mirror of https://github.com/SuperClaude-Org/SuperClaude_Framework.git synced 2025-12-18 02:06:36 +00:00

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 08:47:09 +05:30

11 KiB

Raw Blame History

SuperClaude Development Roadmap

Last Updated: 2025-10-14 Version: 4.1.5

🎯 Vision

Transform SuperClaude into a self-improving development platform with PM Agent mode as the always-active meta-layer, enabling continuous context preservation, systematic knowledge management, and intelligent orchestration of all development activities.

📊 Phase Overview

Phase	Status	Timeline	Focus
Phase 1	✅ Completed	Week 1	Documentation Structure
Phase 2	🔄 In Progress	Week 2-3	PM Agent Mode Integration
Phase 3	⏳ Planned	Week 4-5	Serena MCP Integration
Phase 4	⏳ Planned	Week 6-7	Documentation Strategy
Phase 5	🔬 Research	Week 8+	Auto-Activation System

Phase 1: Documentation Structure ✅

Goal: Create comprehensive documentation foundation for development

Timeline: Week 1 (2025-10-14 ~ 2025-10-20)

Status: ✅ Completed

Tasks

Create docs/Development/ directory structure
Write ARCHITECTURE.md - System overview with PM Agent position
Write ROADMAP.md - Phase-based development plan with checkboxes
Write TASKS.md - Current task tracking system
Write PROJECT_STATUS.md - Implementation status dashboard
Write pm-agent-integration.md - Integration guide and procedures

Deliverables

docs/Development/ARCHITECTURE.md - Complete system architecture
docs/Development/ROADMAP.md - This file (development roadmap)
docs/Development/TASKS.md - Task management with checkboxes
docs/Development/PROJECT_STATUS.md - Current status and metrics
docs/Development/pm-agent-integration.md - Integration procedures

Success Criteria

Documentation structure established
Architecture clearly documented
Roadmap with phase breakdown complete
Task tracking system functional
Status dashboard provides visibility

Phase 2: PM Agent Mode Integration 🔄

Goal: Integrate PM Agent mode as always-active meta-layer

Timeline: Week 2-3 (2025-10-21 ~ 2025-11-03)

Status: 🔄 In Progress (30% complete)

Tasks

Documentation Updates

Update superclaude/Commands/pm.md with Session Lifecycle
Update superclaude/Agents/pm-agent.md with PDCA Cycle
Create docs/pm-agent-implementation-status.md
Update docs/User-Guide/agents.md - Add PM Agent section
Update docs/User-Guide/commands.md - Add /sc:pm command

Core Implementation

Implement superclaude/Core/session_lifecycle.py
- Session start hooks
- Context restoration logic
- User report generation
- Error handling and fallback
Implement superclaude/Core/pdca_engine.py
- Plan phase automation
- Do phase tracking
- Check phase self-evaluation
- Act phase documentation
Implement superclaude/Core/memory_ops.py
- Serena MCP wrapper
- Memory operation abstractions
- Checkpoint management
- Session state handling

Testing

Unit tests for session_lifecycle.py
Unit tests for pdca_engine.py
Unit tests for memory_ops.py
Integration tests for PM Agent flow
Test auto-activation at session start

Deliverables

Updated pm.md and pm-agent.md - Design documentation
pm-agent-implementation-status.md - Status tracking
superclaude/Core/session_lifecycle.py - Session management
superclaude/Core/pdca_engine.py - PDCA automation
superclaude/Core/memory_ops.py - Memory operations
tests/test_pm_agent.py - Comprehensive test suite

Success Criteria

PM Agent mode loads at session start
Session Lifecycle functional
PDCA Cycle automated
Memory operations working
All tests passing (>90% coverage)

Phase 3: Serena MCP Integration ⏳

Goal: Full Serena MCP integration for session persistence

Timeline: Week 4-5 (2025-11-04 ~ 2025-11-17)

Status: ⏳ Planned

Tasks

MCP Configuration

Install and configure Serena MCP server
Update ~/.claude/.claude.json with Serena config
Test basic Serena operations
Troubleshoot connection issues

Memory Operations Implementation

Implement list_memories() integration
Implement read_memory(key) integration
Implement write_memory(key, value) integration
Implement delete_memory(key) integration
Test memory persistence across sessions

Think Operations Implementation

Implement think_about_task_adherence() hook
Implement think_about_collected_information() hook
Implement think_about_whether_you_are_done() hook
Integrate with TodoWrite completion tracking
Test self-evaluation triggers

Cross-Session Testing

Test context restoration after restart
Test checkpoint save/restore
Test memory persistence durability
Test multi-project memory isolation
Performance testing (memory operations latency)

Deliverables

Serena MCP Server - Configured and operational
superclaude/Core/serena_client.py - Serena MCP client wrapper
superclaude/Core/think_operations.py - Think hooks implementation
docs/troubleshooting/serena-setup.md - Setup guide
tests/test_serena_integration.py - Integration test suite

Success Criteria

Serena MCP server operational
All memory operations functional
Think operations trigger correctly
Cross-session persistence verified
Performance acceptable (<100ms per operation)

Phase 4: Documentation Strategy ⏳

Goal: Implement systematic documentation lifecycle

Timeline: Week 6-7 (2025-11-18 ~ 2025-12-01)

Status: ⏳ Planned

Tasks

Directory Structure

Create docs/temp/ template structure
Create docs/patterns/ template structure
Create docs/mistakes/ template structure
Add README.md to each directory explaining purpose
Create .gitignore for temporary files

File Templates

Create hypothesis-template.md for Plan phase
Create experiment-template.md for Do phase
Create lessons-template.md for Check phase
Create pattern-template.md for successful patterns
Create mistake-template.md for error records

Lifecycle Automation

Implement 7-day temporary file cleanup
Create docs/temp → docs/patterns migration script
Create docs/temp → docs/mistakes migration script
Automate "Last Verified" date updates
Implement duplicate pattern detection

Knowledge Management

Implement pattern extraction logic
Implement CLAUDE.md auto-update mechanism
Create knowledge graph visualization
Implement pattern search functionality
Create mistake prevention checklist generator

Deliverables

docs/temp/, docs/patterns/, docs/mistakes/ - Directory templates
superclaude/Core/doc_lifecycle.py - Lifecycle automation
superclaude/Core/knowledge_manager.py - Knowledge extraction
scripts/migrate_docs.py - Migration utilities
tests/test_doc_lifecycle.py - Lifecycle test suite

Success Criteria

Directory templates functional
Lifecycle automation working
Migration scripts reliable
Knowledge extraction accurate
CLAUDE.md auto-updates verified

Phase 5: Auto-Activation System 🔬

Goal: PM Agent activates automatically at every session start

Timeline: Week 8+ (2025-12-02 onwards)

Status: 🔬 Research Needed

Research Phase

Research Claude Code initialization hooks
Investigate session start event handling
Study existing auto-activation patterns
Analyze Claude Code plugin system (if available)
Review Anthropic documentation on extensibility

Tasks

Hook Implementation

Identify session start hook mechanism
Implement PM Agent auto-activation hook
Test activation timing and reliability
Handle edge cases (crash recovery, etc.)
Performance optimization (minimize startup delay)

Context Restoration

Implement automatic context loading
Test memory restoration at startup
Verify user report generation
Handle missing or corrupted memory
Graceful fallback for new sessions

Integration Testing

Test across multiple sessions
Test with different project contexts
Test memory persistence durability
Test error recovery mechanisms
Performance testing (startup time impact)

Deliverables

superclaude/Core/auto_activation.py - Auto-activation system
docs/Developer-Guide/auto-activation.md - Implementation guide
tests/test_auto_activation.py - Auto-activation tests
Performance Report - Startup time impact analysis

Success Criteria

PM Agent activates at every session start
Context restoration reliable (>99%)
User report generated consistently
Startup delay minimal (<500ms)
Error recovery robust

🚀 Future Enhancements (Post-Phase 5)

Multi-Project Orchestration

Cross-project knowledge sharing
Unified pattern library
Multi-project context switching
Project-specific memory namespaces

AI-Driven Pattern Recognition

Machine learning for pattern extraction
Automatic best practice identification
Predictive mistake prevention
Smart knowledge graph generation

Enhanced Self-Evaluation

Advanced think operations
Quality scoring automation
Performance regression detection
Code quality trend analysis

Community Features

Pattern sharing marketplace
Community knowledge contributions
Collaborative PDCA cycles
Public pattern library

📊 Metrics & KPIs

Phase Completion Metrics

Metric	Target	Current	Status
Documentation Coverage	100%	40%	🔄 In Progress
PM Agent Integration	100%	30%	🔄 In Progress
Serena MCP Integration	100%	0%	⏳ Pending
Documentation Strategy	100%	0%	⏳ Pending
Auto-Activation	100%	0%	🔬 Research

Quality Metrics

Metric	Target	Current	Status
Test Coverage	>90%	0%	⏳ Pending
Context Restoration Rate	100%	N/A	⏳ Pending
Session Continuity	>95%	N/A	⏳ Pending
Documentation Freshness	<7 days	N/A	⏳ Pending
Mistake Prevention	<10% recurring	N/A	⏳ Pending

🔄 Update Schedule

Weekly: Task progress updates
Bi-weekly: Phase milestone reviews
Monthly: Roadmap revision and priority adjustment
Quarterly: Long-term vision alignment

Last Verified: 2025-10-14 Next Review: 2025-10-21 (1 week) Version: 4.1.5

11 KiB Raw Blame History

SuperClaude Development Roadmap

🎯 Vision

📊 Phase Overview

Phase 1: Documentation Structure ✅

Tasks

Deliverables

Success Criteria

Phase 2: PM Agent Mode Integration 🔄

Tasks

Documentation Updates

Core Implementation

Testing

Deliverables

Success Criteria

Phase 3: Serena MCP Integration ⏳

Tasks

MCP Configuration

Memory Operations Implementation

Think Operations Implementation

Cross-Session Testing

Deliverables

Success Criteria

Phase 4: Documentation Strategy ⏳

Tasks

Directory Structure

File Templates

Lifecycle Automation

Knowledge Management

Deliverables

Success Criteria

Phase 5: Auto-Activation System 🔬

Research Phase

Tasks

Hook Implementation

Context Restoration

Integration Testing

Deliverables

Success Criteria

🚀 Future Enhancements (Post-Phase 5)

Multi-Project Orchestration

AI-Driven Pattern Recognition

Enhanced Self-Evaluation

Community Features

📊 Metrics & KPIs

Phase Completion Metrics

Quality Metrics

🔄 Update Schedule

11 KiB

Raw Blame History