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
# SuperClaude Architecture
**Last Updated**: 2025-10-14
**Version**: 4.1.5
## 📋 Table of Contents
1. [System Overview ](#system-overview )
2. [Core Architecture ](#core-architecture )
3. [PM Agent Mode: The Meta-Layer ](#pm-agent-mode-the-meta-layer )
4. [Component Relationships ](#component-relationships )
5. [Serena MCP Integration ](#serena-mcp-integration )
6. [PDCA Engine ](#pdca-engine )
7. [Data Flow ](#data-flow )
8. [Extension Points ](#extension-points )
---
## System Overview
### What is SuperClaude?
SuperClaude is a **Context-Oriented Configuration Framework** that transforms Claude Code into a structured development platform. It is NOT standalone software with running processes - it is a collection of `.md` instruction files that Claude Code reads to adopt specialized behaviors.
### Key Components
```
SuperClaude Framework
├── Commands (26) → Workflow patterns
├── Agents (16) → Domain expertise
├── Modes (7) → Behavioral modifiers
├── MCP Servers (8) → External tool integrations
└── PM Agent Mode → Meta-layer orchestration (Always-Active)
```
### Version Information
- **Current Version**: 4.1.5
- **Commands**: 26 slash commands (`/sc:*` )
- **Agents**: 16 specialized domain experts
- **Modes**: 7 behavioral modes
- **MCP Servers**: 8 integrations (Context7, Sequential, Magic, Playwright, Morphllm, Serena, Tavily, Chrome DevTools)
---
## Core Architecture
### Context-Oriented Configuration
SuperClaude's architecture is built on a simple principle: **behavioral modification through structured context files** .
```
User Input
↓
Context Loading (CLAUDE.md imports)
↓
Command Detection (/sc:* pattern)
↓
Agent Activation (manual or auto)
↓
Mode Application (flags or triggers)
↓
MCP Tool Coordination
↓
Output Generation
```
### Directory Structure
```
~/.claude/
├── CLAUDE.md # Main context with @imports
├── FLAGS.md # Flag definitions
├── RULES.md # Core behavioral rules
├── PRINCIPLES.md # Guiding principles
├── MODE_*.md # 7 behavioral modes
├── MCP_*.md # 8 MCP server integrations
├── agents/ # 16 specialized agents
│ ├── pm-agent.md # 🆕 Meta-layer orchestrator
│ ├── backend-architect.md
│ ├── frontend-architect.md
│ ├── security-engineer.md
│ └── ... (13 more)
└── commands/sc/ # 26 workflow commands
├── pm.md # 🆕 PM Agent command
├── implement.md
├── analyze.md
└── ... (23 more)
```
---
## PM Agent Mode: The Meta-Layer
### Position in Architecture
PM Agent operates as a **meta-layer** above all other components:
```
┌─────────────────────────────────────────────┐
│ PM Agent Mode (Meta-Layer) │
│ • Always Active (Session Start) │
│ • Context Preservation │
│ • PDCA Self-Evaluation │
│ • Knowledge Management │
└─────────────────────────────────────────────┘
↓
┌─────────────────────────────────────────────┐
│ Specialist Agents (16) │
│ backend-architect, security-engineer, etc. │
└─────────────────────────────────────────────┘
↓
┌─────────────────────────────────────────────┐
│ Commands & Modes │
│ /sc:implement, /sc:analyze, etc. │
└─────────────────────────────────────────────┘
↓
┌─────────────────────────────────────────────┐
│ MCP Tool Layer │
│ Context7, Sequential, Magic, etc. │
└─────────────────────────────────────────────┘
```
### PM Agent Responsibilities
1. **Session Lifecycle Management**
- Auto-activation at session start
- Context restoration from Serena MCP memory
- User report generation (前回/進捗/今回/課題)
2. **PDCA Cycle Execution**
- Plan: Hypothesis generation
- Do: Experimentation with checkpoints
- Check: Self-evaluation
- Act: Knowledge extraction
3. **Documentation Strategy**
- Temporary documentation (`docs/temp/` )
- Formal patterns (`docs/patterns/` )
- Mistake records (`docs/mistakes/` )
- Knowledge evolution to CLAUDE.md
4. **Sub-Agent Orchestration**
- Auto-delegation to specialists
- Context coordination
- Quality gate validation
- Progress monitoring
---
## Component Relationships
### Commands → Agents → Modes → MCP
```
User: "/sc:implement authentication" --security
↓
[Command Layer]
commands/sc/implement.md
↓
[Agent Auto-Activation]
agents/security-engineer.md
agents/backend-architect.md
↓
[Mode Application]
MODE_Task_Management.md (TodoWrite)
↓
[MCP Tool Coordination]
Context7 (auth patterns)
Sequential (complex analysis)
↓
[PM Agent Meta-Layer]
Document learnings → docs/patterns/
```
### Activation Flow
1. **Explicit Command** : User types `/sc:implement`
- Loads `commands/sc/implement.md`
- Activates related agents (backend-architect, etc.)
2. **Agent Activation** : `@agent-security` or auto-detected
- Loads agent expertise context
- May activate related MCP servers
3. **Mode Application** : `--brainstorm` flag or keywords
- Modifies interaction style
- Enables specific behaviors
4. **PM Agent Meta-Layer** : Always active
- Monitors all interactions
- Documents learnings
- Preserves context across sessions
---
## Serena MCP Integration
### Memory Operations
Serena MCP provides semantic code analysis and session persistence through memory operations:
```
Session Start:
PM Agent → list_memories()
PM Agent → read_memory("pm_context")
PM Agent → read_memory("last_session")
PM Agent → read_memory("next_actions")
PM Agent → Report to User
During Work (every 30min):
PM Agent → write_memory("checkpoint", progress)
PM Agent → write_memory("decision", rationale)
Session End:
PM Agent → write_memory("last_session", summary)
PM Agent → write_memory("next_actions", todos)
PM Agent → write_memory("pm_context", complete_state)
```
### Memory Structure
```json
{
"pm_context": {
"project": "SuperClaude_Framework",
"current_phase": "Phase 1: Documentation",
"active_tasks": ["ARCHITECTURE.md", "ROADMAP.md"],
"architecture": "Context-Oriented Configuration",
"patterns": ["PDCA Cycle", "Session Lifecycle"]
},
"last_session": {
"date": "2025-10-14",
"accomplished": ["PM Agent mode design", "Salvaged implementations"],
"issues": ["Serena MCP not configured"],
"learned": ["Session Lifecycle pattern", "PDCA automation"]
},
"next_actions": [
2025-10-16 00:37:39 +09:00
"Create docs/development/ structure",
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
"Write ARCHITECTURE.md",
"Configure Serena MCP server"
]
}
```
---
## PDCA Engine
### Continuous Improvement Cycle
```
┌─────────────┐
│ Plan │ → write_memory("plan", goal)
│ (仮説) │ → docs/temp/hypothesis-YYYY-MM-DD.md
└──────┬──────┘
↓
┌─────────────┐
│ Do │ → TodoWrite tracking
│ (実験) │ → write_memory("checkpoint", progress)
└──────┬──────┘ → docs/temp/experiment-YYYY-MM-DD.md
↓
┌─────────────┐
│ Check │ → think_about_task_adherence()
│ (評価) │ → think_about_whether_you_are_done()
└──────┬──────┘ → docs/temp/lessons-YYYY-MM-DD.md
↓
┌─────────────┐
│ Act │ → Success: docs/patterns/[name].md
│ (改善) │ → Failure: docs/mistakes/mistake-*.md
└──────┬──────┘ → Update CLAUDE.md
↓
[Repeat]
```
### Documentation Evolution
```
Trial-and-Error (docs/temp/)
↓
Success → Formal Pattern (docs/patterns/)
↓
Accumulate Knowledge
↓
Extract Best Practices → CLAUDE.md (Global Rules)
```
```
Mistake Detection (docs/temp/)
↓
Root Cause Analysis → docs/mistakes/
↓
Prevention Checklist
↓
Update Anti-Patterns → CLAUDE.md
```
---
## Data Flow
### Session Lifecycle Data Flow
```
Session Start:
┌──────────────┐
│ Claude Code │
│ Startup │
└──────┬───────┘
↓
┌──────────────┐
│ PM Agent │ list_memories()
│ Activation │ read_memory("pm_context")
└──────┬───────┘
↓
┌──────────────┐
│ Serena │ Return: pm_context,
│ MCP │ last_session,
└──────┬───────┘ next_actions
↓
┌──────────────┐
│ Context │ Restore project state
│ Restoration │ Generate user report
└──────┬───────┘
↓
┌──────────────┐
│ User │ 前回: [summary]
│ Report │ 進捗: [status]
└──────────────┘ 今回: [actions]
課題: [blockers]
```
### Implementation Data Flow
```
User Request → PM Agent Analyzes
↓
PM Agent → Delegate to Specialist Agents
↓
Specialist Agents → Execute Implementation
↓
Implementation Complete → PM Agent Documents
↓
PM Agent → write_memory("checkpoint", progress)
PM Agent → docs/temp/experiment-*.md
↓
Success → docs/patterns/ | Failure → docs/mistakes/
↓
Update CLAUDE.md (if global pattern)
```
---
## Extension Points
### Adding New Components
#### 1. New Command
```markdown
File: ~/.claude/commands/sc/new-command.md
Structure:
- Metadata (name, category, complexity)
- Triggers (when to use)
- Workflow Pattern (step-by-step)
- Examples
Integration:
- Auto-loads when user types /sc:new-command
- Can activate related agents
- PM Agent automatically documents usage patterns
```
#### 2. New Agent
```markdown
File: ~/.claude/agents/new-specialist.md
Structure:
- Metadata (name, category)
- Triggers (keywords, file types)
- Behavioral Mindset
- Focus Areas
Integration:
- Auto-activates on trigger keywords
- Manual activation: @agent -new-specialist
- PM Agent orchestrates with other agents
```
#### 3. New Mode
```markdown
File: ~/.claude/MODE_NewMode.md
Structure:
- Activation Triggers (flags, keywords)
- Behavioral Modifications
- Interaction Patterns
Integration:
- Flag: --new-mode
- Auto-activation on complexity threshold
- Modifies all agent behaviors
```
#### 4. New MCP Server
```json
File: ~/.claude/.claude.json
{
"mcpServers": {
"new-server": {
"command": "npx",
"args": ["-y", "new-server-mcp@latest "]
}
}
}
```
```markdown
File: ~/.claude/MCP_NewServer.md
Structure:
- Purpose (what this server provides)
- Triggers (when to use)
- Integration (how to coordinate with other tools)
```
### PM Agent Integration for Extensions
All new components automatically integrate with PM Agent meta-layer:
1. **Session Lifecycle** : New components' usage tracked across sessions
2. **PDCA Cycle** : Patterns extracted from new component usage
3. **Documentation** : Learnings automatically documented
4. **Orchestration** : PM Agent coordinates new components with existing ones
---
## Architecture Principles
### 1. Simplicity First
- No executing code, only context files
- No performance systems, only instructional patterns
- No detection engines, Claude Code does pattern matching
### 2. Context-Oriented
- Behavior modification through structured context
- Import system for modular context loading
- Clear trigger patterns for activation
### 3. Meta-Layer Design
- PM Agent orchestrates without interfering
- Specialist agents work transparently
- Users interact with cohesive system
### 4. Knowledge Accumulation
- Every experience generates learnings
- Mistakes documented with prevention
- Patterns extracted to reusable knowledge
### 5. Session Continuity
- Context preserved across sessions
- No re-explanation needed
- Seamless resumption from last checkpoint
---
## Technical Considerations
### Performance
- Framework is pure context (no runtime overhead)
- Token efficiency through dynamic MCP loading
- Strategic context caching for related phases
### Scalability
- Unlimited commands/agents/modes through context files
- Modular architecture supports independent development
- PM Agent meta-layer handles coordination complexity
### Maintainability
- Clear separation of concerns (Commands/Agents/Modes)
- Self-documenting through PDCA cycle
- Living documentation evolves with usage
### Extensibility
- Drop-in new contexts without code changes
- MCP servers add capabilities externally
- PM Agent auto-integrates new components
---
## Future Architecture
### Planned Enhancements
1. **Auto-Activation System**
- PM Agent activates automatically at session start
- No manual invocation needed
2. **Enhanced Memory Operations**
- Full Serena MCP integration
- Cross-project knowledge sharing
- Pattern recognition across sessions
3. **PDCA Automation**
- Automatic documentation lifecycle
- AI-driven pattern extraction
- Self-improving knowledge base
4. **Multi-Project Orchestration**
- PM Agent coordinates across projects
- Shared learnings and patterns
- Unified knowledge management
---
## Summary
SuperClaude's architecture is elegantly simple: **structured context files** that Claude Code reads to adopt sophisticated behaviors. The addition of PM Agent mode as a meta-layer transforms this from a collection of tools into a **continuously learning, self-improving development platform** .
**Key Architectural Innovation**: PM Agent meta-layer provides:
- Always-active foundation layer
- Context preservation across sessions
- PDCA self-evaluation and learning
- Systematic knowledge management
- Seamless orchestration of specialist agents
This architecture enables SuperClaude to function as a **最高司令官 (Supreme Commander)** that orchestrates all development activities while continuously learning and improving from every interaction.
---
**Last Verified**: 2025-10-14
**Next Review**: 2025-10-21 (1 week)
**Version**: 4.1.5