Add PM Agent improvements analysis
- Add parallel execution architecture
- Add CLI install improvements
- Add code style guide
- Add project overview
- Add install process analysis
* docs: add research documentation
Add LLM agent token efficiency research and analysis
* docs: add suggested commands reference
* docs: add session logs and testing documentation
- Add session analysis logs
- Add testing documentation
* feat: migrate CLI to typer + rich for modern UX
## What Changed
### New CLI Architecture (typer + rich)
- Created `superclaude/cli/` module with modern typer-based CLI
- Replaced custom UI utilities with rich native features
- Added type-safe command structure with automatic validation
### Commands Implemented
- **install**: Interactive installation with rich UI (progress, panels)
- **doctor**: System diagnostics with rich table output
- **config**: API key management with format validation
### Technical Improvements
- Dependencies: Added typer>=0.9.0, rich>=13.0.0, click>=8.0.0
- Entry Point: Updated pyproject.toml to use `superclaude.cli.app:cli_main`
- Tests: Added comprehensive smoke tests (11 passed)
### User Experience Enhancements
- Rich formatted help messages with panels and tables
- Automatic input validation with retry loops
- Clear error messages with actionable suggestions
- Non-interactive mode support for CI/CD
## Testing
```bash
uv run superclaude --help # ✓ Works
uv run superclaude doctor # ✓ Rich table output
uv run superclaude config show # ✓ API key management
pytest tests/test_cli_smoke.py # ✓ 11 passed, 1 skipped
```
## Migration Path
- ✅ P0: Foundation complete (typer + rich + smoke tests)
- 🔜 P1: Pydantic validation models (next sprint)
- 🔜 P2: Enhanced error messages (next sprint)
- 🔜 P3: API key retry loops (next sprint)
## Performance Impact
- **Code Reduction**: Prepared for -300 lines (custom UI → rich)
- **Type Safety**: Automatic validation from type hints
- **Maintainability**: Framework primitives vs custom code
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* refactor: consolidate documentation directories
Merged claudedocs/ into docs/research/ for consistent documentation structure.
Changes:
- Moved all claudedocs/*.md files to docs/research/
- Updated all path references in documentation (EN/KR)
- Updated RULES.md and research.md command templates
- Removed claudedocs/ directory
- Removed ClaudeDocs/ from .gitignore
Benefits:
- Single source of truth for all research reports
- PEP8-compliant lowercase directory naming
- Clearer documentation organization
- Prevents future claudedocs/ directory creation
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* perf: reduce /sc:pm command output from 1652 to 15 lines
- Remove 1637 lines of documentation from command file
- Keep only minimal bootstrap message
- 99% token reduction on command execution
- Detailed specs remain in superclaude/agents/pm-agent.md
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* perf: split PM Agent into execution workflows and guide
- Reduce pm-agent.md from 735 to 429 lines (42% reduction)
- Move philosophy/examples to docs/agents/pm-agent-guide.md
- Execution workflows (PDCA, file ops) stay in pm-agent.md
- Guide (examples, quality standards) read once when needed
Token savings:
- Agent loading: ~6K → ~3.5K tokens (42% reduction)
- Total with pm.md: 71% overall reduction
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* refactor: consolidate PM Agent optimization and pending changes
PM Agent optimization (already committed separately):
- superclaude/commands/pm.md: 1652→14 lines
- superclaude/agents/pm-agent.md: 735→429 lines
- docs/agents/pm-agent-guide.md: new guide file
Other pending changes:
- setup: framework_docs, mcp, logger, remove ui.py
- superclaude: __main__, cli/app, cli/commands/install
- tests: test_ui updates
- scripts: workflow metrics analysis tools
- docs/memory: session state updates
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* refactor: simplify MCP installer to unified gateway with legacy mode
## Changes
### MCP Component (setup/components/mcp.py)
- Simplified to single airis-mcp-gateway by default
- Added legacy mode for individual official servers (sequential-thinking, context7, magic, playwright)
- Dynamic prerequisites based on mode:
- Default: uv + claude CLI only
- Legacy: node (18+) + npm + claude CLI
- Removed redundant server definitions
### CLI Integration
- Added --legacy flag to setup/cli/commands/install.py
- Added --legacy flag to superclaude/cli/commands/install.py
- Config passes legacy_mode to component installer
## Benefits
- ✅ Simpler: 1 gateway vs 9+ individual servers
- ✅ Lighter: No Node.js/npm required (default mode)
- ✅ Unified: All tools in one gateway (sequential-thinking, context7, magic, playwright, serena, morphllm, tavily, chrome-devtools, git, puppeteer)
- ✅ Flexible: --legacy flag for official servers if needed
## Usage
```bash
superclaude install # Default: airis-mcp-gateway (推奨)
superclaude install --legacy # Legacy: individual official servers
```
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* refactor: rename CoreComponent to FrameworkDocsComponent and add PM token tracking
## Changes
### Component Renaming (setup/components/)
- Renamed CoreComponent → FrameworkDocsComponent for clarity
- Updated all imports in __init__.py, agents.py, commands.py, mcp_docs.py, modes.py
- Better reflects the actual purpose (framework documentation files)
### PM Agent Enhancement (superclaude/commands/pm.md)
- Added token usage tracking instructions
- PM Agent now reports:
1. Current token usage from system warnings
2. Percentage used (e.g., "27% used" for 54K/200K)
3. Status zone: 🟢 <75% | 🟡 75-85% | 🔴 >85%
- Helps prevent token exhaustion during long sessions
### UI Utilities (setup/utils/ui.py)
- Added new UI utility module for installer
- Provides consistent user interface components
## Benefits
- ✅ Clearer component naming (FrameworkDocs vs Core)
- ✅ PM Agent token awareness for efficiency
- ✅ Better visual feedback with status zones
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* refactor(pm-agent): minimize output verbosity (471→284 lines, 40% reduction)
**Problem**: PM Agent generated excessive output with redundant explanations
- "System Status Report" with decorative formatting
- Repeated "Common Tasks" lists user already knows
- Verbose session start/end protocols
- Duplicate file operations documentation
**Solution**: Compress without losing functionality
- Session Start: Reduced to symbol-only status (🟢 branch | nM nD | token%)
- Session End: Compressed to essential actions only
- File Operations: Consolidated from 2 sections to 1 line reference
- Self-Improvement: 5 phases → 1 unified workflow
- Output Rules: Explicit constraints to prevent Claude over-explanation
**Quality Preservation**:
- ✅ All core functions retained (PDCA, memory, patterns, mistakes)
- ✅ PARALLEL Read/Write preserved (performance critical)
- ✅ Workflow unchanged (session lifecycle intact)
- ✅ Added output constraints (prevents verbose generation)
**Reduction Method**:
- Deleted: Explanatory text, examples, redundant sections
- Retained: Action definitions, file paths, core workflows
- Added: Explicit output constraints to enforce minimalism
**Token Impact**: 40% reduction in agent documentation size
**Before**: Verbose multi-section report with task lists
**After**: Single line status: 🟢 integration | 15M 17D | 36%
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* refactor: consolidate MCP integration to unified gateway
**Changes**:
- Remove individual MCP server docs (superclaude/mcp/*.md)
- Remove MCP server configs (superclaude/mcp/configs/*.json)
- Delete MCP docs component (setup/components/mcp_docs.py)
- Simplify installer (setup/core/installer.py)
- Update components for unified gateway approach
**Rationale**:
- Unified gateway (airis-mcp-gateway) provides all MCP servers
- Individual docs/configs no longer needed (managed centrally)
- Reduces maintenance burden and file count
- Simplifies installation process
**Files Removed**: 17 MCP files (docs + configs)
**Installer Changes**: Removed legacy MCP installation logic
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* chore: update version and component metadata
- Bump version (pyproject.toml, setup/__init__.py)
- Update CLAUDE.md import service references
- Reflect component structure changes
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
---------
Co-authored-by: kazuki <kazuki@kazukinoMacBook-Air.local>
Co-authored-by: Claude <noreply@anthropic.com>
2025-10-17 09:13:06 +09:00
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Actions:
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1. PARALLEL Write: docs/memory/{last_session,next_actions,pm_context}.md + session_summary.json
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2. Validation: Bash "ls -lh docs/memory/" (confirm writes)
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3. Cleanup: mv docs/pdca/[success]/ → docs/patterns/ OR mv docs/pdca/[failure]/ → docs/mistakes/
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4. Archive: find docs/pdca -mtime +7 -delete
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Output: ✅ Saved
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refactor: PEP8 compliance - directory rename and code formatting (#425)
* fix(orchestration): add WebFetch auto-trigger for infrastructure configuration
Problem: Infrastructure configuration changes (e.g., Traefik port settings)
were being made based on assumptions without consulting official documentation,
violating the 'Evidence > assumptions' principle in PRINCIPLES.md.
Solution:
- Added Infrastructure Configuration Validation section to MODE_Orchestration.md
- Auto-triggers WebFetch for infrastructure tools (Traefik, nginx, Docker, etc.)
- Enforces MODE_DeepResearch activation for investigation
- BLOCKS assumption-based configuration changes
Testing: Verified WebFetch successfully retrieves Traefik official docs (port 80 default)
This prevents production outages from infrastructure misconfiguration by ensuring
all technical recommendations are backed by official documentation.
* feat: Add PM Agent (Project Manager Agent) for seamless orchestration
Introduces PM Agent as the default orchestration layer that coordinates
all sub-agents and manages workflows automatically.
Key Features:
- Default orchestration: All user interactions handled by PM Agent
- Auto-delegation: Intelligent sub-agent selection based on task analysis
- Docker Gateway integration: Zero-token baseline with dynamic MCP loading
- Self-improvement loop: Automatic documentation of patterns and mistakes
- Optional override: Users can specify sub-agents explicitly if desired
Architecture:
- Agent spec: SuperClaude/Agents/pm-agent.md
- Command: SuperClaude/Commands/pm.md
- Updated docs: README.md (15→16 agents), agents.md (new Orchestration category)
User Experience:
- Default: PM Agent handles everything (seamless, no manual routing)
- Optional: Explicit --agent flag for direct sub-agent access
- Both modes available simultaneously (no user downside)
Implementation Status:
- ✅ Specification complete
- ✅ Documentation complete
- ⏳ Prototype implementation needed
- ⏳ Docker Gateway integration needed
- ⏳ Testing and validation needed
Refs: kazukinakai/docker-mcp-gateway (IRIS MCP Gateway integration)
* feat: Add Agent Orchestration rules for PM Agent default activation
Implements PM Agent as the default orchestration layer in RULES.md.
Key Changes:
- New 'Agent Orchestration' section (CRITICAL priority)
- PM Agent receives ALL user requests by default
- Manual override with @agent-[name] bypasses PM Agent
- Agent Selection Priority clearly defined:
1. Manual override → Direct routing
2. Default → PM Agent → Auto-delegation
3. Delegation based on keywords, file types, complexity, context
User Experience:
- Default: PM Agent handles everything (seamless)
- Override: @agent-[name] for direct specialist access
- Transparent: PM Agent reports delegation decisions
This establishes PM Agent as the orchestration layer while
respecting existing auto-activation patterns and manual overrides.
Next Steps:
- Local testing in agiletec project
- Iteration based on actual behavior
- Documentation updates as needed
* refactor(pm-agent): redesign as self-improvement meta-layer
Problem Resolution:
PM Agent's initial design competed with existing auto-activation for task routing,
creating confusion about orchestration responsibilities and adding unnecessary complexity.
Design Change:
Redefined PM Agent as a meta-layer agent that operates AFTER specialist agents
complete tasks, focusing on:
- Post-implementation documentation and pattern recording
- Immediate mistake analysis with prevention checklists
- Monthly documentation maintenance and noise reduction
- Pattern extraction and knowledge synthesis
Two-Layer Orchestration System:
1. Task Execution Layer: Existing auto-activation handles task routing (unchanged)
2. Self-Improvement Layer: PM Agent meta-layer handles documentation (new)
Files Modified:
- SuperClaude/Agents/pm-agent.md: Complete rewrite with meta-layer design
- Category: orchestration → meta
- Triggers: All user interactions → Post-implementation, mistakes, monthly
- Behavioral Mindset: Continuous learning system
- Self-Improvement Workflow: BEFORE/DURING/AFTER/MISTAKE RECOVERY/MAINTENANCE
- SuperClaude/Core/RULES.md: Agent Orchestration section updated
- Split into Task Execution Layer + Self-Improvement Layer
- Added orchestration flow diagram
- Clarified PM Agent activates AFTER task completion
- README.md: Updated PM Agent description
- "orchestrates all interactions" → "ensures continuous learning"
- Docs/User-Guide/agents.md: PM Agent section rewritten
- Section: Orchestration Agent → Meta-Layer Agent
- Expertise: Project orchestration → Self-improvement workflow executor
- Examples: Task coordination → Post-implementation documentation
- PR_DOCUMENTATION.md: Comprehensive PR documentation added
- Summary, motivation, changes, testing, breaking changes
- Two-layer orchestration system diagram
- Verification checklist
Integration Validated:
Tested with agiletec project's self-improvement-workflow.md:
✅ PM Agent aligns with existing BEFORE/DURING/AFTER/MISTAKE RECOVERY phases
✅ Complements (not competes with) existing workflow
✅ agiletec workflow defines WHAT, PM Agent defines WHO executes it
Breaking Changes: None
- Existing auto-activation continues unchanged
- Specialist agents unaffected
- User workflows remain the same
- New capability: Automatic documentation and knowledge maintenance
Value Proposition:
Transforms SuperClaude into a continuously learning system that accumulates
knowledge, prevents recurring mistakes, and maintains fresh documentation
without manual intervention.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* docs: add Claude Code conversation history management research
Research covering .jsonl file structure, performance impact, and retention policies.
Content:
- Claude Code .jsonl file format and message types
- Performance issues from GitHub (memory leaks, conversation compaction)
- Retention policies (consumer vs enterprise)
- Rotation recommendations based on actual data
- File history snapshot tracking mechanics
Source: Moved from agiletec project (research applicable to all Claude Code projects)
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* feat: add Development documentation structure
Phase 1: Documentation Structure complete
- Add Docs/Development/ directory for development documentation
- Add ARCHITECTURE.md - System architecture with PM Agent meta-layer
- Add ROADMAP.md - 5-phase development plan with checkboxes
- Add TASKS.md - Daily task tracking with progress indicators
- Add PROJECT_STATUS.md - Current status dashboard and metrics
- Add pm-agent-integration.md - Implementation guide for PM Agent mode
This establishes comprehensive documentation foundation for:
- System architecture understanding
- Development planning and tracking
- Implementation guidance
- Progress visibility
Related: #pm-agent-mode #documentation #phase-1
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* feat: PM Agent session lifecycle and PDCA implementation
Phase 2: PM Agent Mode Integration (Design Phase)
Commands/pm.md updates:
- Add "Always-Active Foundation Layer" concept
- Add Session Lifecycle (Session Start/During Work/Session End)
- Add PDCA Cycle (Plan/Do/Check/Act) automation
- Add Serena MCP Memory Integration (list/read/write_memory)
- Document auto-activation triggers
Agents/pm-agent.md updates:
- Add Session Start Protocol (MANDATORY auto-activation)
- Add During Work PDCA Cycle with example workflows
- Add Session End Protocol with state preservation
- Add PDCA Self-Evaluation Pattern
- Add Documentation Strategy (temp → patterns/mistakes)
- Add Memory Operations Reference
Key Features:
- Session start auto-activation for context restoration
- 30-minute checkpoint saves during work
- Self-evaluation with think_about_* operations
- Systematic documentation lifecycle
- Knowledge evolution to CLAUDE.md
Implementation Status:
- ✅ Design complete (Commands/pm.md, Agents/pm-agent.md)
- ⏳ Implementation pending (Core components)
- ⏳ Serena MCP integration pending
Salvaged from mistaken development in ~/.claude directory
Related: #pm-agent-mode #session-lifecycle #pdca-cycle #phase-2
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* fix: disable Serena MCP auto-browser launch
Disable web dashboard and GUI log window auto-launch in Serena MCP server
to prevent intrusive browser popups on startup. Users can still manually
access the dashboard at http://localhost:24282/dashboard/ if needed.
Changes:
- Add CLI flags to Serena run command:
- --enable-web-dashboard false
- --enable-gui-log-window false
- Ensures Git-tracked configuration (no reliance on ~/.serena/serena_config.yml)
- Aligns with AIRIS MCP Gateway integration approach
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* refactor: rename directories to lowercase for PEP8 compliance
- Rename superclaude/Agents -> superclaude/agents
- Rename superclaude/Commands -> superclaude/commands
- Rename superclaude/Core -> superclaude/core
- Rename superclaude/Examples -> superclaude/examples
- Rename superclaude/MCP -> superclaude/mcp
- Rename superclaude/Modes -> superclaude/modes
This change follows Python PEP8 naming conventions for package directories.
* style: fix PEP8 violations and update package name to lowercase
Changes:
- Format all Python files with black (43 files reformatted)
- Update package name from 'SuperClaude' to 'superclaude' in pyproject.toml
- Fix import statements to use lowercase package name
- Add missing imports (timedelta, __version__)
- Remove old SuperClaude.egg-info directory
PEP8 violations reduced from 2672 to 701 (mostly E501 line length due to black's 88 char vs flake8's 79 char limit).
* docs: add PM Agent development documentation
Add comprehensive PM Agent development documentation:
- PM Agent ideal workflow (7-phase autonomous cycle)
- Project structure understanding (Git vs installed environment)
- Installation flow understanding (CommandsComponent behavior)
- Task management system (current-tasks.md)
Purpose: Eliminate repeated explanations and enable autonomous PDCA cycles
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* feat(pm-agent): add self-correcting execution and warning investigation culture
## Changes
### superclaude/commands/pm.md
- Add "Self-Correcting Execution" section with root cause analysis protocol
- Add "Warning/Error Investigation Culture" section enforcing zero-tolerance for dismissal
- Define error detection protocol: STOP → Investigate → Hypothesis → Different Solution → Execute
- Document anti-patterns (retry without understanding) and correct patterns (research-first)
### docs/Development/hypothesis-pm-autonomous-enhancement-2025-10-14.md
- Add PDCA workflow hypothesis document for PM Agent autonomous enhancement
## Rationale
PM Agent must never retry failed operations without understanding root causes.
All warnings and errors require investigation via context7/WebFetch/documentation
to ensure production-quality code and prevent technical debt accumulation.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* feat(installer): add airis-mcp-gateway MCP server option
## Changes
- Add airis-mcp-gateway to MCP server options in installer
- Configuration: GitHub-based installation via uvx
- Repository: https://github.com/oraios/airis-mcp-gateway
- Purpose: Dynamic MCP Gateway for zero-token baseline and on-demand tool loading
## Implementation
Added to setup/components/mcp.py self.mcp_servers dictionary with:
- install_method: github
- install_command: uvx test installation
- run_command: uvx runtime execution
- required: False (optional server)
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
---------
Co-authored-by: kazuki <kazuki@kazukinoMacBook-Air.local>
Co-authored-by: Claude <noreply@anthropic.com>
2025-10-14 12:17:09 +09:00
|
|
|
```
|
|
|
|
|
|
|
|
|
|
## PDCA Self-Evaluation Pattern
|
|
|
|
|
|
|
|
|
|
```yaml
|
|
|
|
|
Plan (仮説生成):
|
2025-10-17 00:13:55 +09:00
|
|
|
Questions:
|
|
|
|
|
- "What am I trying to accomplish?"
|
|
|
|
|
- "What approach should I take?"
|
|
|
|
|
- "What are the success criteria?"
|
|
|
|
|
- "What could go wrong?"
|
refactor: PEP8 compliance - directory rename and code formatting (#425)
* fix(orchestration): add WebFetch auto-trigger for infrastructure configuration
Problem: Infrastructure configuration changes (e.g., Traefik port settings)
were being made based on assumptions without consulting official documentation,
violating the 'Evidence > assumptions' principle in PRINCIPLES.md.
Solution:
- Added Infrastructure Configuration Validation section to MODE_Orchestration.md
- Auto-triggers WebFetch for infrastructure tools (Traefik, nginx, Docker, etc.)
- Enforces MODE_DeepResearch activation for investigation
- BLOCKS assumption-based configuration changes
Testing: Verified WebFetch successfully retrieves Traefik official docs (port 80 default)
This prevents production outages from infrastructure misconfiguration by ensuring
all technical recommendations are backed by official documentation.
* feat: Add PM Agent (Project Manager Agent) for seamless orchestration
Introduces PM Agent as the default orchestration layer that coordinates
all sub-agents and manages workflows automatically.
Key Features:
- Default orchestration: All user interactions handled by PM Agent
- Auto-delegation: Intelligent sub-agent selection based on task analysis
- Docker Gateway integration: Zero-token baseline with dynamic MCP loading
- Self-improvement loop: Automatic documentation of patterns and mistakes
- Optional override: Users can specify sub-agents explicitly if desired
Architecture:
- Agent spec: SuperClaude/Agents/pm-agent.md
- Command: SuperClaude/Commands/pm.md
- Updated docs: README.md (15→16 agents), agents.md (new Orchestration category)
User Experience:
- Default: PM Agent handles everything (seamless, no manual routing)
- Optional: Explicit --agent flag for direct sub-agent access
- Both modes available simultaneously (no user downside)
Implementation Status:
- ✅ Specification complete
- ✅ Documentation complete
- ⏳ Prototype implementation needed
- ⏳ Docker Gateway integration needed
- ⏳ Testing and validation needed
Refs: kazukinakai/docker-mcp-gateway (IRIS MCP Gateway integration)
* feat: Add Agent Orchestration rules for PM Agent default activation
Implements PM Agent as the default orchestration layer in RULES.md.
Key Changes:
- New 'Agent Orchestration' section (CRITICAL priority)
- PM Agent receives ALL user requests by default
- Manual override with @agent-[name] bypasses PM Agent
- Agent Selection Priority clearly defined:
1. Manual override → Direct routing
2. Default → PM Agent → Auto-delegation
3. Delegation based on keywords, file types, complexity, context
User Experience:
- Default: PM Agent handles everything (seamless)
- Override: @agent-[name] for direct specialist access
- Transparent: PM Agent reports delegation decisions
This establishes PM Agent as the orchestration layer while
respecting existing auto-activation patterns and manual overrides.
Next Steps:
- Local testing in agiletec project
- Iteration based on actual behavior
- Documentation updates as needed
* refactor(pm-agent): redesign as self-improvement meta-layer
Problem Resolution:
PM Agent's initial design competed with existing auto-activation for task routing,
creating confusion about orchestration responsibilities and adding unnecessary complexity.
Design Change:
Redefined PM Agent as a meta-layer agent that operates AFTER specialist agents
complete tasks, focusing on:
- Post-implementation documentation and pattern recording
- Immediate mistake analysis with prevention checklists
- Monthly documentation maintenance and noise reduction
- Pattern extraction and knowledge synthesis
Two-Layer Orchestration System:
1. Task Execution Layer: Existing auto-activation handles task routing (unchanged)
2. Self-Improvement Layer: PM Agent meta-layer handles documentation (new)
Files Modified:
- SuperClaude/Agents/pm-agent.md: Complete rewrite with meta-layer design
- Category: orchestration → meta
- Triggers: All user interactions → Post-implementation, mistakes, monthly
- Behavioral Mindset: Continuous learning system
- Self-Improvement Workflow: BEFORE/DURING/AFTER/MISTAKE RECOVERY/MAINTENANCE
- SuperClaude/Core/RULES.md: Agent Orchestration section updated
- Split into Task Execution Layer + Self-Improvement Layer
- Added orchestration flow diagram
- Clarified PM Agent activates AFTER task completion
- README.md: Updated PM Agent description
- "orchestrates all interactions" → "ensures continuous learning"
- Docs/User-Guide/agents.md: PM Agent section rewritten
- Section: Orchestration Agent → Meta-Layer Agent
- Expertise: Project orchestration → Self-improvement workflow executor
- Examples: Task coordination → Post-implementation documentation
- PR_DOCUMENTATION.md: Comprehensive PR documentation added
- Summary, motivation, changes, testing, breaking changes
- Two-layer orchestration system diagram
- Verification checklist
Integration Validated:
Tested with agiletec project's self-improvement-workflow.md:
✅ PM Agent aligns with existing BEFORE/DURING/AFTER/MISTAKE RECOVERY phases
✅ Complements (not competes with) existing workflow
✅ agiletec workflow defines WHAT, PM Agent defines WHO executes it
Breaking Changes: None
- Existing auto-activation continues unchanged
- Specialist agents unaffected
- User workflows remain the same
- New capability: Automatic documentation and knowledge maintenance
Value Proposition:
Transforms SuperClaude into a continuously learning system that accumulates
knowledge, prevents recurring mistakes, and maintains fresh documentation
without manual intervention.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* docs: add Claude Code conversation history management research
Research covering .jsonl file structure, performance impact, and retention policies.
Content:
- Claude Code .jsonl file format and message types
- Performance issues from GitHub (memory leaks, conversation compaction)
- Retention policies (consumer vs enterprise)
- Rotation recommendations based on actual data
- File history snapshot tracking mechanics
Source: Moved from agiletec project (research applicable to all Claude Code projects)
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* feat: add Development documentation structure
Phase 1: Documentation Structure complete
- Add Docs/Development/ directory for development documentation
- Add ARCHITECTURE.md - System architecture with PM Agent meta-layer
- Add ROADMAP.md - 5-phase development plan with checkboxes
- Add TASKS.md - Daily task tracking with progress indicators
- Add PROJECT_STATUS.md - Current status dashboard and metrics
- Add pm-agent-integration.md - Implementation guide for PM Agent mode
This establishes comprehensive documentation foundation for:
- System architecture understanding
- Development planning and tracking
- Implementation guidance
- Progress visibility
Related: #pm-agent-mode #documentation #phase-1
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* feat: PM Agent session lifecycle and PDCA implementation
Phase 2: PM Agent Mode Integration (Design Phase)
Commands/pm.md updates:
- Add "Always-Active Foundation Layer" concept
- Add Session Lifecycle (Session Start/During Work/Session End)
- Add PDCA Cycle (Plan/Do/Check/Act) automation
- Add Serena MCP Memory Integration (list/read/write_memory)
- Document auto-activation triggers
Agents/pm-agent.md updates:
- Add Session Start Protocol (MANDATORY auto-activation)
- Add During Work PDCA Cycle with example workflows
- Add Session End Protocol with state preservation
- Add PDCA Self-Evaluation Pattern
- Add Documentation Strategy (temp → patterns/mistakes)
- Add Memory Operations Reference
Key Features:
- Session start auto-activation for context restoration
- 30-minute checkpoint saves during work
- Self-evaluation with think_about_* operations
- Systematic documentation lifecycle
- Knowledge evolution to CLAUDE.md
Implementation Status:
- ✅ Design complete (Commands/pm.md, Agents/pm-agent.md)
- ⏳ Implementation pending (Core components)
- ⏳ Serena MCP integration pending
Salvaged from mistaken development in ~/.claude directory
Related: #pm-agent-mode #session-lifecycle #pdca-cycle #phase-2
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* fix: disable Serena MCP auto-browser launch
Disable web dashboard and GUI log window auto-launch in Serena MCP server
to prevent intrusive browser popups on startup. Users can still manually
access the dashboard at http://localhost:24282/dashboard/ if needed.
Changes:
- Add CLI flags to Serena run command:
- --enable-web-dashboard false
- --enable-gui-log-window false
- Ensures Git-tracked configuration (no reliance on ~/.serena/serena_config.yml)
- Aligns with AIRIS MCP Gateway integration approach
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* refactor: rename directories to lowercase for PEP8 compliance
- Rename superclaude/Agents -> superclaude/agents
- Rename superclaude/Commands -> superclaude/commands
- Rename superclaude/Core -> superclaude/core
- Rename superclaude/Examples -> superclaude/examples
- Rename superclaude/MCP -> superclaude/mcp
- Rename superclaude/Modes -> superclaude/modes
This change follows Python PEP8 naming conventions for package directories.
* style: fix PEP8 violations and update package name to lowercase
Changes:
- Format all Python files with black (43 files reformatted)
- Update package name from 'SuperClaude' to 'superclaude' in pyproject.toml
- Fix import statements to use lowercase package name
- Add missing imports (timedelta, __version__)
- Remove old SuperClaude.egg-info directory
PEP8 violations reduced from 2672 to 701 (mostly E501 line length due to black's 88 char vs flake8's 79 char limit).
* docs: add PM Agent development documentation
Add comprehensive PM Agent development documentation:
- PM Agent ideal workflow (7-phase autonomous cycle)
- Project structure understanding (Git vs installed environment)
- Installation flow understanding (CommandsComponent behavior)
- Task management system (current-tasks.md)
Purpose: Eliminate repeated explanations and enable autonomous PDCA cycles
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* feat(pm-agent): add self-correcting execution and warning investigation culture
## Changes
### superclaude/commands/pm.md
- Add "Self-Correcting Execution" section with root cause analysis protocol
- Add "Warning/Error Investigation Culture" section enforcing zero-tolerance for dismissal
- Define error detection protocol: STOP → Investigate → Hypothesis → Different Solution → Execute
- Document anti-patterns (retry without understanding) and correct patterns (research-first)
### docs/Development/hypothesis-pm-autonomous-enhancement-2025-10-14.md
- Add PDCA workflow hypothesis document for PM Agent autonomous enhancement
## Rationale
PM Agent must never retry failed operations without understanding root causes.
All warnings and errors require investigation via context7/WebFetch/documentation
to ensure production-quality code and prevent technical debt accumulation.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* feat(installer): add airis-mcp-gateway MCP server option
## Changes
- Add airis-mcp-gateway to MCP server options in installer
- Configuration: GitHub-based installation via uvx
- Repository: https://github.com/oraios/airis-mcp-gateway
- Purpose: Dynamic MCP Gateway for zero-token baseline and on-demand tool loading
## Implementation
Added to setup/components/mcp.py self.mcp_servers dictionary with:
- install_method: github
- install_command: uvx test installation
- run_command: uvx runtime execution
- required: False (optional server)
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
---------
Co-authored-by: kazuki <kazuki@kazukinoMacBook-Air.local>
Co-authored-by: Claude <noreply@anthropic.com>
2025-10-14 12:17:09 +09:00
|
|
|
|
|
|
|
|
Do (実験実行):
|
|
|
|
|
- Execute planned approach
|
|
|
|
|
- Monitor for deviations from plan
|
|
|
|
|
- Record unexpected issues
|
|
|
|
|
- Adapt strategy as needed
|
|
|
|
|
|
|
|
|
|
Check (自己評価):
|
2025-10-17 00:13:55 +09:00
|
|
|
Self-Evaluation Checklist:
|
|
|
|
|
- [ ] Did I follow the architecture patterns?
|
|
|
|
|
- [ ] Did I read all relevant documentation first?
|
|
|
|
|
- [ ] Did I check for existing implementations?
|
|
|
|
|
- [ ] Are all tasks truly complete?
|
|
|
|
|
- [ ] What mistakes did I make?
|
|
|
|
|
- [ ] What did I learn?
|
|
|
|
|
|
|
|
|
|
Documentation:
|
|
|
|
|
- Create docs/pdca/[feature]/check.md
|
|
|
|
|
- Record evaluation results
|
|
|
|
|
- Identify lessons learned
|
refactor: PEP8 compliance - directory rename and code formatting (#425)
* fix(orchestration): add WebFetch auto-trigger for infrastructure configuration
Problem: Infrastructure configuration changes (e.g., Traefik port settings)
were being made based on assumptions without consulting official documentation,
violating the 'Evidence > assumptions' principle in PRINCIPLES.md.
Solution:
- Added Infrastructure Configuration Validation section to MODE_Orchestration.md
- Auto-triggers WebFetch for infrastructure tools (Traefik, nginx, Docker, etc.)
- Enforces MODE_DeepResearch activation for investigation
- BLOCKS assumption-based configuration changes
Testing: Verified WebFetch successfully retrieves Traefik official docs (port 80 default)
This prevents production outages from infrastructure misconfiguration by ensuring
all technical recommendations are backed by official documentation.
* feat: Add PM Agent (Project Manager Agent) for seamless orchestration
Introduces PM Agent as the default orchestration layer that coordinates
all sub-agents and manages workflows automatically.
Key Features:
- Default orchestration: All user interactions handled by PM Agent
- Auto-delegation: Intelligent sub-agent selection based on task analysis
- Docker Gateway integration: Zero-token baseline with dynamic MCP loading
- Self-improvement loop: Automatic documentation of patterns and mistakes
- Optional override: Users can specify sub-agents explicitly if desired
Architecture:
- Agent spec: SuperClaude/Agents/pm-agent.md
- Command: SuperClaude/Commands/pm.md
- Updated docs: README.md (15→16 agents), agents.md (new Orchestration category)
User Experience:
- Default: PM Agent handles everything (seamless, no manual routing)
- Optional: Explicit --agent flag for direct sub-agent access
- Both modes available simultaneously (no user downside)
Implementation Status:
- ✅ Specification complete
- ✅ Documentation complete
- ⏳ Prototype implementation needed
- ⏳ Docker Gateway integration needed
- ⏳ Testing and validation needed
Refs: kazukinakai/docker-mcp-gateway (IRIS MCP Gateway integration)
* feat: Add Agent Orchestration rules for PM Agent default activation
Implements PM Agent as the default orchestration layer in RULES.md.
Key Changes:
- New 'Agent Orchestration' section (CRITICAL priority)
- PM Agent receives ALL user requests by default
- Manual override with @agent-[name] bypasses PM Agent
- Agent Selection Priority clearly defined:
1. Manual override → Direct routing
2. Default → PM Agent → Auto-delegation
3. Delegation based on keywords, file types, complexity, context
User Experience:
- Default: PM Agent handles everything (seamless)
- Override: @agent-[name] for direct specialist access
- Transparent: PM Agent reports delegation decisions
This establishes PM Agent as the orchestration layer while
respecting existing auto-activation patterns and manual overrides.
Next Steps:
- Local testing in agiletec project
- Iteration based on actual behavior
- Documentation updates as needed
* refactor(pm-agent): redesign as self-improvement meta-layer
Problem Resolution:
PM Agent's initial design competed with existing auto-activation for task routing,
creating confusion about orchestration responsibilities and adding unnecessary complexity.
Design Change:
Redefined PM Agent as a meta-layer agent that operates AFTER specialist agents
complete tasks, focusing on:
- Post-implementation documentation and pattern recording
- Immediate mistake analysis with prevention checklists
- Monthly documentation maintenance and noise reduction
- Pattern extraction and knowledge synthesis
Two-Layer Orchestration System:
1. Task Execution Layer: Existing auto-activation handles task routing (unchanged)
2. Self-Improvement Layer: PM Agent meta-layer handles documentation (new)
Files Modified:
- SuperClaude/Agents/pm-agent.md: Complete rewrite with meta-layer design
- Category: orchestration → meta
- Triggers: All user interactions → Post-implementation, mistakes, monthly
- Behavioral Mindset: Continuous learning system
- Self-Improvement Workflow: BEFORE/DURING/AFTER/MISTAKE RECOVERY/MAINTENANCE
- SuperClaude/Core/RULES.md: Agent Orchestration section updated
- Split into Task Execution Layer + Self-Improvement Layer
- Added orchestration flow diagram
- Clarified PM Agent activates AFTER task completion
- README.md: Updated PM Agent description
- "orchestrates all interactions" → "ensures continuous learning"
- Docs/User-Guide/agents.md: PM Agent section rewritten
- Section: Orchestration Agent → Meta-Layer Agent
- Expertise: Project orchestration → Self-improvement workflow executor
- Examples: Task coordination → Post-implementation documentation
- PR_DOCUMENTATION.md: Comprehensive PR documentation added
- Summary, motivation, changes, testing, breaking changes
- Two-layer orchestration system diagram
- Verification checklist
Integration Validated:
Tested with agiletec project's self-improvement-workflow.md:
✅ PM Agent aligns with existing BEFORE/DURING/AFTER/MISTAKE RECOVERY phases
✅ Complements (not competes with) existing workflow
✅ agiletec workflow defines WHAT, PM Agent defines WHO executes it
Breaking Changes: None
- Existing auto-activation continues unchanged
- Specialist agents unaffected
- User workflows remain the same
- New capability: Automatic documentation and knowledge maintenance
Value Proposition:
Transforms SuperClaude into a continuously learning system that accumulates
knowledge, prevents recurring mistakes, and maintains fresh documentation
without manual intervention.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* docs: add Claude Code conversation history management research
Research covering .jsonl file structure, performance impact, and retention policies.
Content:
- Claude Code .jsonl file format and message types
- Performance issues from GitHub (memory leaks, conversation compaction)
- Retention policies (consumer vs enterprise)
- Rotation recommendations based on actual data
- File history snapshot tracking mechanics
Source: Moved from agiletec project (research applicable to all Claude Code projects)
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* feat: add Development documentation structure
Phase 1: Documentation Structure complete
- Add Docs/Development/ directory for development documentation
- Add ARCHITECTURE.md - System architecture with PM Agent meta-layer
- Add ROADMAP.md - 5-phase development plan with checkboxes
- Add TASKS.md - Daily task tracking with progress indicators
- Add PROJECT_STATUS.md - Current status dashboard and metrics
- Add pm-agent-integration.md - Implementation guide for PM Agent mode
This establishes comprehensive documentation foundation for:
- System architecture understanding
- Development planning and tracking
- Implementation guidance
- Progress visibility
Related: #pm-agent-mode #documentation #phase-1
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* feat: PM Agent session lifecycle and PDCA implementation
Phase 2: PM Agent Mode Integration (Design Phase)
Commands/pm.md updates:
- Add "Always-Active Foundation Layer" concept
- Add Session Lifecycle (Session Start/During Work/Session End)
- Add PDCA Cycle (Plan/Do/Check/Act) automation
- Add Serena MCP Memory Integration (list/read/write_memory)
- Document auto-activation triggers
Agents/pm-agent.md updates:
- Add Session Start Protocol (MANDATORY auto-activation)
- Add During Work PDCA Cycle with example workflows
- Add Session End Protocol with state preservation
- Add PDCA Self-Evaluation Pattern
- Add Documentation Strategy (temp → patterns/mistakes)
- Add Memory Operations Reference
Key Features:
- Session start auto-activation for context restoration
- 30-minute checkpoint saves during work
- Self-evaluation with think_about_* operations
- Systematic documentation lifecycle
- Knowledge evolution to CLAUDE.md
Implementation Status:
- ✅ Design complete (Commands/pm.md, Agents/pm-agent.md)
- ⏳ Implementation pending (Core components)
- ⏳ Serena MCP integration pending
Salvaged from mistaken development in ~/.claude directory
Related: #pm-agent-mode #session-lifecycle #pdca-cycle #phase-2
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* fix: disable Serena MCP auto-browser launch
Disable web dashboard and GUI log window auto-launch in Serena MCP server
to prevent intrusive browser popups on startup. Users can still manually
access the dashboard at http://localhost:24282/dashboard/ if needed.
Changes:
- Add CLI flags to Serena run command:
- --enable-web-dashboard false
- --enable-gui-log-window false
- Ensures Git-tracked configuration (no reliance on ~/.serena/serena_config.yml)
- Aligns with AIRIS MCP Gateway integration approach
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* refactor: rename directories to lowercase for PEP8 compliance
- Rename superclaude/Agents -> superclaude/agents
- Rename superclaude/Commands -> superclaude/commands
- Rename superclaude/Core -> superclaude/core
- Rename superclaude/Examples -> superclaude/examples
- Rename superclaude/MCP -> superclaude/mcp
- Rename superclaude/Modes -> superclaude/modes
This change follows Python PEP8 naming conventions for package directories.
* style: fix PEP8 violations and update package name to lowercase
Changes:
- Format all Python files with black (43 files reformatted)
- Update package name from 'SuperClaude' to 'superclaude' in pyproject.toml
- Fix import statements to use lowercase package name
- Add missing imports (timedelta, __version__)
- Remove old SuperClaude.egg-info directory
PEP8 violations reduced from 2672 to 701 (mostly E501 line length due to black's 88 char vs flake8's 79 char limit).
* docs: add PM Agent development documentation
Add comprehensive PM Agent development documentation:
- PM Agent ideal workflow (7-phase autonomous cycle)
- Project structure understanding (Git vs installed environment)
- Installation flow understanding (CommandsComponent behavior)
- Task management system (current-tasks.md)
Purpose: Eliminate repeated explanations and enable autonomous PDCA cycles
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* feat(pm-agent): add self-correcting execution and warning investigation culture
## Changes
### superclaude/commands/pm.md
- Add "Self-Correcting Execution" section with root cause analysis protocol
- Add "Warning/Error Investigation Culture" section enforcing zero-tolerance for dismissal
- Define error detection protocol: STOP → Investigate → Hypothesis → Different Solution → Execute
- Document anti-patterns (retry without understanding) and correct patterns (research-first)
### docs/Development/hypothesis-pm-autonomous-enhancement-2025-10-14.md
- Add PDCA workflow hypothesis document for PM Agent autonomous enhancement
## Rationale
PM Agent must never retry failed operations without understanding root causes.
All warnings and errors require investigation via context7/WebFetch/documentation
to ensure production-quality code and prevent technical debt accumulation.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* feat(installer): add airis-mcp-gateway MCP server option
## Changes
- Add airis-mcp-gateway to MCP server options in installer
- Configuration: GitHub-based installation via uvx
- Repository: https://github.com/oraios/airis-mcp-gateway
- Purpose: Dynamic MCP Gateway for zero-token baseline and on-demand tool loading
## Implementation
Added to setup/components/mcp.py self.mcp_servers dictionary with:
- install_method: github
- install_command: uvx test installation
- run_command: uvx runtime execution
- required: False (optional server)
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
---------
Co-authored-by: kazuki <kazuki@kazukinoMacBook-Air.local>
Co-authored-by: Claude <noreply@anthropic.com>
2025-10-14 12:17:09 +09:00
|
|
|
|
|
|
|
|
Act (改善実行):
|
|
|
|
|
Success Path:
|
|
|
|
|
- Extract successful pattern
|
|
|
|
|
- Document in docs/patterns/
|
|
|
|
|
- Update CLAUDE.md if global
|
|
|
|
|
- Create reusable template
|
2025-10-17 00:13:55 +09:00
|
|
|
- echo "[pattern]" >> docs/memory/patterns_learned.jsonl
|
refactor: PEP8 compliance - directory rename and code formatting (#425)
* fix(orchestration): add WebFetch auto-trigger for infrastructure configuration
Problem: Infrastructure configuration changes (e.g., Traefik port settings)
were being made based on assumptions without consulting official documentation,
violating the 'Evidence > assumptions' principle in PRINCIPLES.md.
Solution:
- Added Infrastructure Configuration Validation section to MODE_Orchestration.md
- Auto-triggers WebFetch for infrastructure tools (Traefik, nginx, Docker, etc.)
- Enforces MODE_DeepResearch activation for investigation
- BLOCKS assumption-based configuration changes
Testing: Verified WebFetch successfully retrieves Traefik official docs (port 80 default)
This prevents production outages from infrastructure misconfiguration by ensuring
all technical recommendations are backed by official documentation.
* feat: Add PM Agent (Project Manager Agent) for seamless orchestration
Introduces PM Agent as the default orchestration layer that coordinates
all sub-agents and manages workflows automatically.
Key Features:
- Default orchestration: All user interactions handled by PM Agent
- Auto-delegation: Intelligent sub-agent selection based on task analysis
- Docker Gateway integration: Zero-token baseline with dynamic MCP loading
- Self-improvement loop: Automatic documentation of patterns and mistakes
- Optional override: Users can specify sub-agents explicitly if desired
Architecture:
- Agent spec: SuperClaude/Agents/pm-agent.md
- Command: SuperClaude/Commands/pm.md
- Updated docs: README.md (15→16 agents), agents.md (new Orchestration category)
User Experience:
- Default: PM Agent handles everything (seamless, no manual routing)
- Optional: Explicit --agent flag for direct sub-agent access
- Both modes available simultaneously (no user downside)
Implementation Status:
- ✅ Specification complete
- ✅ Documentation complete
- ⏳ Prototype implementation needed
- ⏳ Docker Gateway integration needed
- ⏳ Testing and validation needed
Refs: kazukinakai/docker-mcp-gateway (IRIS MCP Gateway integration)
* feat: Add Agent Orchestration rules for PM Agent default activation
Implements PM Agent as the default orchestration layer in RULES.md.
Key Changes:
- New 'Agent Orchestration' section (CRITICAL priority)
- PM Agent receives ALL user requests by default
- Manual override with @agent-[name] bypasses PM Agent
- Agent Selection Priority clearly defined:
1. Manual override → Direct routing
2. Default → PM Agent → Auto-delegation
3. Delegation based on keywords, file types, complexity, context
User Experience:
- Default: PM Agent handles everything (seamless)
- Override: @agent-[name] for direct specialist access
- Transparent: PM Agent reports delegation decisions
This establishes PM Agent as the orchestration layer while
respecting existing auto-activation patterns and manual overrides.
Next Steps:
- Local testing in agiletec project
- Iteration based on actual behavior
- Documentation updates as needed
* refactor(pm-agent): redesign as self-improvement meta-layer
Problem Resolution:
PM Agent's initial design competed with existing auto-activation for task routing,
creating confusion about orchestration responsibilities and adding unnecessary complexity.
Design Change:
Redefined PM Agent as a meta-layer agent that operates AFTER specialist agents
complete tasks, focusing on:
- Post-implementation documentation and pattern recording
- Immediate mistake analysis with prevention checklists
- Monthly documentation maintenance and noise reduction
- Pattern extraction and knowledge synthesis
Two-Layer Orchestration System:
1. Task Execution Layer: Existing auto-activation handles task routing (unchanged)
2. Self-Improvement Layer: PM Agent meta-layer handles documentation (new)
Files Modified:
- SuperClaude/Agents/pm-agent.md: Complete rewrite with meta-layer design
- Category: orchestration → meta
- Triggers: All user interactions → Post-implementation, mistakes, monthly
- Behavioral Mindset: Continuous learning system
- Self-Improvement Workflow: BEFORE/DURING/AFTER/MISTAKE RECOVERY/MAINTENANCE
- SuperClaude/Core/RULES.md: Agent Orchestration section updated
- Split into Task Execution Layer + Self-Improvement Layer
- Added orchestration flow diagram
- Clarified PM Agent activates AFTER task completion
- README.md: Updated PM Agent description
- "orchestrates all interactions" → "ensures continuous learning"
- Docs/User-Guide/agents.md: PM Agent section rewritten
- Section: Orchestration Agent → Meta-Layer Agent
- Expertise: Project orchestration → Self-improvement workflow executor
- Examples: Task coordination → Post-implementation documentation
- PR_DOCUMENTATION.md: Comprehensive PR documentation added
- Summary, motivation, changes, testing, breaking changes
- Two-layer orchestration system diagram
- Verification checklist
Integration Validated:
Tested with agiletec project's self-improvement-workflow.md:
✅ PM Agent aligns with existing BEFORE/DURING/AFTER/MISTAKE RECOVERY phases
✅ Complements (not competes with) existing workflow
✅ agiletec workflow defines WHAT, PM Agent defines WHO executes it
Breaking Changes: None
- Existing auto-activation continues unchanged
- Specialist agents unaffected
- User workflows remain the same
- New capability: Automatic documentation and knowledge maintenance
Value Proposition:
Transforms SuperClaude into a continuously learning system that accumulates
knowledge, prevents recurring mistakes, and maintains fresh documentation
without manual intervention.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* docs: add Claude Code conversation history management research
Research covering .jsonl file structure, performance impact, and retention policies.
Content:
- Claude Code .jsonl file format and message types
- Performance issues from GitHub (memory leaks, conversation compaction)
- Retention policies (consumer vs enterprise)
- Rotation recommendations based on actual data
- File history snapshot tracking mechanics
Source: Moved from agiletec project (research applicable to all Claude Code projects)
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* feat: add Development documentation structure
Phase 1: Documentation Structure complete
- Add Docs/Development/ directory for development documentation
- Add ARCHITECTURE.md - System architecture with PM Agent meta-layer
- Add ROADMAP.md - 5-phase development plan with checkboxes
- Add TASKS.md - Daily task tracking with progress indicators
- Add PROJECT_STATUS.md - Current status dashboard and metrics
- Add pm-agent-integration.md - Implementation guide for PM Agent mode
This establishes comprehensive documentation foundation for:
- System architecture understanding
- Development planning and tracking
- Implementation guidance
- Progress visibility
Related: #pm-agent-mode #documentation #phase-1
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* feat: PM Agent session lifecycle and PDCA implementation
Phase 2: PM Agent Mode Integration (Design Phase)
Commands/pm.md updates:
- Add "Always-Active Foundation Layer" concept
- Add Session Lifecycle (Session Start/During Work/Session End)
- Add PDCA Cycle (Plan/Do/Check/Act) automation
- Add Serena MCP Memory Integration (list/read/write_memory)
- Document auto-activation triggers
Agents/pm-agent.md updates:
- Add Session Start Protocol (MANDATORY auto-activation)
- Add During Work PDCA Cycle with example workflows
- Add Session End Protocol with state preservation
- Add PDCA Self-Evaluation Pattern
- Add Documentation Strategy (temp → patterns/mistakes)
- Add Memory Operations Reference
Key Features:
- Session start auto-activation for context restoration
- 30-minute checkpoint saves during work
- Self-evaluation with think_about_* operations
- Systematic documentation lifecycle
- Knowledge evolution to CLAUDE.md
Implementation Status:
- ✅ Design complete (Commands/pm.md, Agents/pm-agent.md)
- ⏳ Implementation pending (Core components)
- ⏳ Serena MCP integration pending
Salvaged from mistaken development in ~/.claude directory
Related: #pm-agent-mode #session-lifecycle #pdca-cycle #phase-2
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* fix: disable Serena MCP auto-browser launch
Disable web dashboard and GUI log window auto-launch in Serena MCP server
to prevent intrusive browser popups on startup. Users can still manually
access the dashboard at http://localhost:24282/dashboard/ if needed.
Changes:
- Add CLI flags to Serena run command:
- --enable-web-dashboard false
- --enable-gui-log-window false
- Ensures Git-tracked configuration (no reliance on ~/.serena/serena_config.yml)
- Aligns with AIRIS MCP Gateway integration approach
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* refactor: rename directories to lowercase for PEP8 compliance
- Rename superclaude/Agents -> superclaude/agents
- Rename superclaude/Commands -> superclaude/commands
- Rename superclaude/Core -> superclaude/core
- Rename superclaude/Examples -> superclaude/examples
- Rename superclaude/MCP -> superclaude/mcp
- Rename superclaude/Modes -> superclaude/modes
This change follows Python PEP8 naming conventions for package directories.
* style: fix PEP8 violations and update package name to lowercase
Changes:
- Format all Python files with black (43 files reformatted)
- Update package name from 'SuperClaude' to 'superclaude' in pyproject.toml
- Fix import statements to use lowercase package name
- Add missing imports (timedelta, __version__)
- Remove old SuperClaude.egg-info directory
PEP8 violations reduced from 2672 to 701 (mostly E501 line length due to black's 88 char vs flake8's 79 char limit).
* docs: add PM Agent development documentation
Add comprehensive PM Agent development documentation:
- PM Agent ideal workflow (7-phase autonomous cycle)
- Project structure understanding (Git vs installed environment)
- Installation flow understanding (CommandsComponent behavior)
- Task management system (current-tasks.md)
Purpose: Eliminate repeated explanations and enable autonomous PDCA cycles
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* feat(pm-agent): add self-correcting execution and warning investigation culture
## Changes
### superclaude/commands/pm.md
- Add "Self-Correcting Execution" section with root cause analysis protocol
- Add "Warning/Error Investigation Culture" section enforcing zero-tolerance for dismissal
- Define error detection protocol: STOP → Investigate → Hypothesis → Different Solution → Execute
- Document anti-patterns (retry without understanding) and correct patterns (research-first)
### docs/Development/hypothesis-pm-autonomous-enhancement-2025-10-14.md
- Add PDCA workflow hypothesis document for PM Agent autonomous enhancement
## Rationale
PM Agent must never retry failed operations without understanding root causes.
All warnings and errors require investigation via context7/WebFetch/documentation
to ensure production-quality code and prevent technical debt accumulation.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* feat(installer): add airis-mcp-gateway MCP server option
## Changes
- Add airis-mcp-gateway to MCP server options in installer
- Configuration: GitHub-based installation via uvx
- Repository: https://github.com/oraios/airis-mcp-gateway
- Purpose: Dynamic MCP Gateway for zero-token baseline and on-demand tool loading
## Implementation
Added to setup/components/mcp.py self.mcp_servers dictionary with:
- install_method: github
- install_command: uvx test installation
- run_command: uvx runtime execution
- required: False (optional server)
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
---------
Co-authored-by: kazuki <kazuki@kazukinoMacBook-Air.local>
Co-authored-by: Claude <noreply@anthropic.com>
2025-10-14 12:17:09 +09:00
|
|
|
|
|
|
|
|
Failure Path:
|
|
|
|
|
- Root cause analysis
|
|
|
|
|
- Document in docs/mistakes/
|
|
|
|
|
- Create prevention checklist
|
|
|
|
|
- Update anti-patterns documentation
|
2025-10-17 00:13:55 +09:00
|
|
|
- echo "[mistake]" >> docs/memory/mistakes_learned.jsonl
|
refactor: PEP8 compliance - directory rename and code formatting (#425)
* fix(orchestration): add WebFetch auto-trigger for infrastructure configuration
Problem: Infrastructure configuration changes (e.g., Traefik port settings)
were being made based on assumptions without consulting official documentation,
violating the 'Evidence > assumptions' principle in PRINCIPLES.md.
Solution:
- Added Infrastructure Configuration Validation section to MODE_Orchestration.md
- Auto-triggers WebFetch for infrastructure tools (Traefik, nginx, Docker, etc.)
- Enforces MODE_DeepResearch activation for investigation
- BLOCKS assumption-based configuration changes
Testing: Verified WebFetch successfully retrieves Traefik official docs (port 80 default)
This prevents production outages from infrastructure misconfiguration by ensuring
all technical recommendations are backed by official documentation.
* feat: Add PM Agent (Project Manager Agent) for seamless orchestration
Introduces PM Agent as the default orchestration layer that coordinates
all sub-agents and manages workflows automatically.
Key Features:
- Default orchestration: All user interactions handled by PM Agent
- Auto-delegation: Intelligent sub-agent selection based on task analysis
- Docker Gateway integration: Zero-token baseline with dynamic MCP loading
- Self-improvement loop: Automatic documentation of patterns and mistakes
- Optional override: Users can specify sub-agents explicitly if desired
Architecture:
- Agent spec: SuperClaude/Agents/pm-agent.md
- Command: SuperClaude/Commands/pm.md
- Updated docs: README.md (15→16 agents), agents.md (new Orchestration category)
User Experience:
- Default: PM Agent handles everything (seamless, no manual routing)
- Optional: Explicit --agent flag for direct sub-agent access
- Both modes available simultaneously (no user downside)
Implementation Status:
- ✅ Specification complete
- ✅ Documentation complete
- ⏳ Prototype implementation needed
- ⏳ Docker Gateway integration needed
- ⏳ Testing and validation needed
Refs: kazukinakai/docker-mcp-gateway (IRIS MCP Gateway integration)
* feat: Add Agent Orchestration rules for PM Agent default activation
Implements PM Agent as the default orchestration layer in RULES.md.
Key Changes:
- New 'Agent Orchestration' section (CRITICAL priority)
- PM Agent receives ALL user requests by default
- Manual override with @agent-[name] bypasses PM Agent
- Agent Selection Priority clearly defined:
1. Manual override → Direct routing
2. Default → PM Agent → Auto-delegation
3. Delegation based on keywords, file types, complexity, context
User Experience:
- Default: PM Agent handles everything (seamless)
- Override: @agent-[name] for direct specialist access
- Transparent: PM Agent reports delegation decisions
This establishes PM Agent as the orchestration layer while
respecting existing auto-activation patterns and manual overrides.
Next Steps:
- Local testing in agiletec project
- Iteration based on actual behavior
- Documentation updates as needed
* refactor(pm-agent): redesign as self-improvement meta-layer
Problem Resolution:
PM Agent's initial design competed with existing auto-activation for task routing,
creating confusion about orchestration responsibilities and adding unnecessary complexity.
Design Change:
Redefined PM Agent as a meta-layer agent that operates AFTER specialist agents
complete tasks, focusing on:
- Post-implementation documentation and pattern recording
- Immediate mistake analysis with prevention checklists
- Monthly documentation maintenance and noise reduction
- Pattern extraction and knowledge synthesis
Two-Layer Orchestration System:
1. Task Execution Layer: Existing auto-activation handles task routing (unchanged)
2. Self-Improvement Layer: PM Agent meta-layer handles documentation (new)
Files Modified:
- SuperClaude/Agents/pm-agent.md: Complete rewrite with meta-layer design
- Category: orchestration → meta
- Triggers: All user interactions → Post-implementation, mistakes, monthly
- Behavioral Mindset: Continuous learning system
- Self-Improvement Workflow: BEFORE/DURING/AFTER/MISTAKE RECOVERY/MAINTENANCE
- SuperClaude/Core/RULES.md: Agent Orchestration section updated
- Split into Task Execution Layer + Self-Improvement Layer
- Added orchestration flow diagram
- Clarified PM Agent activates AFTER task completion
- README.md: Updated PM Agent description
- "orchestrates all interactions" → "ensures continuous learning"
- Docs/User-Guide/agents.md: PM Agent section rewritten
- Section: Orchestration Agent → Meta-Layer Agent
- Expertise: Project orchestration → Self-improvement workflow executor
- Examples: Task coordination → Post-implementation documentation
- PR_DOCUMENTATION.md: Comprehensive PR documentation added
- Summary, motivation, changes, testing, breaking changes
- Two-layer orchestration system diagram
- Verification checklist
Integration Validated:
Tested with agiletec project's self-improvement-workflow.md:
✅ PM Agent aligns with existing BEFORE/DURING/AFTER/MISTAKE RECOVERY phases
✅ Complements (not competes with) existing workflow
✅ agiletec workflow defines WHAT, PM Agent defines WHO executes it
Breaking Changes: None
- Existing auto-activation continues unchanged
- Specialist agents unaffected
- User workflows remain the same
- New capability: Automatic documentation and knowledge maintenance
Value Proposition:
Transforms SuperClaude into a continuously learning system that accumulates
knowledge, prevents recurring mistakes, and maintains fresh documentation
without manual intervention.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* docs: add Claude Code conversation history management research
Research covering .jsonl file structure, performance impact, and retention policies.
Content:
- Claude Code .jsonl file format and message types
- Performance issues from GitHub (memory leaks, conversation compaction)
- Retention policies (consumer vs enterprise)
- Rotation recommendations based on actual data
- File history snapshot tracking mechanics
Source: Moved from agiletec project (research applicable to all Claude Code projects)
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* feat: add Development documentation structure
Phase 1: Documentation Structure complete
- Add Docs/Development/ directory for development documentation
- Add ARCHITECTURE.md - System architecture with PM Agent meta-layer
- Add ROADMAP.md - 5-phase development plan with checkboxes
- Add TASKS.md - Daily task tracking with progress indicators
- Add PROJECT_STATUS.md - Current status dashboard and metrics
- Add pm-agent-integration.md - Implementation guide for PM Agent mode
This establishes comprehensive documentation foundation for:
- System architecture understanding
- Development planning and tracking
- Implementation guidance
- Progress visibility
Related: #pm-agent-mode #documentation #phase-1
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* feat: PM Agent session lifecycle and PDCA implementation
Phase 2: PM Agent Mode Integration (Design Phase)
Commands/pm.md updates:
- Add "Always-Active Foundation Layer" concept
- Add Session Lifecycle (Session Start/During Work/Session End)
- Add PDCA Cycle (Plan/Do/Check/Act) automation
- Add Serena MCP Memory Integration (list/read/write_memory)
- Document auto-activation triggers
Agents/pm-agent.md updates:
- Add Session Start Protocol (MANDATORY auto-activation)
- Add During Work PDCA Cycle with example workflows
- Add Session End Protocol with state preservation
- Add PDCA Self-Evaluation Pattern
- Add Documentation Strategy (temp → patterns/mistakes)
- Add Memory Operations Reference
Key Features:
- Session start auto-activation for context restoration
- 30-minute checkpoint saves during work
- Self-evaluation with think_about_* operations
- Systematic documentation lifecycle
- Knowledge evolution to CLAUDE.md
Implementation Status:
- ✅ Design complete (Commands/pm.md, Agents/pm-agent.md)
- ⏳ Implementation pending (Core components)
- ⏳ Serena MCP integration pending
Salvaged from mistaken development in ~/.claude directory
Related: #pm-agent-mode #session-lifecycle #pdca-cycle #phase-2
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* fix: disable Serena MCP auto-browser launch
Disable web dashboard and GUI log window auto-launch in Serena MCP server
to prevent intrusive browser popups on startup. Users can still manually
access the dashboard at http://localhost:24282/dashboard/ if needed.
Changes:
- Add CLI flags to Serena run command:
- --enable-web-dashboard false
- --enable-gui-log-window false
- Ensures Git-tracked configuration (no reliance on ~/.serena/serena_config.yml)
- Aligns with AIRIS MCP Gateway integration approach
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* refactor: rename directories to lowercase for PEP8 compliance
- Rename superclaude/Agents -> superclaude/agents
- Rename superclaude/Commands -> superclaude/commands
- Rename superclaude/Core -> superclaude/core
- Rename superclaude/Examples -> superclaude/examples
- Rename superclaude/MCP -> superclaude/mcp
- Rename superclaude/Modes -> superclaude/modes
This change follows Python PEP8 naming conventions for package directories.
* style: fix PEP8 violations and update package name to lowercase
Changes:
- Format all Python files with black (43 files reformatted)
- Update package name from 'SuperClaude' to 'superclaude' in pyproject.toml
- Fix import statements to use lowercase package name
- Add missing imports (timedelta, __version__)
- Remove old SuperClaude.egg-info directory
PEP8 violations reduced from 2672 to 701 (mostly E501 line length due to black's 88 char vs flake8's 79 char limit).
* docs: add PM Agent development documentation
Add comprehensive PM Agent development documentation:
- PM Agent ideal workflow (7-phase autonomous cycle)
- Project structure understanding (Git vs installed environment)
- Installation flow understanding (CommandsComponent behavior)
- Task management system (current-tasks.md)
Purpose: Eliminate repeated explanations and enable autonomous PDCA cycles
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* feat(pm-agent): add self-correcting execution and warning investigation culture
## Changes
### superclaude/commands/pm.md
- Add "Self-Correcting Execution" section with root cause analysis protocol
- Add "Warning/Error Investigation Culture" section enforcing zero-tolerance for dismissal
- Define error detection protocol: STOP → Investigate → Hypothesis → Different Solution → Execute
- Document anti-patterns (retry without understanding) and correct patterns (research-first)
### docs/Development/hypothesis-pm-autonomous-enhancement-2025-10-14.md
- Add PDCA workflow hypothesis document for PM Agent autonomous enhancement
## Rationale
PM Agent must never retry failed operations without understanding root causes.
All warnings and errors require investigation via context7/WebFetch/documentation
to ensure production-quality code and prevent technical debt accumulation.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* feat(installer): add airis-mcp-gateway MCP server option
## Changes
- Add airis-mcp-gateway to MCP server options in installer
- Configuration: GitHub-based installation via uvx
- Repository: https://github.com/oraios/airis-mcp-gateway
- Purpose: Dynamic MCP Gateway for zero-token baseline and on-demand tool loading
## Implementation
Added to setup/components/mcp.py self.mcp_servers dictionary with:
- install_method: github
- install_command: uvx test installation
- run_command: uvx runtime execution
- required: False (optional server)
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
---------
Co-authored-by: kazuki <kazuki@kazukinoMacBook-Air.local>
Co-authored-by: Claude <noreply@anthropic.com>
2025-10-14 12:17:09 +09:00
|
|
|
```
|
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|
|
refactor: PM Agent complete independence from external MCP servers (#439)
* refactor: PM Agent complete independence from external MCP servers
## Summary
Implement graceful degradation to ensure PM Agent operates fully without
any MCP server dependencies. MCP servers now serve as optional enhancements
rather than required components.
## Changes
### Responsibility Separation (NEW)
- **PM Agent**: Development workflow orchestration (PDCA cycle, task management)
- **mindbase**: Memory management (long-term, freshness, error learning)
- **Built-in memory**: Session-internal context (volatile)
### 3-Layer Memory Architecture with Fallbacks
1. **Built-in Memory** [OPTIONAL]: Session context via MCP memory server
2. **mindbase** [OPTIONAL]: Long-term semantic search via airis-mcp-gateway
3. **Local Files** [ALWAYS]: Core functionality in docs/memory/
### Graceful Degradation Implementation
- All MCP operations marked with [ALWAYS] or [OPTIONAL]
- Explicit IF/ELSE fallback logic for every MCP call
- Dual storage: Always write to local files + optionally to mindbase
- Smart lookup: Semantic search (if available) → Text search (always works)
### Key Fallback Strategies
**Session Start**:
- mindbase available: search_conversations() for semantic context
- mindbase unavailable: Grep docs/memory/*.jsonl for text-based lookup
**Error Detection**:
- mindbase available: Semantic search for similar past errors
- mindbase unavailable: Grep docs/mistakes/ + solutions_learned.jsonl
**Knowledge Capture**:
- Always: echo >> docs/memory/patterns_learned.jsonl (persistent)
- Optional: mindbase.store() for semantic search enhancement
## Benefits
- ✅ Zero external dependencies (100% functionality without MCP)
- ✅ Enhanced capabilities when MCPs available (semantic search, freshness)
- ✅ No functionality loss, only reduced search intelligence
- ✅ Transparent degradation (no error messages, automatic fallback)
## Related Research
- Serena MCP investigation: Exposes tools (not resources), memory = markdown files
- mindbase superiority: PostgreSQL + pgvector > Serena memory features
- Best practices alignment: /Users/kazuki/github/airis-mcp-gateway/docs/mcp-best-practices.md
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* chore: add PR template and pre-commit config
- Add structured PR template with Git workflow checklist
- Add pre-commit hooks for secret detection and Conventional Commits
- Enforce code quality gates (YAML/JSON/Markdown lint, shellcheck)
NOTE: Execute pre-commit inside Docker container to avoid host pollution:
docker compose exec workspace uv tool install pre-commit
docker compose exec workspace pre-commit run --all-files
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* docs: update PM Agent context with token efficiency architecture
- Add Layer 0 Bootstrap (150 tokens, 95% reduction)
- Document Intent Classification System (5 complexity levels)
- Add Progressive Loading strategy (5-layer)
- Document mindbase integration incentive (38% savings)
- Update with 2025-10-17 redesign details
* refactor: PM Agent command with progressive loading
- Replace auto-loading with User Request First philosophy
- Add 5-layer progressive context loading
- Implement intent classification system
- Add workflow metrics collection (.jsonl)
- Document graceful degradation strategy
* fix: installer improvements
Update installer logic for better reliability
* docs: add comprehensive development documentation
- Add architecture overview
- Add PM Agent improvements analysis
- Add parallel execution architecture
- Add CLI install improvements
- Add code style guide
- Add project overview
- Add install process analysis
* docs: add research documentation
Add LLM agent token efficiency research and analysis
* docs: add suggested commands reference
* docs: add session logs and testing documentation
- Add session analysis logs
- Add testing documentation
* feat: migrate CLI to typer + rich for modern UX
## What Changed
### New CLI Architecture (typer + rich)
- Created `superclaude/cli/` module with modern typer-based CLI
- Replaced custom UI utilities with rich native features
- Added type-safe command structure with automatic validation
### Commands Implemented
- **install**: Interactive installation with rich UI (progress, panels)
- **doctor**: System diagnostics with rich table output
- **config**: API key management with format validation
### Technical Improvements
- Dependencies: Added typer>=0.9.0, rich>=13.0.0, click>=8.0.0
- Entry Point: Updated pyproject.toml to use `superclaude.cli.app:cli_main`
- Tests: Added comprehensive smoke tests (11 passed)
### User Experience Enhancements
- Rich formatted help messages with panels and tables
- Automatic input validation with retry loops
- Clear error messages with actionable suggestions
- Non-interactive mode support for CI/CD
## Testing
```bash
uv run superclaude --help # ✓ Works
uv run superclaude doctor # ✓ Rich table output
uv run superclaude config show # ✓ API key management
pytest tests/test_cli_smoke.py # ✓ 11 passed, 1 skipped
```
## Migration Path
- ✅ P0: Foundation complete (typer + rich + smoke tests)
- 🔜 P1: Pydantic validation models (next sprint)
- 🔜 P2: Enhanced error messages (next sprint)
- 🔜 P3: API key retry loops (next sprint)
## Performance Impact
- **Code Reduction**: Prepared for -300 lines (custom UI → rich)
- **Type Safety**: Automatic validation from type hints
- **Maintainability**: Framework primitives vs custom code
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* refactor: consolidate documentation directories
Merged claudedocs/ into docs/research/ for consistent documentation structure.
Changes:
- Moved all claudedocs/*.md files to docs/research/
- Updated all path references in documentation (EN/KR)
- Updated RULES.md and research.md command templates
- Removed claudedocs/ directory
- Removed ClaudeDocs/ from .gitignore
Benefits:
- Single source of truth for all research reports
- PEP8-compliant lowercase directory naming
- Clearer documentation organization
- Prevents future claudedocs/ directory creation
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* perf: reduce /sc:pm command output from 1652 to 15 lines
- Remove 1637 lines of documentation from command file
- Keep only minimal bootstrap message
- 99% token reduction on command execution
- Detailed specs remain in superclaude/agents/pm-agent.md
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* perf: split PM Agent into execution workflows and guide
- Reduce pm-agent.md from 735 to 429 lines (42% reduction)
- Move philosophy/examples to docs/agents/pm-agent-guide.md
- Execution workflows (PDCA, file ops) stay in pm-agent.md
- Guide (examples, quality standards) read once when needed
Token savings:
- Agent loading: ~6K → ~3.5K tokens (42% reduction)
- Total with pm.md: 71% overall reduction
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* refactor: consolidate PM Agent optimization and pending changes
PM Agent optimization (already committed separately):
- superclaude/commands/pm.md: 1652→14 lines
- superclaude/agents/pm-agent.md: 735→429 lines
- docs/agents/pm-agent-guide.md: new guide file
Other pending changes:
- setup: framework_docs, mcp, logger, remove ui.py
- superclaude: __main__, cli/app, cli/commands/install
- tests: test_ui updates
- scripts: workflow metrics analysis tools
- docs/memory: session state updates
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* refactor: simplify MCP installer to unified gateway with legacy mode
## Changes
### MCP Component (setup/components/mcp.py)
- Simplified to single airis-mcp-gateway by default
- Added legacy mode for individual official servers (sequential-thinking, context7, magic, playwright)
- Dynamic prerequisites based on mode:
- Default: uv + claude CLI only
- Legacy: node (18+) + npm + claude CLI
- Removed redundant server definitions
### CLI Integration
- Added --legacy flag to setup/cli/commands/install.py
- Added --legacy flag to superclaude/cli/commands/install.py
- Config passes legacy_mode to component installer
## Benefits
- ✅ Simpler: 1 gateway vs 9+ individual servers
- ✅ Lighter: No Node.js/npm required (default mode)
- ✅ Unified: All tools in one gateway (sequential-thinking, context7, magic, playwright, serena, morphllm, tavily, chrome-devtools, git, puppeteer)
- ✅ Flexible: --legacy flag for official servers if needed
## Usage
```bash
superclaude install # Default: airis-mcp-gateway (推奨)
superclaude install --legacy # Legacy: individual official servers
```
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* refactor: rename CoreComponent to FrameworkDocsComponent and add PM token tracking
## Changes
### Component Renaming (setup/components/)
- Renamed CoreComponent → FrameworkDocsComponent for clarity
- Updated all imports in __init__.py, agents.py, commands.py, mcp_docs.py, modes.py
- Better reflects the actual purpose (framework documentation files)
### PM Agent Enhancement (superclaude/commands/pm.md)
- Added token usage tracking instructions
- PM Agent now reports:
1. Current token usage from system warnings
2. Percentage used (e.g., "27% used" for 54K/200K)
3. Status zone: 🟢 <75% | 🟡 75-85% | 🔴 >85%
- Helps prevent token exhaustion during long sessions
### UI Utilities (setup/utils/ui.py)
- Added new UI utility module for installer
- Provides consistent user interface components
## Benefits
- ✅ Clearer component naming (FrameworkDocs vs Core)
- ✅ PM Agent token awareness for efficiency
- ✅ Better visual feedback with status zones
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* refactor(pm-agent): minimize output verbosity (471→284 lines, 40% reduction)
**Problem**: PM Agent generated excessive output with redundant explanations
- "System Status Report" with decorative formatting
- Repeated "Common Tasks" lists user already knows
- Verbose session start/end protocols
- Duplicate file operations documentation
**Solution**: Compress without losing functionality
- Session Start: Reduced to symbol-only status (🟢 branch | nM nD | token%)
- Session End: Compressed to essential actions only
- File Operations: Consolidated from 2 sections to 1 line reference
- Self-Improvement: 5 phases → 1 unified workflow
- Output Rules: Explicit constraints to prevent Claude over-explanation
**Quality Preservation**:
- ✅ All core functions retained (PDCA, memory, patterns, mistakes)
- ✅ PARALLEL Read/Write preserved (performance critical)
- ✅ Workflow unchanged (session lifecycle intact)
- ✅ Added output constraints (prevents verbose generation)
**Reduction Method**:
- Deleted: Explanatory text, examples, redundant sections
- Retained: Action definitions, file paths, core workflows
- Added: Explicit output constraints to enforce minimalism
**Token Impact**: 40% reduction in agent documentation size
**Before**: Verbose multi-section report with task lists
**After**: Single line status: 🟢 integration | 15M 17D | 36%
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* refactor: consolidate MCP integration to unified gateway
**Changes**:
- Remove individual MCP server docs (superclaude/mcp/*.md)
- Remove MCP server configs (superclaude/mcp/configs/*.json)
- Delete MCP docs component (setup/components/mcp_docs.py)
- Simplify installer (setup/core/installer.py)
- Update components for unified gateway approach
**Rationale**:
- Unified gateway (airis-mcp-gateway) provides all MCP servers
- Individual docs/configs no longer needed (managed centrally)
- Reduces maintenance burden and file count
- Simplifies installation process
**Files Removed**: 17 MCP files (docs + configs)
**Installer Changes**: Removed legacy MCP installation logic
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* chore: update version and component metadata
- Bump version (pyproject.toml, setup/__init__.py)
- Update CLAUDE.md import service references
- Reflect component structure changes
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
---------
Co-authored-by: kazuki <kazuki@kazukinoMacBook-Air.local>
Co-authored-by: Claude <noreply@anthropic.com>
2025-10-17 09:13:06 +09:00
|
|
|
## Documentation Strategy
|
refactor: PEP8 compliance - directory rename and code formatting (#425)
* fix(orchestration): add WebFetch auto-trigger for infrastructure configuration
Problem: Infrastructure configuration changes (e.g., Traefik port settings)
were being made based on assumptions without consulting official documentation,
violating the 'Evidence > assumptions' principle in PRINCIPLES.md.
Solution:
- Added Infrastructure Configuration Validation section to MODE_Orchestration.md
- Auto-triggers WebFetch for infrastructure tools (Traefik, nginx, Docker, etc.)
- Enforces MODE_DeepResearch activation for investigation
- BLOCKS assumption-based configuration changes
Testing: Verified WebFetch successfully retrieves Traefik official docs (port 80 default)
This prevents production outages from infrastructure misconfiguration by ensuring
all technical recommendations are backed by official documentation.
* feat: Add PM Agent (Project Manager Agent) for seamless orchestration
Introduces PM Agent as the default orchestration layer that coordinates
all sub-agents and manages workflows automatically.
Key Features:
- Default orchestration: All user interactions handled by PM Agent
- Auto-delegation: Intelligent sub-agent selection based on task analysis
- Docker Gateway integration: Zero-token baseline with dynamic MCP loading
- Self-improvement loop: Automatic documentation of patterns and mistakes
- Optional override: Users can specify sub-agents explicitly if desired
Architecture:
- Agent spec: SuperClaude/Agents/pm-agent.md
- Command: SuperClaude/Commands/pm.md
- Updated docs: README.md (15→16 agents), agents.md (new Orchestration category)
User Experience:
- Default: PM Agent handles everything (seamless, no manual routing)
- Optional: Explicit --agent flag for direct sub-agent access
- Both modes available simultaneously (no user downside)
Implementation Status:
- ✅ Specification complete
- ✅ Documentation complete
- ⏳ Prototype implementation needed
- ⏳ Docker Gateway integration needed
- ⏳ Testing and validation needed
Refs: kazukinakai/docker-mcp-gateway (IRIS MCP Gateway integration)
* feat: Add Agent Orchestration rules for PM Agent default activation
Implements PM Agent as the default orchestration layer in RULES.md.
Key Changes:
- New 'Agent Orchestration' section (CRITICAL priority)
- PM Agent receives ALL user requests by default
- Manual override with @agent-[name] bypasses PM Agent
- Agent Selection Priority clearly defined:
1. Manual override → Direct routing
2. Default → PM Agent → Auto-delegation
3. Delegation based on keywords, file types, complexity, context
User Experience:
- Default: PM Agent handles everything (seamless)
- Override: @agent-[name] for direct specialist access
- Transparent: PM Agent reports delegation decisions
This establishes PM Agent as the orchestration layer while
respecting existing auto-activation patterns and manual overrides.
Next Steps:
- Local testing in agiletec project
- Iteration based on actual behavior
- Documentation updates as needed
* refactor(pm-agent): redesign as self-improvement meta-layer
Problem Resolution:
PM Agent's initial design competed with existing auto-activation for task routing,
creating confusion about orchestration responsibilities and adding unnecessary complexity.
Design Change:
Redefined PM Agent as a meta-layer agent that operates AFTER specialist agents
complete tasks, focusing on:
- Post-implementation documentation and pattern recording
- Immediate mistake analysis with prevention checklists
- Monthly documentation maintenance and noise reduction
- Pattern extraction and knowledge synthesis
Two-Layer Orchestration System:
1. Task Execution Layer: Existing auto-activation handles task routing (unchanged)
2. Self-Improvement Layer: PM Agent meta-layer handles documentation (new)
Files Modified:
- SuperClaude/Agents/pm-agent.md: Complete rewrite with meta-layer design
- Category: orchestration → meta
- Triggers: All user interactions → Post-implementation, mistakes, monthly
- Behavioral Mindset: Continuous learning system
- Self-Improvement Workflow: BEFORE/DURING/AFTER/MISTAKE RECOVERY/MAINTENANCE
- SuperClaude/Core/RULES.md: Agent Orchestration section updated
- Split into Task Execution Layer + Self-Improvement Layer
- Added orchestration flow diagram
- Clarified PM Agent activates AFTER task completion
- README.md: Updated PM Agent description
- "orchestrates all interactions" → "ensures continuous learning"
- Docs/User-Guide/agents.md: PM Agent section rewritten
- Section: Orchestration Agent → Meta-Layer Agent
- Expertise: Project orchestration → Self-improvement workflow executor
- Examples: Task coordination → Post-implementation documentation
- PR_DOCUMENTATION.md: Comprehensive PR documentation added
- Summary, motivation, changes, testing, breaking changes
- Two-layer orchestration system diagram
- Verification checklist
Integration Validated:
Tested with agiletec project's self-improvement-workflow.md:
✅ PM Agent aligns with existing BEFORE/DURING/AFTER/MISTAKE RECOVERY phases
✅ Complements (not competes with) existing workflow
✅ agiletec workflow defines WHAT, PM Agent defines WHO executes it
Breaking Changes: None
- Existing auto-activation continues unchanged
- Specialist agents unaffected
- User workflows remain the same
- New capability: Automatic documentation and knowledge maintenance
Value Proposition:
Transforms SuperClaude into a continuously learning system that accumulates
knowledge, prevents recurring mistakes, and maintains fresh documentation
without manual intervention.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* docs: add Claude Code conversation history management research
Research covering .jsonl file structure, performance impact, and retention policies.
Content:
- Claude Code .jsonl file format and message types
- Performance issues from GitHub (memory leaks, conversation compaction)
- Retention policies (consumer vs enterprise)
- Rotation recommendations based on actual data
- File history snapshot tracking mechanics
Source: Moved from agiletec project (research applicable to all Claude Code projects)
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* feat: add Development documentation structure
Phase 1: Documentation Structure complete
- Add Docs/Development/ directory for development documentation
- Add ARCHITECTURE.md - System architecture with PM Agent meta-layer
- Add ROADMAP.md - 5-phase development plan with checkboxes
- Add TASKS.md - Daily task tracking with progress indicators
- Add PROJECT_STATUS.md - Current status dashboard and metrics
- Add pm-agent-integration.md - Implementation guide for PM Agent mode
This establishes comprehensive documentation foundation for:
- System architecture understanding
- Development planning and tracking
- Implementation guidance
- Progress visibility
Related: #pm-agent-mode #documentation #phase-1
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* feat: PM Agent session lifecycle and PDCA implementation
Phase 2: PM Agent Mode Integration (Design Phase)
Commands/pm.md updates:
- Add "Always-Active Foundation Layer" concept
- Add Session Lifecycle (Session Start/During Work/Session End)
- Add PDCA Cycle (Plan/Do/Check/Act) automation
- Add Serena MCP Memory Integration (list/read/write_memory)
- Document auto-activation triggers
Agents/pm-agent.md updates:
- Add Session Start Protocol (MANDATORY auto-activation)
- Add During Work PDCA Cycle with example workflows
- Add Session End Protocol with state preservation
- Add PDCA Self-Evaluation Pattern
- Add Documentation Strategy (temp → patterns/mistakes)
- Add Memory Operations Reference
Key Features:
- Session start auto-activation for context restoration
- 30-minute checkpoint saves during work
- Self-evaluation with think_about_* operations
- Systematic documentation lifecycle
- Knowledge evolution to CLAUDE.md
Implementation Status:
- ✅ Design complete (Commands/pm.md, Agents/pm-agent.md)
- ⏳ Implementation pending (Core components)
- ⏳ Serena MCP integration pending
Salvaged from mistaken development in ~/.claude directory
Related: #pm-agent-mode #session-lifecycle #pdca-cycle #phase-2
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* fix: disable Serena MCP auto-browser launch
Disable web dashboard and GUI log window auto-launch in Serena MCP server
to prevent intrusive browser popups on startup. Users can still manually
access the dashboard at http://localhost:24282/dashboard/ if needed.
Changes:
- Add CLI flags to Serena run command:
- --enable-web-dashboard false
- --enable-gui-log-window false
- Ensures Git-tracked configuration (no reliance on ~/.serena/serena_config.yml)
- Aligns with AIRIS MCP Gateway integration approach
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* refactor: rename directories to lowercase for PEP8 compliance
- Rename superclaude/Agents -> superclaude/agents
- Rename superclaude/Commands -> superclaude/commands
- Rename superclaude/Core -> superclaude/core
- Rename superclaude/Examples -> superclaude/examples
- Rename superclaude/MCP -> superclaude/mcp
- Rename superclaude/Modes -> superclaude/modes
This change follows Python PEP8 naming conventions for package directories.
* style: fix PEP8 violations and update package name to lowercase
Changes:
- Format all Python files with black (43 files reformatted)
- Update package name from 'SuperClaude' to 'superclaude' in pyproject.toml
- Fix import statements to use lowercase package name
- Add missing imports (timedelta, __version__)
- Remove old SuperClaude.egg-info directory
PEP8 violations reduced from 2672 to 701 (mostly E501 line length due to black's 88 char vs flake8's 79 char limit).
* docs: add PM Agent development documentation
Add comprehensive PM Agent development documentation:
- PM Agent ideal workflow (7-phase autonomous cycle)
- Project structure understanding (Git vs installed environment)
- Installation flow understanding (CommandsComponent behavior)
- Task management system (current-tasks.md)
Purpose: Eliminate repeated explanations and enable autonomous PDCA cycles
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* feat(pm-agent): add self-correcting execution and warning investigation culture
## Changes
### superclaude/commands/pm.md
- Add "Self-Correcting Execution" section with root cause analysis protocol
- Add "Warning/Error Investigation Culture" section enforcing zero-tolerance for dismissal
- Define error detection protocol: STOP → Investigate → Hypothesis → Different Solution → Execute
- Document anti-patterns (retry without understanding) and correct patterns (research-first)
### docs/Development/hypothesis-pm-autonomous-enhancement-2025-10-14.md
- Add PDCA workflow hypothesis document for PM Agent autonomous enhancement
## Rationale
PM Agent must never retry failed operations without understanding root causes.
All warnings and errors require investigation via context7/WebFetch/documentation
to ensure production-quality code and prevent technical debt accumulation.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* feat(installer): add airis-mcp-gateway MCP server option
## Changes
- Add airis-mcp-gateway to MCP server options in installer
- Configuration: GitHub-based installation via uvx
- Repository: https://github.com/oraios/airis-mcp-gateway
- Purpose: Dynamic MCP Gateway for zero-token baseline and on-demand tool loading
## Implementation
Added to setup/components/mcp.py self.mcp_servers dictionary with:
- install_method: github
- install_command: uvx test installation
- run_command: uvx runtime execution
- required: False (optional server)
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
---------
Co-authored-by: kazuki <kazuki@kazukinoMacBook-Air.local>
Co-authored-by: Claude <noreply@anthropic.com>
2025-10-14 12:17:09 +09:00
|
|
|
|
|
|
|
|
```yaml
|
|
|
|
|
Temporary Documentation (docs/temp/):
|
|
|
|
|
Purpose: Trial-and-error, experimentation, hypothesis testing
|
|
|
|
|
Characteristics:
|
|
|
|
|
- 試行錯誤 OK (trial and error welcome)
|
|
|
|
|
- Raw notes and observations
|
|
|
|
|
- Not polished or formal
|
|
|
|
|
- Temporary (moved or deleted after 7 days)
|
|
|
|
|
|
|
|
|
|
Formal Documentation (docs/patterns/):
|
|
|
|
|
Purpose: Successful patterns ready for reuse
|
|
|
|
|
Trigger: Successful implementation with verified results
|
|
|
|
|
Process:
|
|
|
|
|
- Read docs/temp/experiment-*.md
|
|
|
|
|
- Extract successful approach
|
|
|
|
|
- Clean up and formalize (清書)
|
|
|
|
|
- Add concrete examples
|
|
|
|
|
- Include "Last Verified" date
|
|
|
|
|
|
|
|
|
|
Mistake Documentation (docs/mistakes/):
|
|
|
|
|
Purpose: Error records with prevention strategies
|
|
|
|
|
Trigger: Mistake detected, root cause identified
|
|
|
|
|
Process:
|
|
|
|
|
- What Happened (現象)
|
|
|
|
|
- Root Cause (根本原因)
|
|
|
|
|
- Why Missed (なぜ見逃したか)
|
|
|
|
|
- Fix Applied (修正内容)
|
|
|
|
|
- Prevention Checklist (防止策)
|
|
|
|
|
- Lesson Learned (教訓)
|
|
|
|
|
|
|
|
|
|
Evolution Pattern:
|
|
|
|
|
Trial-and-Error (docs/temp/)
|
|
|
|
|
↓
|
|
|
|
|
Success → Formal Pattern (docs/patterns/)
|
|
|
|
|
Failure → Mistake Record (docs/mistakes/)
|
|
|
|
|
↓
|
|
|
|
|
Accumulate Knowledge
|
|
|
|
|
↓
|
|
|
|
|
Extract Best Practices → CLAUDE.md
|
|
|
|
|
```
|
|
|
|
|
|
2025-10-17 00:13:55 +09:00
|
|
|
## File Operations Reference
|
refactor: PEP8 compliance - directory rename and code formatting (#425)
* fix(orchestration): add WebFetch auto-trigger for infrastructure configuration
Problem: Infrastructure configuration changes (e.g., Traefik port settings)
were being made based on assumptions without consulting official documentation,
violating the 'Evidence > assumptions' principle in PRINCIPLES.md.
Solution:
- Added Infrastructure Configuration Validation section to MODE_Orchestration.md
- Auto-triggers WebFetch for infrastructure tools (Traefik, nginx, Docker, etc.)
- Enforces MODE_DeepResearch activation for investigation
- BLOCKS assumption-based configuration changes
Testing: Verified WebFetch successfully retrieves Traefik official docs (port 80 default)
This prevents production outages from infrastructure misconfiguration by ensuring
all technical recommendations are backed by official documentation.
* feat: Add PM Agent (Project Manager Agent) for seamless orchestration
Introduces PM Agent as the default orchestration layer that coordinates
all sub-agents and manages workflows automatically.
Key Features:
- Default orchestration: All user interactions handled by PM Agent
- Auto-delegation: Intelligent sub-agent selection based on task analysis
- Docker Gateway integration: Zero-token baseline with dynamic MCP loading
- Self-improvement loop: Automatic documentation of patterns and mistakes
- Optional override: Users can specify sub-agents explicitly if desired
Architecture:
- Agent spec: SuperClaude/Agents/pm-agent.md
- Command: SuperClaude/Commands/pm.md
- Updated docs: README.md (15→16 agents), agents.md (new Orchestration category)
User Experience:
- Default: PM Agent handles everything (seamless, no manual routing)
- Optional: Explicit --agent flag for direct sub-agent access
- Both modes available simultaneously (no user downside)
Implementation Status:
- ✅ Specification complete
- ✅ Documentation complete
- ⏳ Prototype implementation needed
- ⏳ Docker Gateway integration needed
- ⏳ Testing and validation needed
Refs: kazukinakai/docker-mcp-gateway (IRIS MCP Gateway integration)
* feat: Add Agent Orchestration rules for PM Agent default activation
Implements PM Agent as the default orchestration layer in RULES.md.
Key Changes:
- New 'Agent Orchestration' section (CRITICAL priority)
- PM Agent receives ALL user requests by default
- Manual override with @agent-[name] bypasses PM Agent
- Agent Selection Priority clearly defined:
1. Manual override → Direct routing
2. Default → PM Agent → Auto-delegation
3. Delegation based on keywords, file types, complexity, context
User Experience:
- Default: PM Agent handles everything (seamless)
- Override: @agent-[name] for direct specialist access
- Transparent: PM Agent reports delegation decisions
This establishes PM Agent as the orchestration layer while
respecting existing auto-activation patterns and manual overrides.
Next Steps:
- Local testing in agiletec project
- Iteration based on actual behavior
- Documentation updates as needed
* refactor(pm-agent): redesign as self-improvement meta-layer
Problem Resolution:
PM Agent's initial design competed with existing auto-activation for task routing,
creating confusion about orchestration responsibilities and adding unnecessary complexity.
Design Change:
Redefined PM Agent as a meta-layer agent that operates AFTER specialist agents
complete tasks, focusing on:
- Post-implementation documentation and pattern recording
- Immediate mistake analysis with prevention checklists
- Monthly documentation maintenance and noise reduction
- Pattern extraction and knowledge synthesis
Two-Layer Orchestration System:
1. Task Execution Layer: Existing auto-activation handles task routing (unchanged)
2. Self-Improvement Layer: PM Agent meta-layer handles documentation (new)
Files Modified:
- SuperClaude/Agents/pm-agent.md: Complete rewrite with meta-layer design
- Category: orchestration → meta
- Triggers: All user interactions → Post-implementation, mistakes, monthly
- Behavioral Mindset: Continuous learning system
- Self-Improvement Workflow: BEFORE/DURING/AFTER/MISTAKE RECOVERY/MAINTENANCE
- SuperClaude/Core/RULES.md: Agent Orchestration section updated
- Split into Task Execution Layer + Self-Improvement Layer
- Added orchestration flow diagram
- Clarified PM Agent activates AFTER task completion
- README.md: Updated PM Agent description
- "orchestrates all interactions" → "ensures continuous learning"
- Docs/User-Guide/agents.md: PM Agent section rewritten
- Section: Orchestration Agent → Meta-Layer Agent
- Expertise: Project orchestration → Self-improvement workflow executor
- Examples: Task coordination → Post-implementation documentation
- PR_DOCUMENTATION.md: Comprehensive PR documentation added
- Summary, motivation, changes, testing, breaking changes
- Two-layer orchestration system diagram
- Verification checklist
Integration Validated:
Tested with agiletec project's self-improvement-workflow.md:
✅ PM Agent aligns with existing BEFORE/DURING/AFTER/MISTAKE RECOVERY phases
✅ Complements (not competes with) existing workflow
✅ agiletec workflow defines WHAT, PM Agent defines WHO executes it
Breaking Changes: None
- Existing auto-activation continues unchanged
- Specialist agents unaffected
- User workflows remain the same
- New capability: Automatic documentation and knowledge maintenance
Value Proposition:
Transforms SuperClaude into a continuously learning system that accumulates
knowledge, prevents recurring mistakes, and maintains fresh documentation
without manual intervention.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* docs: add Claude Code conversation history management research
Research covering .jsonl file structure, performance impact, and retention policies.
Content:
- Claude Code .jsonl file format and message types
- Performance issues from GitHub (memory leaks, conversation compaction)
- Retention policies (consumer vs enterprise)
- Rotation recommendations based on actual data
- File history snapshot tracking mechanics
Source: Moved from agiletec project (research applicable to all Claude Code projects)
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* feat: add Development documentation structure
Phase 1: Documentation Structure complete
- Add Docs/Development/ directory for development documentation
- Add ARCHITECTURE.md - System architecture with PM Agent meta-layer
- Add ROADMAP.md - 5-phase development plan with checkboxes
- Add TASKS.md - Daily task tracking with progress indicators
- Add PROJECT_STATUS.md - Current status dashboard and metrics
- Add pm-agent-integration.md - Implementation guide for PM Agent mode
This establishes comprehensive documentation foundation for:
- System architecture understanding
- Development planning and tracking
- Implementation guidance
- Progress visibility
Related: #pm-agent-mode #documentation #phase-1
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* feat: PM Agent session lifecycle and PDCA implementation
Phase 2: PM Agent Mode Integration (Design Phase)
Commands/pm.md updates:
- Add "Always-Active Foundation Layer" concept
- Add Session Lifecycle (Session Start/During Work/Session End)
- Add PDCA Cycle (Plan/Do/Check/Act) automation
- Add Serena MCP Memory Integration (list/read/write_memory)
- Document auto-activation triggers
Agents/pm-agent.md updates:
- Add Session Start Protocol (MANDATORY auto-activation)
- Add During Work PDCA Cycle with example workflows
- Add Session End Protocol with state preservation
- Add PDCA Self-Evaluation Pattern
- Add Documentation Strategy (temp → patterns/mistakes)
- Add Memory Operations Reference
Key Features:
- Session start auto-activation for context restoration
- 30-minute checkpoint saves during work
- Self-evaluation with think_about_* operations
- Systematic documentation lifecycle
- Knowledge evolution to CLAUDE.md
Implementation Status:
- ✅ Design complete (Commands/pm.md, Agents/pm-agent.md)
- ⏳ Implementation pending (Core components)
- ⏳ Serena MCP integration pending
Salvaged from mistaken development in ~/.claude directory
Related: #pm-agent-mode #session-lifecycle #pdca-cycle #phase-2
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* fix: disable Serena MCP auto-browser launch
Disable web dashboard and GUI log window auto-launch in Serena MCP server
to prevent intrusive browser popups on startup. Users can still manually
access the dashboard at http://localhost:24282/dashboard/ if needed.
Changes:
- Add CLI flags to Serena run command:
- --enable-web-dashboard false
- --enable-gui-log-window false
- Ensures Git-tracked configuration (no reliance on ~/.serena/serena_config.yml)
- Aligns with AIRIS MCP Gateway integration approach
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* refactor: rename directories to lowercase for PEP8 compliance
- Rename superclaude/Agents -> superclaude/agents
- Rename superclaude/Commands -> superclaude/commands
- Rename superclaude/Core -> superclaude/core
- Rename superclaude/Examples -> superclaude/examples
- Rename superclaude/MCP -> superclaude/mcp
- Rename superclaude/Modes -> superclaude/modes
This change follows Python PEP8 naming conventions for package directories.
* style: fix PEP8 violations and update package name to lowercase
Changes:
- Format all Python files with black (43 files reformatted)
- Update package name from 'SuperClaude' to 'superclaude' in pyproject.toml
- Fix import statements to use lowercase package name
- Add missing imports (timedelta, __version__)
- Remove old SuperClaude.egg-info directory
PEP8 violations reduced from 2672 to 701 (mostly E501 line length due to black's 88 char vs flake8's 79 char limit).
* docs: add PM Agent development documentation
Add comprehensive PM Agent development documentation:
- PM Agent ideal workflow (7-phase autonomous cycle)
- Project structure understanding (Git vs installed environment)
- Installation flow understanding (CommandsComponent behavior)
- Task management system (current-tasks.md)
Purpose: Eliminate repeated explanations and enable autonomous PDCA cycles
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* feat(pm-agent): add self-correcting execution and warning investigation culture
## Changes
### superclaude/commands/pm.md
- Add "Self-Correcting Execution" section with root cause analysis protocol
- Add "Warning/Error Investigation Culture" section enforcing zero-tolerance for dismissal
- Define error detection protocol: STOP → Investigate → Hypothesis → Different Solution → Execute
- Document anti-patterns (retry without understanding) and correct patterns (research-first)
### docs/Development/hypothesis-pm-autonomous-enhancement-2025-10-14.md
- Add PDCA workflow hypothesis document for PM Agent autonomous enhancement
## Rationale
PM Agent must never retry failed operations without understanding root causes.
All warnings and errors require investigation via context7/WebFetch/documentation
to ensure production-quality code and prevent technical debt accumulation.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* feat(installer): add airis-mcp-gateway MCP server option
## Changes
- Add airis-mcp-gateway to MCP server options in installer
- Configuration: GitHub-based installation via uvx
- Repository: https://github.com/oraios/airis-mcp-gateway
- Purpose: Dynamic MCP Gateway for zero-token baseline and on-demand tool loading
## Implementation
Added to setup/components/mcp.py self.mcp_servers dictionary with:
- install_method: github
- install_command: uvx test installation
- run_command: uvx runtime execution
- required: False (optional server)
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
---------
Co-authored-by: kazuki <kazuki@kazukinoMacBook-Air.local>
Co-authored-by: Claude <noreply@anthropic.com>
2025-10-14 12:17:09 +09:00
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```yaml
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refactor: PM Agent complete independence from external MCP servers (#439)
* refactor: PM Agent complete independence from external MCP servers
## Summary
Implement graceful degradation to ensure PM Agent operates fully without
any MCP server dependencies. MCP servers now serve as optional enhancements
rather than required components.
## Changes
### Responsibility Separation (NEW)
- **PM Agent**: Development workflow orchestration (PDCA cycle, task management)
- **mindbase**: Memory management (long-term, freshness, error learning)
- **Built-in memory**: Session-internal context (volatile)
### 3-Layer Memory Architecture with Fallbacks
1. **Built-in Memory** [OPTIONAL]: Session context via MCP memory server
2. **mindbase** [OPTIONAL]: Long-term semantic search via airis-mcp-gateway
3. **Local Files** [ALWAYS]: Core functionality in docs/memory/
### Graceful Degradation Implementation
- All MCP operations marked with [ALWAYS] or [OPTIONAL]
- Explicit IF/ELSE fallback logic for every MCP call
- Dual storage: Always write to local files + optionally to mindbase
- Smart lookup: Semantic search (if available) → Text search (always works)
### Key Fallback Strategies
**Session Start**:
- mindbase available: search_conversations() for semantic context
- mindbase unavailable: Grep docs/memory/*.jsonl for text-based lookup
**Error Detection**:
- mindbase available: Semantic search for similar past errors
- mindbase unavailable: Grep docs/mistakes/ + solutions_learned.jsonl
**Knowledge Capture**:
- Always: echo >> docs/memory/patterns_learned.jsonl (persistent)
- Optional: mindbase.store() for semantic search enhancement
## Benefits
- ✅ Zero external dependencies (100% functionality without MCP)
- ✅ Enhanced capabilities when MCPs available (semantic search, freshness)
- ✅ No functionality loss, only reduced search intelligence
- ✅ Transparent degradation (no error messages, automatic fallback)
## Related Research
- Serena MCP investigation: Exposes tools (not resources), memory = markdown files
- mindbase superiority: PostgreSQL + pgvector > Serena memory features
- Best practices alignment: /Users/kazuki/github/airis-mcp-gateway/docs/mcp-best-practices.md
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* chore: add PR template and pre-commit config
- Add structured PR template with Git workflow checklist
- Add pre-commit hooks for secret detection and Conventional Commits
- Enforce code quality gates (YAML/JSON/Markdown lint, shellcheck)
NOTE: Execute pre-commit inside Docker container to avoid host pollution:
docker compose exec workspace uv tool install pre-commit
docker compose exec workspace pre-commit run --all-files
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* docs: update PM Agent context with token efficiency architecture
- Add Layer 0 Bootstrap (150 tokens, 95% reduction)
- Document Intent Classification System (5 complexity levels)
- Add Progressive Loading strategy (5-layer)
- Document mindbase integration incentive (38% savings)
- Update with 2025-10-17 redesign details
* refactor: PM Agent command with progressive loading
- Replace auto-loading with User Request First philosophy
- Add 5-layer progressive context loading
- Implement intent classification system
- Add workflow metrics collection (.jsonl)
- Document graceful degradation strategy
* fix: installer improvements
Update installer logic for better reliability
* docs: add comprehensive development documentation
- Add architecture overview
- Add PM Agent improvements analysis
- Add parallel execution architecture
- Add CLI install improvements
- Add code style guide
- Add project overview
- Add install process analysis
* docs: add research documentation
Add LLM agent token efficiency research and analysis
* docs: add suggested commands reference
* docs: add session logs and testing documentation
- Add session analysis logs
- Add testing documentation
* feat: migrate CLI to typer + rich for modern UX
## What Changed
### New CLI Architecture (typer + rich)
- Created `superclaude/cli/` module with modern typer-based CLI
- Replaced custom UI utilities with rich native features
- Added type-safe command structure with automatic validation
### Commands Implemented
- **install**: Interactive installation with rich UI (progress, panels)
- **doctor**: System diagnostics with rich table output
- **config**: API key management with format validation
### Technical Improvements
- Dependencies: Added typer>=0.9.0, rich>=13.0.0, click>=8.0.0
- Entry Point: Updated pyproject.toml to use `superclaude.cli.app:cli_main`
- Tests: Added comprehensive smoke tests (11 passed)
### User Experience Enhancements
- Rich formatted help messages with panels and tables
- Automatic input validation with retry loops
- Clear error messages with actionable suggestions
- Non-interactive mode support for CI/CD
## Testing
```bash
uv run superclaude --help # ✓ Works
uv run superclaude doctor # ✓ Rich table output
uv run superclaude config show # ✓ API key management
pytest tests/test_cli_smoke.py # ✓ 11 passed, 1 skipped
```
## Migration Path
- ✅ P0: Foundation complete (typer + rich + smoke tests)
- 🔜 P1: Pydantic validation models (next sprint)
- 🔜 P2: Enhanced error messages (next sprint)
- 🔜 P3: API key retry loops (next sprint)
## Performance Impact
- **Code Reduction**: Prepared for -300 lines (custom UI → rich)
- **Type Safety**: Automatic validation from type hints
- **Maintainability**: Framework primitives vs custom code
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* refactor: consolidate documentation directories
Merged claudedocs/ into docs/research/ for consistent documentation structure.
Changes:
- Moved all claudedocs/*.md files to docs/research/
- Updated all path references in documentation (EN/KR)
- Updated RULES.md and research.md command templates
- Removed claudedocs/ directory
- Removed ClaudeDocs/ from .gitignore
Benefits:
- Single source of truth for all research reports
- PEP8-compliant lowercase directory naming
- Clearer documentation organization
- Prevents future claudedocs/ directory creation
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* perf: reduce /sc:pm command output from 1652 to 15 lines
- Remove 1637 lines of documentation from command file
- Keep only minimal bootstrap message
- 99% token reduction on command execution
- Detailed specs remain in superclaude/agents/pm-agent.md
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* perf: split PM Agent into execution workflows and guide
- Reduce pm-agent.md from 735 to 429 lines (42% reduction)
- Move philosophy/examples to docs/agents/pm-agent-guide.md
- Execution workflows (PDCA, file ops) stay in pm-agent.md
- Guide (examples, quality standards) read once when needed
Token savings:
- Agent loading: ~6K → ~3.5K tokens (42% reduction)
- Total with pm.md: 71% overall reduction
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* refactor: consolidate PM Agent optimization and pending changes
PM Agent optimization (already committed separately):
- superclaude/commands/pm.md: 1652→14 lines
- superclaude/agents/pm-agent.md: 735→429 lines
- docs/agents/pm-agent-guide.md: new guide file
Other pending changes:
- setup: framework_docs, mcp, logger, remove ui.py
- superclaude: __main__, cli/app, cli/commands/install
- tests: test_ui updates
- scripts: workflow metrics analysis tools
- docs/memory: session state updates
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* refactor: simplify MCP installer to unified gateway with legacy mode
## Changes
### MCP Component (setup/components/mcp.py)
- Simplified to single airis-mcp-gateway by default
- Added legacy mode for individual official servers (sequential-thinking, context7, magic, playwright)
- Dynamic prerequisites based on mode:
- Default: uv + claude CLI only
- Legacy: node (18+) + npm + claude CLI
- Removed redundant server definitions
### CLI Integration
- Added --legacy flag to setup/cli/commands/install.py
- Added --legacy flag to superclaude/cli/commands/install.py
- Config passes legacy_mode to component installer
## Benefits
- ✅ Simpler: 1 gateway vs 9+ individual servers
- ✅ Lighter: No Node.js/npm required (default mode)
- ✅ Unified: All tools in one gateway (sequential-thinking, context7, magic, playwright, serena, morphllm, tavily, chrome-devtools, git, puppeteer)
- ✅ Flexible: --legacy flag for official servers if needed
## Usage
```bash
superclaude install # Default: airis-mcp-gateway (推奨)
superclaude install --legacy # Legacy: individual official servers
```
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* refactor: rename CoreComponent to FrameworkDocsComponent and add PM token tracking
## Changes
### Component Renaming (setup/components/)
- Renamed CoreComponent → FrameworkDocsComponent for clarity
- Updated all imports in __init__.py, agents.py, commands.py, mcp_docs.py, modes.py
- Better reflects the actual purpose (framework documentation files)
### PM Agent Enhancement (superclaude/commands/pm.md)
- Added token usage tracking instructions
- PM Agent now reports:
1. Current token usage from system warnings
2. Percentage used (e.g., "27% used" for 54K/200K)
3. Status zone: 🟢 <75% | 🟡 75-85% | 🔴 >85%
- Helps prevent token exhaustion during long sessions
### UI Utilities (setup/utils/ui.py)
- Added new UI utility module for installer
- Provides consistent user interface components
## Benefits
- ✅ Clearer component naming (FrameworkDocs vs Core)
- ✅ PM Agent token awareness for efficiency
- ✅ Better visual feedback with status zones
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* refactor(pm-agent): minimize output verbosity (471→284 lines, 40% reduction)
**Problem**: PM Agent generated excessive output with redundant explanations
- "System Status Report" with decorative formatting
- Repeated "Common Tasks" lists user already knows
- Verbose session start/end protocols
- Duplicate file operations documentation
**Solution**: Compress without losing functionality
- Session Start: Reduced to symbol-only status (🟢 branch | nM nD | token%)
- Session End: Compressed to essential actions only
- File Operations: Consolidated from 2 sections to 1 line reference
- Self-Improvement: 5 phases → 1 unified workflow
- Output Rules: Explicit constraints to prevent Claude over-explanation
**Quality Preservation**:
- ✅ All core functions retained (PDCA, memory, patterns, mistakes)
- ✅ PARALLEL Read/Write preserved (performance critical)
- ✅ Workflow unchanged (session lifecycle intact)
- ✅ Added output constraints (prevents verbose generation)
**Reduction Method**:
- Deleted: Explanatory text, examples, redundant sections
- Retained: Action definitions, file paths, core workflows
- Added: Explicit output constraints to enforce minimalism
**Token Impact**: 40% reduction in agent documentation size
**Before**: Verbose multi-section report with task lists
**After**: Single line status: 🟢 integration | 15M 17D | 36%
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* refactor: consolidate MCP integration to unified gateway
**Changes**:
- Remove individual MCP server docs (superclaude/mcp/*.md)
- Remove MCP server configs (superclaude/mcp/configs/*.json)
- Delete MCP docs component (setup/components/mcp_docs.py)
- Simplify installer (setup/core/installer.py)
- Update components for unified gateway approach
**Rationale**:
- Unified gateway (airis-mcp-gateway) provides all MCP servers
- Individual docs/configs no longer needed (managed centrally)
- Reduces maintenance burden and file count
- Simplifies installation process
**Files Removed**: 17 MCP files (docs + configs)
**Installer Changes**: Removed legacy MCP installation logic
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* chore: update version and component metadata
- Bump version (pyproject.toml, setup/__init__.py)
- Update CLAUDE.md import service references
- Reflect component structure changes
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
---------
Co-authored-by: kazuki <kazuki@kazukinoMacBook-Air.local>
Co-authored-by: Claude <noreply@anthropic.com>
2025-10-17 09:13:06 +09:00
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Session Start: PARALLEL Read docs/memory/{pm_context,last_session,next_actions,current_plan}.{md,json}
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During Work: Write docs/memory/checkpoint.json every 30min
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Session End: PARALLEL Write docs/memory/{last_session,next_actions,pm_context}.md + session_summary.json
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Monthly: find docs/pdca -mtime +30 -delete
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refactor: PEP8 compliance - directory rename and code formatting (#425)
* fix(orchestration): add WebFetch auto-trigger for infrastructure configuration
Problem: Infrastructure configuration changes (e.g., Traefik port settings)
were being made based on assumptions without consulting official documentation,
violating the 'Evidence > assumptions' principle in PRINCIPLES.md.
Solution:
- Added Infrastructure Configuration Validation section to MODE_Orchestration.md
- Auto-triggers WebFetch for infrastructure tools (Traefik, nginx, Docker, etc.)
- Enforces MODE_DeepResearch activation for investigation
- BLOCKS assumption-based configuration changes
Testing: Verified WebFetch successfully retrieves Traefik official docs (port 80 default)
This prevents production outages from infrastructure misconfiguration by ensuring
all technical recommendations are backed by official documentation.
* feat: Add PM Agent (Project Manager Agent) for seamless orchestration
Introduces PM Agent as the default orchestration layer that coordinates
all sub-agents and manages workflows automatically.
Key Features:
- Default orchestration: All user interactions handled by PM Agent
- Auto-delegation: Intelligent sub-agent selection based on task analysis
- Docker Gateway integration: Zero-token baseline with dynamic MCP loading
- Self-improvement loop: Automatic documentation of patterns and mistakes
- Optional override: Users can specify sub-agents explicitly if desired
Architecture:
- Agent spec: SuperClaude/Agents/pm-agent.md
- Command: SuperClaude/Commands/pm.md
- Updated docs: README.md (15→16 agents), agents.md (new Orchestration category)
User Experience:
- Default: PM Agent handles everything (seamless, no manual routing)
- Optional: Explicit --agent flag for direct sub-agent access
- Both modes available simultaneously (no user downside)
Implementation Status:
- ✅ Specification complete
- ✅ Documentation complete
- ⏳ Prototype implementation needed
- ⏳ Docker Gateway integration needed
- ⏳ Testing and validation needed
Refs: kazukinakai/docker-mcp-gateway (IRIS MCP Gateway integration)
* feat: Add Agent Orchestration rules for PM Agent default activation
Implements PM Agent as the default orchestration layer in RULES.md.
Key Changes:
- New 'Agent Orchestration' section (CRITICAL priority)
- PM Agent receives ALL user requests by default
- Manual override with @agent-[name] bypasses PM Agent
- Agent Selection Priority clearly defined:
1. Manual override → Direct routing
2. Default → PM Agent → Auto-delegation
3. Delegation based on keywords, file types, complexity, context
User Experience:
- Default: PM Agent handles everything (seamless)
- Override: @agent-[name] for direct specialist access
- Transparent: PM Agent reports delegation decisions
This establishes PM Agent as the orchestration layer while
respecting existing auto-activation patterns and manual overrides.
Next Steps:
- Local testing in agiletec project
- Iteration based on actual behavior
- Documentation updates as needed
* refactor(pm-agent): redesign as self-improvement meta-layer
Problem Resolution:
PM Agent's initial design competed with existing auto-activation for task routing,
creating confusion about orchestration responsibilities and adding unnecessary complexity.
Design Change:
Redefined PM Agent as a meta-layer agent that operates AFTER specialist agents
complete tasks, focusing on:
- Post-implementation documentation and pattern recording
- Immediate mistake analysis with prevention checklists
- Monthly documentation maintenance and noise reduction
- Pattern extraction and knowledge synthesis
Two-Layer Orchestration System:
1. Task Execution Layer: Existing auto-activation handles task routing (unchanged)
2. Self-Improvement Layer: PM Agent meta-layer handles documentation (new)
Files Modified:
- SuperClaude/Agents/pm-agent.md: Complete rewrite with meta-layer design
- Category: orchestration → meta
- Triggers: All user interactions → Post-implementation, mistakes, monthly
- Behavioral Mindset: Continuous learning system
- Self-Improvement Workflow: BEFORE/DURING/AFTER/MISTAKE RECOVERY/MAINTENANCE
- SuperClaude/Core/RULES.md: Agent Orchestration section updated
- Split into Task Execution Layer + Self-Improvement Layer
- Added orchestration flow diagram
- Clarified PM Agent activates AFTER task completion
- README.md: Updated PM Agent description
- "orchestrates all interactions" → "ensures continuous learning"
- Docs/User-Guide/agents.md: PM Agent section rewritten
- Section: Orchestration Agent → Meta-Layer Agent
- Expertise: Project orchestration → Self-improvement workflow executor
- Examples: Task coordination → Post-implementation documentation
- PR_DOCUMENTATION.md: Comprehensive PR documentation added
- Summary, motivation, changes, testing, breaking changes
- Two-layer orchestration system diagram
- Verification checklist
Integration Validated:
Tested with agiletec project's self-improvement-workflow.md:
✅ PM Agent aligns with existing BEFORE/DURING/AFTER/MISTAKE RECOVERY phases
✅ Complements (not competes with) existing workflow
✅ agiletec workflow defines WHAT, PM Agent defines WHO executes it
Breaking Changes: None
- Existing auto-activation continues unchanged
- Specialist agents unaffected
- User workflows remain the same
- New capability: Automatic documentation and knowledge maintenance
Value Proposition:
Transforms SuperClaude into a continuously learning system that accumulates
knowledge, prevents recurring mistakes, and maintains fresh documentation
without manual intervention.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* docs: add Claude Code conversation history management research
Research covering .jsonl file structure, performance impact, and retention policies.
Content:
- Claude Code .jsonl file format and message types
- Performance issues from GitHub (memory leaks, conversation compaction)
- Retention policies (consumer vs enterprise)
- Rotation recommendations based on actual data
- File history snapshot tracking mechanics
Source: Moved from agiletec project (research applicable to all Claude Code projects)
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* feat: add Development documentation structure
Phase 1: Documentation Structure complete
- Add Docs/Development/ directory for development documentation
- Add ARCHITECTURE.md - System architecture with PM Agent meta-layer
- Add ROADMAP.md - 5-phase development plan with checkboxes
- Add TASKS.md - Daily task tracking with progress indicators
- Add PROJECT_STATUS.md - Current status dashboard and metrics
- Add pm-agent-integration.md - Implementation guide for PM Agent mode
This establishes comprehensive documentation foundation for:
- System architecture understanding
- Development planning and tracking
- Implementation guidance
- Progress visibility
Related: #pm-agent-mode #documentation #phase-1
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* feat: PM Agent session lifecycle and PDCA implementation
Phase 2: PM Agent Mode Integration (Design Phase)
Commands/pm.md updates:
- Add "Always-Active Foundation Layer" concept
- Add Session Lifecycle (Session Start/During Work/Session End)
- Add PDCA Cycle (Plan/Do/Check/Act) automation
- Add Serena MCP Memory Integration (list/read/write_memory)
- Document auto-activation triggers
Agents/pm-agent.md updates:
- Add Session Start Protocol (MANDATORY auto-activation)
- Add During Work PDCA Cycle with example workflows
- Add Session End Protocol with state preservation
- Add PDCA Self-Evaluation Pattern
- Add Documentation Strategy (temp → patterns/mistakes)
- Add Memory Operations Reference
Key Features:
- Session start auto-activation for context restoration
- 30-minute checkpoint saves during work
- Self-evaluation with think_about_* operations
- Systematic documentation lifecycle
- Knowledge evolution to CLAUDE.md
Implementation Status:
- ✅ Design complete (Commands/pm.md, Agents/pm-agent.md)
- ⏳ Implementation pending (Core components)
- ⏳ Serena MCP integration pending
Salvaged from mistaken development in ~/.claude directory
Related: #pm-agent-mode #session-lifecycle #pdca-cycle #phase-2
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* fix: disable Serena MCP auto-browser launch
Disable web dashboard and GUI log window auto-launch in Serena MCP server
to prevent intrusive browser popups on startup. Users can still manually
access the dashboard at http://localhost:24282/dashboard/ if needed.
Changes:
- Add CLI flags to Serena run command:
- --enable-web-dashboard false
- --enable-gui-log-window false
- Ensures Git-tracked configuration (no reliance on ~/.serena/serena_config.yml)
- Aligns with AIRIS MCP Gateway integration approach
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* refactor: rename directories to lowercase for PEP8 compliance
- Rename superclaude/Agents -> superclaude/agents
- Rename superclaude/Commands -> superclaude/commands
- Rename superclaude/Core -> superclaude/core
- Rename superclaude/Examples -> superclaude/examples
- Rename superclaude/MCP -> superclaude/mcp
- Rename superclaude/Modes -> superclaude/modes
This change follows Python PEP8 naming conventions for package directories.
* style: fix PEP8 violations and update package name to lowercase
Changes:
- Format all Python files with black (43 files reformatted)
- Update package name from 'SuperClaude' to 'superclaude' in pyproject.toml
- Fix import statements to use lowercase package name
- Add missing imports (timedelta, __version__)
- Remove old SuperClaude.egg-info directory
PEP8 violations reduced from 2672 to 701 (mostly E501 line length due to black's 88 char vs flake8's 79 char limit).
* docs: add PM Agent development documentation
Add comprehensive PM Agent development documentation:
- PM Agent ideal workflow (7-phase autonomous cycle)
- Project structure understanding (Git vs installed environment)
- Installation flow understanding (CommandsComponent behavior)
- Task management system (current-tasks.md)
Purpose: Eliminate repeated explanations and enable autonomous PDCA cycles
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* feat(pm-agent): add self-correcting execution and warning investigation culture
## Changes
### superclaude/commands/pm.md
- Add "Self-Correcting Execution" section with root cause analysis protocol
- Add "Warning/Error Investigation Culture" section enforcing zero-tolerance for dismissal
- Define error detection protocol: STOP → Investigate → Hypothesis → Different Solution → Execute
- Document anti-patterns (retry without understanding) and correct patterns (research-first)
### docs/Development/hypothesis-pm-autonomous-enhancement-2025-10-14.md
- Add PDCA workflow hypothesis document for PM Agent autonomous enhancement
## Rationale
PM Agent must never retry failed operations without understanding root causes.
All warnings and errors require investigation via context7/WebFetch/documentation
to ensure production-quality code and prevent technical debt accumulation.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* feat(installer): add airis-mcp-gateway MCP server option
## Changes
- Add airis-mcp-gateway to MCP server options in installer
- Configuration: GitHub-based installation via uvx
- Repository: https://github.com/oraios/airis-mcp-gateway
- Purpose: Dynamic MCP Gateway for zero-token baseline and on-demand tool loading
## Implementation
Added to setup/components/mcp.py self.mcp_servers dictionary with:
- install_method: github
- install_command: uvx test installation
- run_command: uvx runtime execution
- required: False (optional server)
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
---------
Co-authored-by: kazuki <kazuki@kazukinoMacBook-Air.local>
Co-authored-by: Claude <noreply@anthropic.com>
2025-10-14 12:17:09 +09:00
|
|
|
```
|
|
|
|
|
|
Redesign PM Agent as Self-Improvement Meta-Layer (#421)
* feat: Add PM Agent (Project Manager Agent) for seamless orchestration
Introduces PM Agent as the default orchestration layer that coordinates
all sub-agents and manages workflows automatically.
Key Features:
- Default orchestration: All user interactions handled by PM Agent
- Auto-delegation: Intelligent sub-agent selection based on task analysis
- Docker Gateway integration: Zero-token baseline with dynamic MCP loading
- Self-improvement loop: Automatic documentation of patterns and mistakes
- Optional override: Users can specify sub-agents explicitly if desired
Architecture:
- Agent spec: SuperClaude/Agents/pm-agent.md
- Command: SuperClaude/Commands/pm.md
- Updated docs: README.md (15→16 agents), agents.md (new Orchestration category)
User Experience:
- Default: PM Agent handles everything (seamless, no manual routing)
- Optional: Explicit --agent flag for direct sub-agent access
- Both modes available simultaneously (no user downside)
Implementation Status:
- ✅ Specification complete
- ✅ Documentation complete
- ⏳ Prototype implementation needed
- ⏳ Docker Gateway integration needed
- ⏳ Testing and validation needed
Refs: kazukinakai/docker-mcp-gateway (IRIS MCP Gateway integration)
* feat: Add Agent Orchestration rules for PM Agent default activation
Implements PM Agent as the default orchestration layer in RULES.md.
Key Changes:
- New 'Agent Orchestration' section (CRITICAL priority)
- PM Agent receives ALL user requests by default
- Manual override with @agent-[name] bypasses PM Agent
- Agent Selection Priority clearly defined:
1. Manual override → Direct routing
2. Default → PM Agent → Auto-delegation
3. Delegation based on keywords, file types, complexity, context
User Experience:
- Default: PM Agent handles everything (seamless)
- Override: @agent-[name] for direct specialist access
- Transparent: PM Agent reports delegation decisions
This establishes PM Agent as the orchestration layer while
respecting existing auto-activation patterns and manual overrides.
Next Steps:
- Local testing in agiletec project
- Iteration based on actual behavior
- Documentation updates as needed
* refactor(pm-agent): redesign as self-improvement meta-layer
Problem Resolution:
PM Agent's initial design competed with existing auto-activation for task routing,
creating confusion about orchestration responsibilities and adding unnecessary complexity.
Design Change:
Redefined PM Agent as a meta-layer agent that operates AFTER specialist agents
complete tasks, focusing on:
- Post-implementation documentation and pattern recording
- Immediate mistake analysis with prevention checklists
- Monthly documentation maintenance and noise reduction
- Pattern extraction and knowledge synthesis
Two-Layer Orchestration System:
1. Task Execution Layer: Existing auto-activation handles task routing (unchanged)
2. Self-Improvement Layer: PM Agent meta-layer handles documentation (new)
Files Modified:
- SuperClaude/Agents/pm-agent.md: Complete rewrite with meta-layer design
- Category: orchestration → meta
- Triggers: All user interactions → Post-implementation, mistakes, monthly
- Behavioral Mindset: Continuous learning system
- Self-Improvement Workflow: BEFORE/DURING/AFTER/MISTAKE RECOVERY/MAINTENANCE
- SuperClaude/Core/RULES.md: Agent Orchestration section updated
- Split into Task Execution Layer + Self-Improvement Layer
- Added orchestration flow diagram
- Clarified PM Agent activates AFTER task completion
- README.md: Updated PM Agent description
- "orchestrates all interactions" → "ensures continuous learning"
- Docs/User-Guide/agents.md: PM Agent section rewritten
- Section: Orchestration Agent → Meta-Layer Agent
- Expertise: Project orchestration → Self-improvement workflow executor
- Examples: Task coordination → Post-implementation documentation
- PR_DOCUMENTATION.md: Comprehensive PR documentation added
- Summary, motivation, changes, testing, breaking changes
- Two-layer orchestration system diagram
- Verification checklist
Integration Validated:
Tested with agiletec project's self-improvement-workflow.md:
✅ PM Agent aligns with existing BEFORE/DURING/AFTER/MISTAKE RECOVERY phases
✅ Complements (not competes with) existing workflow
✅ agiletec workflow defines WHAT, PM Agent defines WHO executes it
Breaking Changes: None
- Existing auto-activation continues unchanged
- Specialist agents unaffected
- User workflows remain the same
- New capability: Automatic documentation and knowledge maintenance
Value Proposition:
Transforms SuperClaude into a continuously learning system that accumulates
knowledge, prevents recurring mistakes, and maintains fresh documentation
without manual intervention.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
---------
Co-authored-by: kazuki <kazuki@kazukinoMacBook-Air.local>
Co-authored-by: Claude <noreply@anthropic.com>
2025-10-12 17:52:10 +09:00
|
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## Key Actions
|
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### 1. Post-Implementation Recording
|
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|
```yaml
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After Task Completion:
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Immediate Actions:
|
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- Identify new patterns or decisions made
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- Document in appropriate docs/*.md file
|
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- Update CLAUDE.md if global pattern
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- Record edge cases discovered
|
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- Note integration points and dependencies
|
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```
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### 2. Immediate Mistake Documentation
|
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|
```yaml
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When Mistake Detected:
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Stop Immediately:
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- Halt further implementation
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- Analyze root cause systematically
|
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- Identify why mistake occurred
|
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Document Structure:
|
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- What Happened: Specific phenomenon
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- Root Cause: Fundamental reason
|
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- Why Missed: What checks were skipped
|
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- Fix Applied: Concrete solution
|
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- Prevention Checklist: Steps to prevent recurrence
|
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- Lesson Learned: Key takeaway
|
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```
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### 3. Pattern Extraction
|
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```yaml
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Pattern Recognition Process:
|
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Identify Patterns:
|
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- Recurring successful approaches
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- Common mistake patterns
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- Architecture patterns that work
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Codify as Knowledge:
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- Extract to reusable form
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- Add to pattern library
|
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- Update CLAUDE.md with best practices
|
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- Create examples and templates
|
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```
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### 4. Monthly Documentation Pruning
|
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|
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|
```yaml
|
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Monthly Maintenance Tasks:
|
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Review:
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- Documentation older than 6 months
|
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- Files with no recent references
|
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- Duplicate or overlapping content
|
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Actions:
|
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- Delete unused documentation
|
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- Merge duplicate content
|
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- Update version numbers and dates
|
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- Fix broken links
|
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- Reduce verbosity and noise
|
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```
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### 5. Knowledge Base Evolution
|
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|
|
```yaml
|
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Continuous Evolution:
|
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CLAUDE.md Updates:
|
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- Add new global patterns
|
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- Update anti-patterns section
|
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- Refine existing rules based on learnings
|
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Project docs/ Updates:
|
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|
- Create new pattern documents
|
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- Update existing docs with refinements
|
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- Add concrete examples from implementations
|
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Quality Standards:
|
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- Latest (Last Verified dates)
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- Minimal (necessary information only)
|
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- Clear (concrete examples included)
|
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- Practical (copy-paste ready)
|
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```
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refactor: PM Agent complete independence from external MCP servers (#439)
* refactor: PM Agent complete independence from external MCP servers
## Summary
Implement graceful degradation to ensure PM Agent operates fully without
any MCP server dependencies. MCP servers now serve as optional enhancements
rather than required components.
## Changes
### Responsibility Separation (NEW)
- **PM Agent**: Development workflow orchestration (PDCA cycle, task management)
- **mindbase**: Memory management (long-term, freshness, error learning)
- **Built-in memory**: Session-internal context (volatile)
### 3-Layer Memory Architecture with Fallbacks
1. **Built-in Memory** [OPTIONAL]: Session context via MCP memory server
2. **mindbase** [OPTIONAL]: Long-term semantic search via airis-mcp-gateway
3. **Local Files** [ALWAYS]: Core functionality in docs/memory/
### Graceful Degradation Implementation
- All MCP operations marked with [ALWAYS] or [OPTIONAL]
- Explicit IF/ELSE fallback logic for every MCP call
- Dual storage: Always write to local files + optionally to mindbase
- Smart lookup: Semantic search (if available) → Text search (always works)
### Key Fallback Strategies
**Session Start**:
- mindbase available: search_conversations() for semantic context
- mindbase unavailable: Grep docs/memory/*.jsonl for text-based lookup
**Error Detection**:
- mindbase available: Semantic search for similar past errors
- mindbase unavailable: Grep docs/mistakes/ + solutions_learned.jsonl
**Knowledge Capture**:
- Always: echo >> docs/memory/patterns_learned.jsonl (persistent)
- Optional: mindbase.store() for semantic search enhancement
## Benefits
- ✅ Zero external dependencies (100% functionality without MCP)
- ✅ Enhanced capabilities when MCPs available (semantic search, freshness)
- ✅ No functionality loss, only reduced search intelligence
- ✅ Transparent degradation (no error messages, automatic fallback)
## Related Research
- Serena MCP investigation: Exposes tools (not resources), memory = markdown files
- mindbase superiority: PostgreSQL + pgvector > Serena memory features
- Best practices alignment: /Users/kazuki/github/airis-mcp-gateway/docs/mcp-best-practices.md
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* chore: add PR template and pre-commit config
- Add structured PR template with Git workflow checklist
- Add pre-commit hooks for secret detection and Conventional Commits
- Enforce code quality gates (YAML/JSON/Markdown lint, shellcheck)
NOTE: Execute pre-commit inside Docker container to avoid host pollution:
docker compose exec workspace uv tool install pre-commit
docker compose exec workspace pre-commit run --all-files
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* docs: update PM Agent context with token efficiency architecture
- Add Layer 0 Bootstrap (150 tokens, 95% reduction)
- Document Intent Classification System (5 complexity levels)
- Add Progressive Loading strategy (5-layer)
- Document mindbase integration incentive (38% savings)
- Update with 2025-10-17 redesign details
* refactor: PM Agent command with progressive loading
- Replace auto-loading with User Request First philosophy
- Add 5-layer progressive context loading
- Implement intent classification system
- Add workflow metrics collection (.jsonl)
- Document graceful degradation strategy
* fix: installer improvements
Update installer logic for better reliability
* docs: add comprehensive development documentation
- Add architecture overview
- Add PM Agent improvements analysis
- Add parallel execution architecture
- Add CLI install improvements
- Add code style guide
- Add project overview
- Add install process analysis
* docs: add research documentation
Add LLM agent token efficiency research and analysis
* docs: add suggested commands reference
* docs: add session logs and testing documentation
- Add session analysis logs
- Add testing documentation
* feat: migrate CLI to typer + rich for modern UX
## What Changed
### New CLI Architecture (typer + rich)
- Created `superclaude/cli/` module with modern typer-based CLI
- Replaced custom UI utilities with rich native features
- Added type-safe command structure with automatic validation
### Commands Implemented
- **install**: Interactive installation with rich UI (progress, panels)
- **doctor**: System diagnostics with rich table output
- **config**: API key management with format validation
### Technical Improvements
- Dependencies: Added typer>=0.9.0, rich>=13.0.0, click>=8.0.0
- Entry Point: Updated pyproject.toml to use `superclaude.cli.app:cli_main`
- Tests: Added comprehensive smoke tests (11 passed)
### User Experience Enhancements
- Rich formatted help messages with panels and tables
- Automatic input validation with retry loops
- Clear error messages with actionable suggestions
- Non-interactive mode support for CI/CD
## Testing
```bash
uv run superclaude --help # ✓ Works
uv run superclaude doctor # ✓ Rich table output
uv run superclaude config show # ✓ API key management
pytest tests/test_cli_smoke.py # ✓ 11 passed, 1 skipped
```
## Migration Path
- ✅ P0: Foundation complete (typer + rich + smoke tests)
- 🔜 P1: Pydantic validation models (next sprint)
- 🔜 P2: Enhanced error messages (next sprint)
- 🔜 P3: API key retry loops (next sprint)
## Performance Impact
- **Code Reduction**: Prepared for -300 lines (custom UI → rich)
- **Type Safety**: Automatic validation from type hints
- **Maintainability**: Framework primitives vs custom code
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* refactor: consolidate documentation directories
Merged claudedocs/ into docs/research/ for consistent documentation structure.
Changes:
- Moved all claudedocs/*.md files to docs/research/
- Updated all path references in documentation (EN/KR)
- Updated RULES.md and research.md command templates
- Removed claudedocs/ directory
- Removed ClaudeDocs/ from .gitignore
Benefits:
- Single source of truth for all research reports
- PEP8-compliant lowercase directory naming
- Clearer documentation organization
- Prevents future claudedocs/ directory creation
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* perf: reduce /sc:pm command output from 1652 to 15 lines
- Remove 1637 lines of documentation from command file
- Keep only minimal bootstrap message
- 99% token reduction on command execution
- Detailed specs remain in superclaude/agents/pm-agent.md
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* perf: split PM Agent into execution workflows and guide
- Reduce pm-agent.md from 735 to 429 lines (42% reduction)
- Move philosophy/examples to docs/agents/pm-agent-guide.md
- Execution workflows (PDCA, file ops) stay in pm-agent.md
- Guide (examples, quality standards) read once when needed
Token savings:
- Agent loading: ~6K → ~3.5K tokens (42% reduction)
- Total with pm.md: 71% overall reduction
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* refactor: consolidate PM Agent optimization and pending changes
PM Agent optimization (already committed separately):
- superclaude/commands/pm.md: 1652→14 lines
- superclaude/agents/pm-agent.md: 735→429 lines
- docs/agents/pm-agent-guide.md: new guide file
Other pending changes:
- setup: framework_docs, mcp, logger, remove ui.py
- superclaude: __main__, cli/app, cli/commands/install
- tests: test_ui updates
- scripts: workflow metrics analysis tools
- docs/memory: session state updates
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* refactor: simplify MCP installer to unified gateway with legacy mode
## Changes
### MCP Component (setup/components/mcp.py)
- Simplified to single airis-mcp-gateway by default
- Added legacy mode for individual official servers (sequential-thinking, context7, magic, playwright)
- Dynamic prerequisites based on mode:
- Default: uv + claude CLI only
- Legacy: node (18+) + npm + claude CLI
- Removed redundant server definitions
### CLI Integration
- Added --legacy flag to setup/cli/commands/install.py
- Added --legacy flag to superclaude/cli/commands/install.py
- Config passes legacy_mode to component installer
## Benefits
- ✅ Simpler: 1 gateway vs 9+ individual servers
- ✅ Lighter: No Node.js/npm required (default mode)
- ✅ Unified: All tools in one gateway (sequential-thinking, context7, magic, playwright, serena, morphllm, tavily, chrome-devtools, git, puppeteer)
- ✅ Flexible: --legacy flag for official servers if needed
## Usage
```bash
superclaude install # Default: airis-mcp-gateway (推奨)
superclaude install --legacy # Legacy: individual official servers
```
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* refactor: rename CoreComponent to FrameworkDocsComponent and add PM token tracking
## Changes
### Component Renaming (setup/components/)
- Renamed CoreComponent → FrameworkDocsComponent for clarity
- Updated all imports in __init__.py, agents.py, commands.py, mcp_docs.py, modes.py
- Better reflects the actual purpose (framework documentation files)
### PM Agent Enhancement (superclaude/commands/pm.md)
- Added token usage tracking instructions
- PM Agent now reports:
1. Current token usage from system warnings
2. Percentage used (e.g., "27% used" for 54K/200K)
3. Status zone: 🟢 <75% | 🟡 75-85% | 🔴 >85%
- Helps prevent token exhaustion during long sessions
### UI Utilities (setup/utils/ui.py)
- Added new UI utility module for installer
- Provides consistent user interface components
## Benefits
- ✅ Clearer component naming (FrameworkDocs vs Core)
- ✅ PM Agent token awareness for efficiency
- ✅ Better visual feedback with status zones
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* refactor(pm-agent): minimize output verbosity (471→284 lines, 40% reduction)
**Problem**: PM Agent generated excessive output with redundant explanations
- "System Status Report" with decorative formatting
- Repeated "Common Tasks" lists user already knows
- Verbose session start/end protocols
- Duplicate file operations documentation
**Solution**: Compress without losing functionality
- Session Start: Reduced to symbol-only status (🟢 branch | nM nD | token%)
- Session End: Compressed to essential actions only
- File Operations: Consolidated from 2 sections to 1 line reference
- Self-Improvement: 5 phases → 1 unified workflow
- Output Rules: Explicit constraints to prevent Claude over-explanation
**Quality Preservation**:
- ✅ All core functions retained (PDCA, memory, patterns, mistakes)
- ✅ PARALLEL Read/Write preserved (performance critical)
- ✅ Workflow unchanged (session lifecycle intact)
- ✅ Added output constraints (prevents verbose generation)
**Reduction Method**:
- Deleted: Explanatory text, examples, redundant sections
- Retained: Action definitions, file paths, core workflows
- Added: Explicit output constraints to enforce minimalism
**Token Impact**: 40% reduction in agent documentation size
**Before**: Verbose multi-section report with task lists
**After**: Single line status: 🟢 integration | 15M 17D | 36%
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* refactor: consolidate MCP integration to unified gateway
**Changes**:
- Remove individual MCP server docs (superclaude/mcp/*.md)
- Remove MCP server configs (superclaude/mcp/configs/*.json)
- Delete MCP docs component (setup/components/mcp_docs.py)
- Simplify installer (setup/core/installer.py)
- Update components for unified gateway approach
**Rationale**:
- Unified gateway (airis-mcp-gateway) provides all MCP servers
- Individual docs/configs no longer needed (managed centrally)
- Reduces maintenance burden and file count
- Simplifies installation process
**Files Removed**: 17 MCP files (docs + configs)
**Installer Changes**: Removed legacy MCP installation logic
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* chore: update version and component metadata
- Bump version (pyproject.toml, setup/__init__.py)
- Update CLAUDE.md import service references
- Reflect component structure changes
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
---------
Co-authored-by: kazuki <kazuki@kazukinoMacBook-Air.local>
Co-authored-by: Claude <noreply@anthropic.com>
2025-10-17 09:13:06 +09:00
|
|
|
## Self-Improvement Workflow
|
Redesign PM Agent as Self-Improvement Meta-Layer (#421)
* feat: Add PM Agent (Project Manager Agent) for seamless orchestration
Introduces PM Agent as the default orchestration layer that coordinates
all sub-agents and manages workflows automatically.
Key Features:
- Default orchestration: All user interactions handled by PM Agent
- Auto-delegation: Intelligent sub-agent selection based on task analysis
- Docker Gateway integration: Zero-token baseline with dynamic MCP loading
- Self-improvement loop: Automatic documentation of patterns and mistakes
- Optional override: Users can specify sub-agents explicitly if desired
Architecture:
- Agent spec: SuperClaude/Agents/pm-agent.md
- Command: SuperClaude/Commands/pm.md
- Updated docs: README.md (15→16 agents), agents.md (new Orchestration category)
User Experience:
- Default: PM Agent handles everything (seamless, no manual routing)
- Optional: Explicit --agent flag for direct sub-agent access
- Both modes available simultaneously (no user downside)
Implementation Status:
- ✅ Specification complete
- ✅ Documentation complete
- ⏳ Prototype implementation needed
- ⏳ Docker Gateway integration needed
- ⏳ Testing and validation needed
Refs: kazukinakai/docker-mcp-gateway (IRIS MCP Gateway integration)
* feat: Add Agent Orchestration rules for PM Agent default activation
Implements PM Agent as the default orchestration layer in RULES.md.
Key Changes:
- New 'Agent Orchestration' section (CRITICAL priority)
- PM Agent receives ALL user requests by default
- Manual override with @agent-[name] bypasses PM Agent
- Agent Selection Priority clearly defined:
1. Manual override → Direct routing
2. Default → PM Agent → Auto-delegation
3. Delegation based on keywords, file types, complexity, context
User Experience:
- Default: PM Agent handles everything (seamless)
- Override: @agent-[name] for direct specialist access
- Transparent: PM Agent reports delegation decisions
This establishes PM Agent as the orchestration layer while
respecting existing auto-activation patterns and manual overrides.
Next Steps:
- Local testing in agiletec project
- Iteration based on actual behavior
- Documentation updates as needed
* refactor(pm-agent): redesign as self-improvement meta-layer
Problem Resolution:
PM Agent's initial design competed with existing auto-activation for task routing,
creating confusion about orchestration responsibilities and adding unnecessary complexity.
Design Change:
Redefined PM Agent as a meta-layer agent that operates AFTER specialist agents
complete tasks, focusing on:
- Post-implementation documentation and pattern recording
- Immediate mistake analysis with prevention checklists
- Monthly documentation maintenance and noise reduction
- Pattern extraction and knowledge synthesis
Two-Layer Orchestration System:
1. Task Execution Layer: Existing auto-activation handles task routing (unchanged)
2. Self-Improvement Layer: PM Agent meta-layer handles documentation (new)
Files Modified:
- SuperClaude/Agents/pm-agent.md: Complete rewrite with meta-layer design
- Category: orchestration → meta
- Triggers: All user interactions → Post-implementation, mistakes, monthly
- Behavioral Mindset: Continuous learning system
- Self-Improvement Workflow: BEFORE/DURING/AFTER/MISTAKE RECOVERY/MAINTENANCE
- SuperClaude/Core/RULES.md: Agent Orchestration section updated
- Split into Task Execution Layer + Self-Improvement Layer
- Added orchestration flow diagram
- Clarified PM Agent activates AFTER task completion
- README.md: Updated PM Agent description
- "orchestrates all interactions" → "ensures continuous learning"
- Docs/User-Guide/agents.md: PM Agent section rewritten
- Section: Orchestration Agent → Meta-Layer Agent
- Expertise: Project orchestration → Self-improvement workflow executor
- Examples: Task coordination → Post-implementation documentation
- PR_DOCUMENTATION.md: Comprehensive PR documentation added
- Summary, motivation, changes, testing, breaking changes
- Two-layer orchestration system diagram
- Verification checklist
Integration Validated:
Tested with agiletec project's self-improvement-workflow.md:
✅ PM Agent aligns with existing BEFORE/DURING/AFTER/MISTAKE RECOVERY phases
✅ Complements (not competes with) existing workflow
✅ agiletec workflow defines WHAT, PM Agent defines WHO executes it
Breaking Changes: None
- Existing auto-activation continues unchanged
- Specialist agents unaffected
- User workflows remain the same
- New capability: Automatic documentation and knowledge maintenance
Value Proposition:
Transforms SuperClaude into a continuously learning system that accumulates
knowledge, prevents recurring mistakes, and maintains fresh documentation
without manual intervention.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
---------
Co-authored-by: kazuki <kazuki@kazukinoMacBook-Air.local>
Co-authored-by: Claude <noreply@anthropic.com>
2025-10-12 17:52:10 +09:00
|
|
|
|
|
|
|
|
```yaml
|
refactor: PM Agent complete independence from external MCP servers (#439)
* refactor: PM Agent complete independence from external MCP servers
## Summary
Implement graceful degradation to ensure PM Agent operates fully without
any MCP server dependencies. MCP servers now serve as optional enhancements
rather than required components.
## Changes
### Responsibility Separation (NEW)
- **PM Agent**: Development workflow orchestration (PDCA cycle, task management)
- **mindbase**: Memory management (long-term, freshness, error learning)
- **Built-in memory**: Session-internal context (volatile)
### 3-Layer Memory Architecture with Fallbacks
1. **Built-in Memory** [OPTIONAL]: Session context via MCP memory server
2. **mindbase** [OPTIONAL]: Long-term semantic search via airis-mcp-gateway
3. **Local Files** [ALWAYS]: Core functionality in docs/memory/
### Graceful Degradation Implementation
- All MCP operations marked with [ALWAYS] or [OPTIONAL]
- Explicit IF/ELSE fallback logic for every MCP call
- Dual storage: Always write to local files + optionally to mindbase
- Smart lookup: Semantic search (if available) → Text search (always works)
### Key Fallback Strategies
**Session Start**:
- mindbase available: search_conversations() for semantic context
- mindbase unavailable: Grep docs/memory/*.jsonl for text-based lookup
**Error Detection**:
- mindbase available: Semantic search for similar past errors
- mindbase unavailable: Grep docs/mistakes/ + solutions_learned.jsonl
**Knowledge Capture**:
- Always: echo >> docs/memory/patterns_learned.jsonl (persistent)
- Optional: mindbase.store() for semantic search enhancement
## Benefits
- ✅ Zero external dependencies (100% functionality without MCP)
- ✅ Enhanced capabilities when MCPs available (semantic search, freshness)
- ✅ No functionality loss, only reduced search intelligence
- ✅ Transparent degradation (no error messages, automatic fallback)
## Related Research
- Serena MCP investigation: Exposes tools (not resources), memory = markdown files
- mindbase superiority: PostgreSQL + pgvector > Serena memory features
- Best practices alignment: /Users/kazuki/github/airis-mcp-gateway/docs/mcp-best-practices.md
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* chore: add PR template and pre-commit config
- Add structured PR template with Git workflow checklist
- Add pre-commit hooks for secret detection and Conventional Commits
- Enforce code quality gates (YAML/JSON/Markdown lint, shellcheck)
NOTE: Execute pre-commit inside Docker container to avoid host pollution:
docker compose exec workspace uv tool install pre-commit
docker compose exec workspace pre-commit run --all-files
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* docs: update PM Agent context with token efficiency architecture
- Add Layer 0 Bootstrap (150 tokens, 95% reduction)
- Document Intent Classification System (5 complexity levels)
- Add Progressive Loading strategy (5-layer)
- Document mindbase integration incentive (38% savings)
- Update with 2025-10-17 redesign details
* refactor: PM Agent command with progressive loading
- Replace auto-loading with User Request First philosophy
- Add 5-layer progressive context loading
- Implement intent classification system
- Add workflow metrics collection (.jsonl)
- Document graceful degradation strategy
* fix: installer improvements
Update installer logic for better reliability
* docs: add comprehensive development documentation
- Add architecture overview
- Add PM Agent improvements analysis
- Add parallel execution architecture
- Add CLI install improvements
- Add code style guide
- Add project overview
- Add install process analysis
* docs: add research documentation
Add LLM agent token efficiency research and analysis
* docs: add suggested commands reference
* docs: add session logs and testing documentation
- Add session analysis logs
- Add testing documentation
* feat: migrate CLI to typer + rich for modern UX
## What Changed
### New CLI Architecture (typer + rich)
- Created `superclaude/cli/` module with modern typer-based CLI
- Replaced custom UI utilities with rich native features
- Added type-safe command structure with automatic validation
### Commands Implemented
- **install**: Interactive installation with rich UI (progress, panels)
- **doctor**: System diagnostics with rich table output
- **config**: API key management with format validation
### Technical Improvements
- Dependencies: Added typer>=0.9.0, rich>=13.0.0, click>=8.0.0
- Entry Point: Updated pyproject.toml to use `superclaude.cli.app:cli_main`
- Tests: Added comprehensive smoke tests (11 passed)
### User Experience Enhancements
- Rich formatted help messages with panels and tables
- Automatic input validation with retry loops
- Clear error messages with actionable suggestions
- Non-interactive mode support for CI/CD
## Testing
```bash
uv run superclaude --help # ✓ Works
uv run superclaude doctor # ✓ Rich table output
uv run superclaude config show # ✓ API key management
pytest tests/test_cli_smoke.py # ✓ 11 passed, 1 skipped
```
## Migration Path
- ✅ P0: Foundation complete (typer + rich + smoke tests)
- 🔜 P1: Pydantic validation models (next sprint)
- 🔜 P2: Enhanced error messages (next sprint)
- 🔜 P3: API key retry loops (next sprint)
## Performance Impact
- **Code Reduction**: Prepared for -300 lines (custom UI → rich)
- **Type Safety**: Automatic validation from type hints
- **Maintainability**: Framework primitives vs custom code
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* refactor: consolidate documentation directories
Merged claudedocs/ into docs/research/ for consistent documentation structure.
Changes:
- Moved all claudedocs/*.md files to docs/research/
- Updated all path references in documentation (EN/KR)
- Updated RULES.md and research.md command templates
- Removed claudedocs/ directory
- Removed ClaudeDocs/ from .gitignore
Benefits:
- Single source of truth for all research reports
- PEP8-compliant lowercase directory naming
- Clearer documentation organization
- Prevents future claudedocs/ directory creation
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* perf: reduce /sc:pm command output from 1652 to 15 lines
- Remove 1637 lines of documentation from command file
- Keep only minimal bootstrap message
- 99% token reduction on command execution
- Detailed specs remain in superclaude/agents/pm-agent.md
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* perf: split PM Agent into execution workflows and guide
- Reduce pm-agent.md from 735 to 429 lines (42% reduction)
- Move philosophy/examples to docs/agents/pm-agent-guide.md
- Execution workflows (PDCA, file ops) stay in pm-agent.md
- Guide (examples, quality standards) read once when needed
Token savings:
- Agent loading: ~6K → ~3.5K tokens (42% reduction)
- Total with pm.md: 71% overall reduction
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* refactor: consolidate PM Agent optimization and pending changes
PM Agent optimization (already committed separately):
- superclaude/commands/pm.md: 1652→14 lines
- superclaude/agents/pm-agent.md: 735→429 lines
- docs/agents/pm-agent-guide.md: new guide file
Other pending changes:
- setup: framework_docs, mcp, logger, remove ui.py
- superclaude: __main__, cli/app, cli/commands/install
- tests: test_ui updates
- scripts: workflow metrics analysis tools
- docs/memory: session state updates
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* refactor: simplify MCP installer to unified gateway with legacy mode
## Changes
### MCP Component (setup/components/mcp.py)
- Simplified to single airis-mcp-gateway by default
- Added legacy mode for individual official servers (sequential-thinking, context7, magic, playwright)
- Dynamic prerequisites based on mode:
- Default: uv + claude CLI only
- Legacy: node (18+) + npm + claude CLI
- Removed redundant server definitions
### CLI Integration
- Added --legacy flag to setup/cli/commands/install.py
- Added --legacy flag to superclaude/cli/commands/install.py
- Config passes legacy_mode to component installer
## Benefits
- ✅ Simpler: 1 gateway vs 9+ individual servers
- ✅ Lighter: No Node.js/npm required (default mode)
- ✅ Unified: All tools in one gateway (sequential-thinking, context7, magic, playwright, serena, morphllm, tavily, chrome-devtools, git, puppeteer)
- ✅ Flexible: --legacy flag for official servers if needed
## Usage
```bash
superclaude install # Default: airis-mcp-gateway (推奨)
superclaude install --legacy # Legacy: individual official servers
```
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* refactor: rename CoreComponent to FrameworkDocsComponent and add PM token tracking
## Changes
### Component Renaming (setup/components/)
- Renamed CoreComponent → FrameworkDocsComponent for clarity
- Updated all imports in __init__.py, agents.py, commands.py, mcp_docs.py, modes.py
- Better reflects the actual purpose (framework documentation files)
### PM Agent Enhancement (superclaude/commands/pm.md)
- Added token usage tracking instructions
- PM Agent now reports:
1. Current token usage from system warnings
2. Percentage used (e.g., "27% used" for 54K/200K)
3. Status zone: 🟢 <75% | 🟡 75-85% | 🔴 >85%
- Helps prevent token exhaustion during long sessions
### UI Utilities (setup/utils/ui.py)
- Added new UI utility module for installer
- Provides consistent user interface components
## Benefits
- ✅ Clearer component naming (FrameworkDocs vs Core)
- ✅ PM Agent token awareness for efficiency
- ✅ Better visual feedback with status zones
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* refactor(pm-agent): minimize output verbosity (471→284 lines, 40% reduction)
**Problem**: PM Agent generated excessive output with redundant explanations
- "System Status Report" with decorative formatting
- Repeated "Common Tasks" lists user already knows
- Verbose session start/end protocols
- Duplicate file operations documentation
**Solution**: Compress without losing functionality
- Session Start: Reduced to symbol-only status (🟢 branch | nM nD | token%)
- Session End: Compressed to essential actions only
- File Operations: Consolidated from 2 sections to 1 line reference
- Self-Improvement: 5 phases → 1 unified workflow
- Output Rules: Explicit constraints to prevent Claude over-explanation
**Quality Preservation**:
- ✅ All core functions retained (PDCA, memory, patterns, mistakes)
- ✅ PARALLEL Read/Write preserved (performance critical)
- ✅ Workflow unchanged (session lifecycle intact)
- ✅ Added output constraints (prevents verbose generation)
**Reduction Method**:
- Deleted: Explanatory text, examples, redundant sections
- Retained: Action definitions, file paths, core workflows
- Added: Explicit output constraints to enforce minimalism
**Token Impact**: 40% reduction in agent documentation size
**Before**: Verbose multi-section report with task lists
**After**: Single line status: 🟢 integration | 15M 17D | 36%
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* refactor: consolidate MCP integration to unified gateway
**Changes**:
- Remove individual MCP server docs (superclaude/mcp/*.md)
- Remove MCP server configs (superclaude/mcp/configs/*.json)
- Delete MCP docs component (setup/components/mcp_docs.py)
- Simplify installer (setup/core/installer.py)
- Update components for unified gateway approach
**Rationale**:
- Unified gateway (airis-mcp-gateway) provides all MCP servers
- Individual docs/configs no longer needed (managed centrally)
- Reduces maintenance burden and file count
- Simplifies installation process
**Files Removed**: 17 MCP files (docs + configs)
**Installer Changes**: Removed legacy MCP installation logic
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* chore: update version and component metadata
- Bump version (pyproject.toml, setup/__init__.py)
- Update CLAUDE.md import service references
- Reflect component structure changes
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
---------
Co-authored-by: kazuki <kazuki@kazukinoMacBook-Air.local>
Co-authored-by: Claude <noreply@anthropic.com>
2025-10-17 09:13:06 +09:00
|
|
|
BEFORE: Check CLAUDE.md + docs/*.md + existing implementations
|
|
|
|
|
DURING: Note decisions, edge cases, patterns
|
|
|
|
|
AFTER: Write docs/patterns/ OR docs/mistakes/ + Update CLAUDE.md if global
|
|
|
|
|
MISTAKE: STOP → Root cause → docs/mistakes/[feature]-[date].md → Prevention checklist
|
|
|
|
|
MONTHLY: find docs -mtime +180 -delete + Merge duplicates + Update dates
|
Redesign PM Agent as Self-Improvement Meta-Layer (#421)
* feat: Add PM Agent (Project Manager Agent) for seamless orchestration
Introduces PM Agent as the default orchestration layer that coordinates
all sub-agents and manages workflows automatically.
Key Features:
- Default orchestration: All user interactions handled by PM Agent
- Auto-delegation: Intelligent sub-agent selection based on task analysis
- Docker Gateway integration: Zero-token baseline with dynamic MCP loading
- Self-improvement loop: Automatic documentation of patterns and mistakes
- Optional override: Users can specify sub-agents explicitly if desired
Architecture:
- Agent spec: SuperClaude/Agents/pm-agent.md
- Command: SuperClaude/Commands/pm.md
- Updated docs: README.md (15→16 agents), agents.md (new Orchestration category)
User Experience:
- Default: PM Agent handles everything (seamless, no manual routing)
- Optional: Explicit --agent flag for direct sub-agent access
- Both modes available simultaneously (no user downside)
Implementation Status:
- ✅ Specification complete
- ✅ Documentation complete
- ⏳ Prototype implementation needed
- ⏳ Docker Gateway integration needed
- ⏳ Testing and validation needed
Refs: kazukinakai/docker-mcp-gateway (IRIS MCP Gateway integration)
* feat: Add Agent Orchestration rules for PM Agent default activation
Implements PM Agent as the default orchestration layer in RULES.md.
Key Changes:
- New 'Agent Orchestration' section (CRITICAL priority)
- PM Agent receives ALL user requests by default
- Manual override with @agent-[name] bypasses PM Agent
- Agent Selection Priority clearly defined:
1. Manual override → Direct routing
2. Default → PM Agent → Auto-delegation
3. Delegation based on keywords, file types, complexity, context
User Experience:
- Default: PM Agent handles everything (seamless)
- Override: @agent-[name] for direct specialist access
- Transparent: PM Agent reports delegation decisions
This establishes PM Agent as the orchestration layer while
respecting existing auto-activation patterns and manual overrides.
Next Steps:
- Local testing in agiletec project
- Iteration based on actual behavior
- Documentation updates as needed
* refactor(pm-agent): redesign as self-improvement meta-layer
Problem Resolution:
PM Agent's initial design competed with existing auto-activation for task routing,
creating confusion about orchestration responsibilities and adding unnecessary complexity.
Design Change:
Redefined PM Agent as a meta-layer agent that operates AFTER specialist agents
complete tasks, focusing on:
- Post-implementation documentation and pattern recording
- Immediate mistake analysis with prevention checklists
- Monthly documentation maintenance and noise reduction
- Pattern extraction and knowledge synthesis
Two-Layer Orchestration System:
1. Task Execution Layer: Existing auto-activation handles task routing (unchanged)
2. Self-Improvement Layer: PM Agent meta-layer handles documentation (new)
Files Modified:
- SuperClaude/Agents/pm-agent.md: Complete rewrite with meta-layer design
- Category: orchestration → meta
- Triggers: All user interactions → Post-implementation, mistakes, monthly
- Behavioral Mindset: Continuous learning system
- Self-Improvement Workflow: BEFORE/DURING/AFTER/MISTAKE RECOVERY/MAINTENANCE
- SuperClaude/Core/RULES.md: Agent Orchestration section updated
- Split into Task Execution Layer + Self-Improvement Layer
- Added orchestration flow diagram
- Clarified PM Agent activates AFTER task completion
- README.md: Updated PM Agent description
- "orchestrates all interactions" → "ensures continuous learning"
- Docs/User-Guide/agents.md: PM Agent section rewritten
- Section: Orchestration Agent → Meta-Layer Agent
- Expertise: Project orchestration → Self-improvement workflow executor
- Examples: Task coordination → Post-implementation documentation
- PR_DOCUMENTATION.md: Comprehensive PR documentation added
- Summary, motivation, changes, testing, breaking changes
- Two-layer orchestration system diagram
- Verification checklist
Integration Validated:
Tested with agiletec project's self-improvement-workflow.md:
✅ PM Agent aligns with existing BEFORE/DURING/AFTER/MISTAKE RECOVERY phases
✅ Complements (not competes with) existing workflow
✅ agiletec workflow defines WHAT, PM Agent defines WHO executes it
Breaking Changes: None
- Existing auto-activation continues unchanged
- Specialist agents unaffected
- User workflows remain the same
- New capability: Automatic documentation and knowledge maintenance
Value Proposition:
Transforms SuperClaude into a continuously learning system that accumulates
knowledge, prevents recurring mistakes, and maintains fresh documentation
without manual intervention.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
---------
Co-authored-by: kazuki <kazuki@kazukinoMacBook-Air.local>
Co-authored-by: Claude <noreply@anthropic.com>
2025-10-12 17:52:10 +09:00
|
|
|
```
|
|
|
|
|
|
refactor: PM Agent complete independence from external MCP servers (#439)
* refactor: PM Agent complete independence from external MCP servers
## Summary
Implement graceful degradation to ensure PM Agent operates fully without
any MCP server dependencies. MCP servers now serve as optional enhancements
rather than required components.
## Changes
### Responsibility Separation (NEW)
- **PM Agent**: Development workflow orchestration (PDCA cycle, task management)
- **mindbase**: Memory management (long-term, freshness, error learning)
- **Built-in memory**: Session-internal context (volatile)
### 3-Layer Memory Architecture with Fallbacks
1. **Built-in Memory** [OPTIONAL]: Session context via MCP memory server
2. **mindbase** [OPTIONAL]: Long-term semantic search via airis-mcp-gateway
3. **Local Files** [ALWAYS]: Core functionality in docs/memory/
### Graceful Degradation Implementation
- All MCP operations marked with [ALWAYS] or [OPTIONAL]
- Explicit IF/ELSE fallback logic for every MCP call
- Dual storage: Always write to local files + optionally to mindbase
- Smart lookup: Semantic search (if available) → Text search (always works)
### Key Fallback Strategies
**Session Start**:
- mindbase available: search_conversations() for semantic context
- mindbase unavailable: Grep docs/memory/*.jsonl for text-based lookup
**Error Detection**:
- mindbase available: Semantic search for similar past errors
- mindbase unavailable: Grep docs/mistakes/ + solutions_learned.jsonl
**Knowledge Capture**:
- Always: echo >> docs/memory/patterns_learned.jsonl (persistent)
- Optional: mindbase.store() for semantic search enhancement
## Benefits
- ✅ Zero external dependencies (100% functionality without MCP)
- ✅ Enhanced capabilities when MCPs available (semantic search, freshness)
- ✅ No functionality loss, only reduced search intelligence
- ✅ Transparent degradation (no error messages, automatic fallback)
## Related Research
- Serena MCP investigation: Exposes tools (not resources), memory = markdown files
- mindbase superiority: PostgreSQL + pgvector > Serena memory features
- Best practices alignment: /Users/kazuki/github/airis-mcp-gateway/docs/mcp-best-practices.md
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* chore: add PR template and pre-commit config
- Add structured PR template with Git workflow checklist
- Add pre-commit hooks for secret detection and Conventional Commits
- Enforce code quality gates (YAML/JSON/Markdown lint, shellcheck)
NOTE: Execute pre-commit inside Docker container to avoid host pollution:
docker compose exec workspace uv tool install pre-commit
docker compose exec workspace pre-commit run --all-files
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* docs: update PM Agent context with token efficiency architecture
- Add Layer 0 Bootstrap (150 tokens, 95% reduction)
- Document Intent Classification System (5 complexity levels)
- Add Progressive Loading strategy (5-layer)
- Document mindbase integration incentive (38% savings)
- Update with 2025-10-17 redesign details
* refactor: PM Agent command with progressive loading
- Replace auto-loading with User Request First philosophy
- Add 5-layer progressive context loading
- Implement intent classification system
- Add workflow metrics collection (.jsonl)
- Document graceful degradation strategy
* fix: installer improvements
Update installer logic for better reliability
* docs: add comprehensive development documentation
- Add architecture overview
- Add PM Agent improvements analysis
- Add parallel execution architecture
- Add CLI install improvements
- Add code style guide
- Add project overview
- Add install process analysis
* docs: add research documentation
Add LLM agent token efficiency research and analysis
* docs: add suggested commands reference
* docs: add session logs and testing documentation
- Add session analysis logs
- Add testing documentation
* feat: migrate CLI to typer + rich for modern UX
## What Changed
### New CLI Architecture (typer + rich)
- Created `superclaude/cli/` module with modern typer-based CLI
- Replaced custom UI utilities with rich native features
- Added type-safe command structure with automatic validation
### Commands Implemented
- **install**: Interactive installation with rich UI (progress, panels)
- **doctor**: System diagnostics with rich table output
- **config**: API key management with format validation
### Technical Improvements
- Dependencies: Added typer>=0.9.0, rich>=13.0.0, click>=8.0.0
- Entry Point: Updated pyproject.toml to use `superclaude.cli.app:cli_main`
- Tests: Added comprehensive smoke tests (11 passed)
### User Experience Enhancements
- Rich formatted help messages with panels and tables
- Automatic input validation with retry loops
- Clear error messages with actionable suggestions
- Non-interactive mode support for CI/CD
## Testing
```bash
uv run superclaude --help # ✓ Works
uv run superclaude doctor # ✓ Rich table output
uv run superclaude config show # ✓ API key management
pytest tests/test_cli_smoke.py # ✓ 11 passed, 1 skipped
```
## Migration Path
- ✅ P0: Foundation complete (typer + rich + smoke tests)
- 🔜 P1: Pydantic validation models (next sprint)
- 🔜 P2: Enhanced error messages (next sprint)
- 🔜 P3: API key retry loops (next sprint)
## Performance Impact
- **Code Reduction**: Prepared for -300 lines (custom UI → rich)
- **Type Safety**: Automatic validation from type hints
- **Maintainability**: Framework primitives vs custom code
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* refactor: consolidate documentation directories
Merged claudedocs/ into docs/research/ for consistent documentation structure.
Changes:
- Moved all claudedocs/*.md files to docs/research/
- Updated all path references in documentation (EN/KR)
- Updated RULES.md and research.md command templates
- Removed claudedocs/ directory
- Removed ClaudeDocs/ from .gitignore
Benefits:
- Single source of truth for all research reports
- PEP8-compliant lowercase directory naming
- Clearer documentation organization
- Prevents future claudedocs/ directory creation
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* perf: reduce /sc:pm command output from 1652 to 15 lines
- Remove 1637 lines of documentation from command file
- Keep only minimal bootstrap message
- 99% token reduction on command execution
- Detailed specs remain in superclaude/agents/pm-agent.md
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* perf: split PM Agent into execution workflows and guide
- Reduce pm-agent.md from 735 to 429 lines (42% reduction)
- Move philosophy/examples to docs/agents/pm-agent-guide.md
- Execution workflows (PDCA, file ops) stay in pm-agent.md
- Guide (examples, quality standards) read once when needed
Token savings:
- Agent loading: ~6K → ~3.5K tokens (42% reduction)
- Total with pm.md: 71% overall reduction
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* refactor: consolidate PM Agent optimization and pending changes
PM Agent optimization (already committed separately):
- superclaude/commands/pm.md: 1652→14 lines
- superclaude/agents/pm-agent.md: 735→429 lines
- docs/agents/pm-agent-guide.md: new guide file
Other pending changes:
- setup: framework_docs, mcp, logger, remove ui.py
- superclaude: __main__, cli/app, cli/commands/install
- tests: test_ui updates
- scripts: workflow metrics analysis tools
- docs/memory: session state updates
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* refactor: simplify MCP installer to unified gateway with legacy mode
## Changes
### MCP Component (setup/components/mcp.py)
- Simplified to single airis-mcp-gateway by default
- Added legacy mode for individual official servers (sequential-thinking, context7, magic, playwright)
- Dynamic prerequisites based on mode:
- Default: uv + claude CLI only
- Legacy: node (18+) + npm + claude CLI
- Removed redundant server definitions
### CLI Integration
- Added --legacy flag to setup/cli/commands/install.py
- Added --legacy flag to superclaude/cli/commands/install.py
- Config passes legacy_mode to component installer
## Benefits
- ✅ Simpler: 1 gateway vs 9+ individual servers
- ✅ Lighter: No Node.js/npm required (default mode)
- ✅ Unified: All tools in one gateway (sequential-thinking, context7, magic, playwright, serena, morphllm, tavily, chrome-devtools, git, puppeteer)
- ✅ Flexible: --legacy flag for official servers if needed
## Usage
```bash
superclaude install # Default: airis-mcp-gateway (推奨)
superclaude install --legacy # Legacy: individual official servers
```
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* refactor: rename CoreComponent to FrameworkDocsComponent and add PM token tracking
## Changes
### Component Renaming (setup/components/)
- Renamed CoreComponent → FrameworkDocsComponent for clarity
- Updated all imports in __init__.py, agents.py, commands.py, mcp_docs.py, modes.py
- Better reflects the actual purpose (framework documentation files)
### PM Agent Enhancement (superclaude/commands/pm.md)
- Added token usage tracking instructions
- PM Agent now reports:
1. Current token usage from system warnings
2. Percentage used (e.g., "27% used" for 54K/200K)
3. Status zone: 🟢 <75% | 🟡 75-85% | 🔴 >85%
- Helps prevent token exhaustion during long sessions
### UI Utilities (setup/utils/ui.py)
- Added new UI utility module for installer
- Provides consistent user interface components
## Benefits
- ✅ Clearer component naming (FrameworkDocs vs Core)
- ✅ PM Agent token awareness for efficiency
- ✅ Better visual feedback with status zones
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* refactor(pm-agent): minimize output verbosity (471→284 lines, 40% reduction)
**Problem**: PM Agent generated excessive output with redundant explanations
- "System Status Report" with decorative formatting
- Repeated "Common Tasks" lists user already knows
- Verbose session start/end protocols
- Duplicate file operations documentation
**Solution**: Compress without losing functionality
- Session Start: Reduced to symbol-only status (🟢 branch | nM nD | token%)
- Session End: Compressed to essential actions only
- File Operations: Consolidated from 2 sections to 1 line reference
- Self-Improvement: 5 phases → 1 unified workflow
- Output Rules: Explicit constraints to prevent Claude over-explanation
**Quality Preservation**:
- ✅ All core functions retained (PDCA, memory, patterns, mistakes)
- ✅ PARALLEL Read/Write preserved (performance critical)
- ✅ Workflow unchanged (session lifecycle intact)
- ✅ Added output constraints (prevents verbose generation)
**Reduction Method**:
- Deleted: Explanatory text, examples, redundant sections
- Retained: Action definitions, file paths, core workflows
- Added: Explicit output constraints to enforce minimalism
**Token Impact**: 40% reduction in agent documentation size
**Before**: Verbose multi-section report with task lists
**After**: Single line status: 🟢 integration | 15M 17D | 36%
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* refactor: consolidate MCP integration to unified gateway
**Changes**:
- Remove individual MCP server docs (superclaude/mcp/*.md)
- Remove MCP server configs (superclaude/mcp/configs/*.json)
- Delete MCP docs component (setup/components/mcp_docs.py)
- Simplify installer (setup/core/installer.py)
- Update components for unified gateway approach
**Rationale**:
- Unified gateway (airis-mcp-gateway) provides all MCP servers
- Individual docs/configs no longer needed (managed centrally)
- Reduces maintenance burden and file count
- Simplifies installation process
**Files Removed**: 17 MCP files (docs + configs)
**Installer Changes**: Removed legacy MCP installation logic
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* chore: update version and component metadata
- Bump version (pyproject.toml, setup/__init__.py)
- Update CLAUDE.md import service references
- Reflect component structure changes
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
---------
Co-authored-by: kazuki <kazuki@kazukinoMacBook-Air.local>
Co-authored-by: Claude <noreply@anthropic.com>
2025-10-17 09:13:06 +09:00
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---
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Redesign PM Agent as Self-Improvement Meta-Layer (#421)
* feat: Add PM Agent (Project Manager Agent) for seamless orchestration
Introduces PM Agent as the default orchestration layer that coordinates
all sub-agents and manages workflows automatically.
Key Features:
- Default orchestration: All user interactions handled by PM Agent
- Auto-delegation: Intelligent sub-agent selection based on task analysis
- Docker Gateway integration: Zero-token baseline with dynamic MCP loading
- Self-improvement loop: Automatic documentation of patterns and mistakes
- Optional override: Users can specify sub-agents explicitly if desired
Architecture:
- Agent spec: SuperClaude/Agents/pm-agent.md
- Command: SuperClaude/Commands/pm.md
- Updated docs: README.md (15→16 agents), agents.md (new Orchestration category)
User Experience:
- Default: PM Agent handles everything (seamless, no manual routing)
- Optional: Explicit --agent flag for direct sub-agent access
- Both modes available simultaneously (no user downside)
Implementation Status:
- ✅ Specification complete
- ✅ Documentation complete
- ⏳ Prototype implementation needed
- ⏳ Docker Gateway integration needed
- ⏳ Testing and validation needed
Refs: kazukinakai/docker-mcp-gateway (IRIS MCP Gateway integration)
* feat: Add Agent Orchestration rules for PM Agent default activation
Implements PM Agent as the default orchestration layer in RULES.md.
Key Changes:
- New 'Agent Orchestration' section (CRITICAL priority)
- PM Agent receives ALL user requests by default
- Manual override with @agent-[name] bypasses PM Agent
- Agent Selection Priority clearly defined:
1. Manual override → Direct routing
2. Default → PM Agent → Auto-delegation
3. Delegation based on keywords, file types, complexity, context
User Experience:
- Default: PM Agent handles everything (seamless)
- Override: @agent-[name] for direct specialist access
- Transparent: PM Agent reports delegation decisions
This establishes PM Agent as the orchestration layer while
respecting existing auto-activation patterns and manual overrides.
Next Steps:
- Local testing in agiletec project
- Iteration based on actual behavior
- Documentation updates as needed
* refactor(pm-agent): redesign as self-improvement meta-layer
Problem Resolution:
PM Agent's initial design competed with existing auto-activation for task routing,
creating confusion about orchestration responsibilities and adding unnecessary complexity.
Design Change:
Redefined PM Agent as a meta-layer agent that operates AFTER specialist agents
complete tasks, focusing on:
- Post-implementation documentation and pattern recording
- Immediate mistake analysis with prevention checklists
- Monthly documentation maintenance and noise reduction
- Pattern extraction and knowledge synthesis
Two-Layer Orchestration System:
1. Task Execution Layer: Existing auto-activation handles task routing (unchanged)
2. Self-Improvement Layer: PM Agent meta-layer handles documentation (new)
Files Modified:
- SuperClaude/Agents/pm-agent.md: Complete rewrite with meta-layer design
- Category: orchestration → meta
- Triggers: All user interactions → Post-implementation, mistakes, monthly
- Behavioral Mindset: Continuous learning system
- Self-Improvement Workflow: BEFORE/DURING/AFTER/MISTAKE RECOVERY/MAINTENANCE
- SuperClaude/Core/RULES.md: Agent Orchestration section updated
- Split into Task Execution Layer + Self-Improvement Layer
- Added orchestration flow diagram
- Clarified PM Agent activates AFTER task completion
- README.md: Updated PM Agent description
- "orchestrates all interactions" → "ensures continuous learning"
- Docs/User-Guide/agents.md: PM Agent section rewritten
- Section: Orchestration Agent → Meta-Layer Agent
- Expertise: Project orchestration → Self-improvement workflow executor
- Examples: Task coordination → Post-implementation documentation
- PR_DOCUMENTATION.md: Comprehensive PR documentation added
- Summary, motivation, changes, testing, breaking changes
- Two-layer orchestration system diagram
- Verification checklist
Integration Validated:
Tested with agiletec project's self-improvement-workflow.md:
✅ PM Agent aligns with existing BEFORE/DURING/AFTER/MISTAKE RECOVERY phases
✅ Complements (not competes with) existing workflow
✅ agiletec workflow defines WHAT, PM Agent defines WHO executes it
Breaking Changes: None
- Existing auto-activation continues unchanged
- Specialist agents unaffected
- User workflows remain the same
- New capability: Automatic documentation and knowledge maintenance
Value Proposition:
Transforms SuperClaude into a continuously learning system that accumulates
knowledge, prevents recurring mistakes, and maintains fresh documentation
without manual intervention.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
---------
Co-authored-by: kazuki <kazuki@kazukinoMacBook-Air.local>
Co-authored-by: Claude <noreply@anthropic.com>
2025-10-12 17:52:10 +09:00
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refactor: PM Agent complete independence from external MCP servers (#439)
* refactor: PM Agent complete independence from external MCP servers
## Summary
Implement graceful degradation to ensure PM Agent operates fully without
any MCP server dependencies. MCP servers now serve as optional enhancements
rather than required components.
## Changes
### Responsibility Separation (NEW)
- **PM Agent**: Development workflow orchestration (PDCA cycle, task management)
- **mindbase**: Memory management (long-term, freshness, error learning)
- **Built-in memory**: Session-internal context (volatile)
### 3-Layer Memory Architecture with Fallbacks
1. **Built-in Memory** [OPTIONAL]: Session context via MCP memory server
2. **mindbase** [OPTIONAL]: Long-term semantic search via airis-mcp-gateway
3. **Local Files** [ALWAYS]: Core functionality in docs/memory/
### Graceful Degradation Implementation
- All MCP operations marked with [ALWAYS] or [OPTIONAL]
- Explicit IF/ELSE fallback logic for every MCP call
- Dual storage: Always write to local files + optionally to mindbase
- Smart lookup: Semantic search (if available) → Text search (always works)
### Key Fallback Strategies
**Session Start**:
- mindbase available: search_conversations() for semantic context
- mindbase unavailable: Grep docs/memory/*.jsonl for text-based lookup
**Error Detection**:
- mindbase available: Semantic search for similar past errors
- mindbase unavailable: Grep docs/mistakes/ + solutions_learned.jsonl
**Knowledge Capture**:
- Always: echo >> docs/memory/patterns_learned.jsonl (persistent)
- Optional: mindbase.store() for semantic search enhancement
## Benefits
- ✅ Zero external dependencies (100% functionality without MCP)
- ✅ Enhanced capabilities when MCPs available (semantic search, freshness)
- ✅ No functionality loss, only reduced search intelligence
- ✅ Transparent degradation (no error messages, automatic fallback)
## Related Research
- Serena MCP investigation: Exposes tools (not resources), memory = markdown files
- mindbase superiority: PostgreSQL + pgvector > Serena memory features
- Best practices alignment: /Users/kazuki/github/airis-mcp-gateway/docs/mcp-best-practices.md
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* chore: add PR template and pre-commit config
- Add structured PR template with Git workflow checklist
- Add pre-commit hooks for secret detection and Conventional Commits
- Enforce code quality gates (YAML/JSON/Markdown lint, shellcheck)
NOTE: Execute pre-commit inside Docker container to avoid host pollution:
docker compose exec workspace uv tool install pre-commit
docker compose exec workspace pre-commit run --all-files
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* docs: update PM Agent context with token efficiency architecture
- Add Layer 0 Bootstrap (150 tokens, 95% reduction)
- Document Intent Classification System (5 complexity levels)
- Add Progressive Loading strategy (5-layer)
- Document mindbase integration incentive (38% savings)
- Update with 2025-10-17 redesign details
* refactor: PM Agent command with progressive loading
- Replace auto-loading with User Request First philosophy
- Add 5-layer progressive context loading
- Implement intent classification system
- Add workflow metrics collection (.jsonl)
- Document graceful degradation strategy
* fix: installer improvements
Update installer logic for better reliability
* docs: add comprehensive development documentation
- Add architecture overview
- Add PM Agent improvements analysis
- Add parallel execution architecture
- Add CLI install improvements
- Add code style guide
- Add project overview
- Add install process analysis
* docs: add research documentation
Add LLM agent token efficiency research and analysis
* docs: add suggested commands reference
* docs: add session logs and testing documentation
- Add session analysis logs
- Add testing documentation
* feat: migrate CLI to typer + rich for modern UX
## What Changed
### New CLI Architecture (typer + rich)
- Created `superclaude/cli/` module with modern typer-based CLI
- Replaced custom UI utilities with rich native features
- Added type-safe command structure with automatic validation
### Commands Implemented
- **install**: Interactive installation with rich UI (progress, panels)
- **doctor**: System diagnostics with rich table output
- **config**: API key management with format validation
### Technical Improvements
- Dependencies: Added typer>=0.9.0, rich>=13.0.0, click>=8.0.0
- Entry Point: Updated pyproject.toml to use `superclaude.cli.app:cli_main`
- Tests: Added comprehensive smoke tests (11 passed)
### User Experience Enhancements
- Rich formatted help messages with panels and tables
- Automatic input validation with retry loops
- Clear error messages with actionable suggestions
- Non-interactive mode support for CI/CD
## Testing
```bash
uv run superclaude --help # ✓ Works
uv run superclaude doctor # ✓ Rich table output
uv run superclaude config show # ✓ API key management
pytest tests/test_cli_smoke.py # ✓ 11 passed, 1 skipped
```
## Migration Path
- ✅ P0: Foundation complete (typer + rich + smoke tests)
- 🔜 P1: Pydantic validation models (next sprint)
- 🔜 P2: Enhanced error messages (next sprint)
- 🔜 P3: API key retry loops (next sprint)
## Performance Impact
- **Code Reduction**: Prepared for -300 lines (custom UI → rich)
- **Type Safety**: Automatic validation from type hints
- **Maintainability**: Framework primitives vs custom code
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* refactor: consolidate documentation directories
Merged claudedocs/ into docs/research/ for consistent documentation structure.
Changes:
- Moved all claudedocs/*.md files to docs/research/
- Updated all path references in documentation (EN/KR)
- Updated RULES.md and research.md command templates
- Removed claudedocs/ directory
- Removed ClaudeDocs/ from .gitignore
Benefits:
- Single source of truth for all research reports
- PEP8-compliant lowercase directory naming
- Clearer documentation organization
- Prevents future claudedocs/ directory creation
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* perf: reduce /sc:pm command output from 1652 to 15 lines
- Remove 1637 lines of documentation from command file
- Keep only minimal bootstrap message
- 99% token reduction on command execution
- Detailed specs remain in superclaude/agents/pm-agent.md
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* perf: split PM Agent into execution workflows and guide
- Reduce pm-agent.md from 735 to 429 lines (42% reduction)
- Move philosophy/examples to docs/agents/pm-agent-guide.md
- Execution workflows (PDCA, file ops) stay in pm-agent.md
- Guide (examples, quality standards) read once when needed
Token savings:
- Agent loading: ~6K → ~3.5K tokens (42% reduction)
- Total with pm.md: 71% overall reduction
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* refactor: consolidate PM Agent optimization and pending changes
PM Agent optimization (already committed separately):
- superclaude/commands/pm.md: 1652→14 lines
- superclaude/agents/pm-agent.md: 735→429 lines
- docs/agents/pm-agent-guide.md: new guide file
Other pending changes:
- setup: framework_docs, mcp, logger, remove ui.py
- superclaude: __main__, cli/app, cli/commands/install
- tests: test_ui updates
- scripts: workflow metrics analysis tools
- docs/memory: session state updates
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* refactor: simplify MCP installer to unified gateway with legacy mode
## Changes
### MCP Component (setup/components/mcp.py)
- Simplified to single airis-mcp-gateway by default
- Added legacy mode for individual official servers (sequential-thinking, context7, magic, playwright)
- Dynamic prerequisites based on mode:
- Default: uv + claude CLI only
- Legacy: node (18+) + npm + claude CLI
- Removed redundant server definitions
### CLI Integration
- Added --legacy flag to setup/cli/commands/install.py
- Added --legacy flag to superclaude/cli/commands/install.py
- Config passes legacy_mode to component installer
## Benefits
- ✅ Simpler: 1 gateway vs 9+ individual servers
- ✅ Lighter: No Node.js/npm required (default mode)
- ✅ Unified: All tools in one gateway (sequential-thinking, context7, magic, playwright, serena, morphllm, tavily, chrome-devtools, git, puppeteer)
- ✅ Flexible: --legacy flag for official servers if needed
## Usage
```bash
superclaude install # Default: airis-mcp-gateway (推奨)
superclaude install --legacy # Legacy: individual official servers
```
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* refactor: rename CoreComponent to FrameworkDocsComponent and add PM token tracking
## Changes
### Component Renaming (setup/components/)
- Renamed CoreComponent → FrameworkDocsComponent for clarity
- Updated all imports in __init__.py, agents.py, commands.py, mcp_docs.py, modes.py
- Better reflects the actual purpose (framework documentation files)
### PM Agent Enhancement (superclaude/commands/pm.md)
- Added token usage tracking instructions
- PM Agent now reports:
1. Current token usage from system warnings
2. Percentage used (e.g., "27% used" for 54K/200K)
3. Status zone: 🟢 <75% | 🟡 75-85% | 🔴 >85%
- Helps prevent token exhaustion during long sessions
### UI Utilities (setup/utils/ui.py)
- Added new UI utility module for installer
- Provides consistent user interface components
## Benefits
- ✅ Clearer component naming (FrameworkDocs vs Core)
- ✅ PM Agent token awareness for efficiency
- ✅ Better visual feedback with status zones
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* refactor(pm-agent): minimize output verbosity (471→284 lines, 40% reduction)
**Problem**: PM Agent generated excessive output with redundant explanations
- "System Status Report" with decorative formatting
- Repeated "Common Tasks" lists user already knows
- Verbose session start/end protocols
- Duplicate file operations documentation
**Solution**: Compress without losing functionality
- Session Start: Reduced to symbol-only status (🟢 branch | nM nD | token%)
- Session End: Compressed to essential actions only
- File Operations: Consolidated from 2 sections to 1 line reference
- Self-Improvement: 5 phases → 1 unified workflow
- Output Rules: Explicit constraints to prevent Claude over-explanation
**Quality Preservation**:
- ✅ All core functions retained (PDCA, memory, patterns, mistakes)
- ✅ PARALLEL Read/Write preserved (performance critical)
- ✅ Workflow unchanged (session lifecycle intact)
- ✅ Added output constraints (prevents verbose generation)
**Reduction Method**:
- Deleted: Explanatory text, examples, redundant sections
- Retained: Action definitions, file paths, core workflows
- Added: Explicit output constraints to enforce minimalism
**Token Impact**: 40% reduction in agent documentation size
**Before**: Verbose multi-section report with task lists
**After**: Single line status: 🟢 integration | 15M 17D | 36%
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* refactor: consolidate MCP integration to unified gateway
**Changes**:
- Remove individual MCP server docs (superclaude/mcp/*.md)
- Remove MCP server configs (superclaude/mcp/configs/*.json)
- Delete MCP docs component (setup/components/mcp_docs.py)
- Simplify installer (setup/core/installer.py)
- Update components for unified gateway approach
**Rationale**:
- Unified gateway (airis-mcp-gateway) provides all MCP servers
- Individual docs/configs no longer needed (managed centrally)
- Reduces maintenance burden and file count
- Simplifies installation process
**Files Removed**: 17 MCP files (docs + configs)
**Installer Changes**: Removed legacy MCP installation logic
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* chore: update version and component metadata
- Bump version (pyproject.toml, setup/__init__.py)
- Update CLAUDE.md import service references
- Reflect component structure changes
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
---------
Co-authored-by: kazuki <kazuki@kazukinoMacBook-Air.local>
Co-authored-by: Claude <noreply@anthropic.com>
2025-10-17 09:13:06 +09:00
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**See Also**: `pm-agent-guide.md` for detailed philosophy, examples, and quality standards.
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