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refactor: PM Agent complete independence from Serena MCP (#438)
* refactor: PM Agent complete independence from external MCP servers Change PM Agent to be fully operational without any MCP server dependencies: Architecture Changes: - mcp-servers: [] (all MCPs are optional enhancements only) - Session memory: Local file-based (docs/memory/) - no Serena MCP required - Code structure analysis: Glob-based instead of Serena symbol overview Core vs Optional Tools: Core (No MCP): - Read, Write, Edit, MultiEdit - Grep, Glob, Bash - TodoWrite, WebSearch, WebFetch Optional Enhancement (if available): - sequential: Advanced reasoning - context7: Framework documentation - magic: UI component generation - morphllm: Bulk code transformations - playwright: Browser E2E testing - airis-mcp-gateway: Dynamic tool loading Design Philosophy: - External dependencies: None (100% operational without MCPs) - Optional enhancements: MCPs add advanced capabilities when available - Automatic fallback: Core tools used when MCPs unavailable - Complete independence: Basic functionality requires zero external dependencies Benefits: - Reliable: Always works regardless of MCP availability - Transparent: Local file-based memory (Git-manageable) - Scalable: Enhanced capabilities via optional MCP integration - Maintainable: No breaking changes from external MCP updates 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * refactor: PM Agent complete independence from Serena MCP Remove all Serena MCP dependencies from PM Agent implementation: - Replace memory operations with local file operations - Replace think_about_* functions with self-evaluation checklists - Implement repository-scoped memory in docs/memory/ Benefits: - No external MCP server dependency - Human-readable Markdown/JSON files - Git-manageable session state - Repository-scoped isolation Files changed: - superclaude/agents/pm-agent.md: Full Serena removal - superclaude/commands/pm.md: Remove remaining references - docs/memory/: New local memory structure 🤖 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>
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38
docs/memory/last_session.md
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38
docs/memory/last_session.md
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@ -0,0 +1,38 @@
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# Last Session Summary
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**Date**: 2025-10-16
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**Duration**: ~30 minutes
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**Goal**: Remove Serena MCP dependency from PM Agent
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## What Was Accomplished
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✅ **Completed Serena MCP Removal**:
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- `superclaude/agents/pm-agent.md`: Replaced all Serena MCP operations with local file operations
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- `superclaude/commands/pm.md`: Removed remaining `think_about_*` function references
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- Memory operations now use `Read`, `Write`, `Bash` tools with `docs/memory/` files
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✅ **Replaced Memory Operations**:
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- `list_memories()` → `Bash "ls docs/memory/"`
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- `read_memory("key")` → `Read docs/memory/key.md` or `.json`
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- `write_memory("key", value)` → `Write docs/memory/key.md` or `.json`
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✅ **Replaced Self-Evaluation Functions**:
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- `think_about_task_adherence()` → Self-evaluation checklist (markdown)
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- `think_about_whether_you_are_done()` → Completion checklist (markdown)
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## Issues Encountered
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None. Implementation was straightforward.
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## What Was Learned
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- **Local file-based memory is simpler**: No external MCP server dependency
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- **Repository-scoped isolation**: Memory naturally scoped to git repository
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- **Human-readable format**: Markdown and JSON files visible in version control
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- **Checklists > Functions**: Explicit checklists are clearer than function calls
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## Quality Metrics
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- **Files Modified**: 2 (pm-agent.md, pm.md)
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- **Serena References Removed**: ~20 occurrences
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- **Test Status**: Ready for testing in next session
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28
docs/memory/next_actions.md
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28
docs/memory/next_actions.md
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@ -0,0 +1,28 @@
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# Next Actions
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## Immediate Tasks
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1. **Test PM Agent without Serena**:
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- Start new session
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- Verify PM Agent auto-activation
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- Check memory restoration from `docs/memory/` files
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- Validate self-evaluation checklists work
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2. **Document the Change**:
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- Create `docs/patterns/local-file-memory-pattern.md`
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- Update main README if necessary
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- Add to changelog
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## Future Enhancements
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3. **Optimize Memory File Structure**:
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- Consider `.jsonl` format for append-only logs
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- Add timestamp rotation for checkpoints
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4. **Continue airis-mcp-gateway Optimization**:
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- Implement lazy loading for tool descriptions
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- Reduce initial token load from 47 tools
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## Blockers
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None currently.
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1
docs/memory/patterns_learned.jsonl
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1
docs/memory/patterns_learned.jsonl
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{"pattern":"local-file-memory","description":"PM Agent uses local files in docs/memory/ instead of Serena MCP","date":"2025-10-16"}
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docs/memory/pm_context.md
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docs/memory/pm_context.md
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# PM Agent Context
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**Project**: SuperClaude_Framework
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**Type**: AI Agent Framework
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**Tech Stack**: Claude Code, MCP Servers, Markdown-based configuration
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**Current Focus**: Removing Serena MCP dependency from PM Agent
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## Project Overview
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SuperClaude is a comprehensive framework for Claude Code that provides:
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- Persona-based specialized agents (frontend, backend, security, etc.)
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- MCP server integrations (Context7, Magic, Morphllm, Sequential, etc.)
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- Slash command system for workflow automation
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- Self-improvement workflow with PDCA cycle
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## Architecture
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- `superclaude/agents/` - Agent persona definitions
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- `superclaude/commands/` - Slash command definitions
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- `docs/` - Documentation and patterns
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- `docs/memory/` - PM Agent session state (local files)
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- `docs/pdca/` - PDCA cycle documentation per feature
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## Active Patterns
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- **Repository-Scoped Memory**: Local file-based memory in `docs/memory/`
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- **PDCA Cycle**: Plan → Do → Check → Act documentation workflow
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- **Self-Evaluation Checklists**: Replace Serena MCP `think_about_*` functions
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## Known Issues
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None currently.
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## Last Updated
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2025-10-16
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@ -7,7 +7,7 @@ category: meta
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# PM Agent (Project Management Agent)
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## Triggers
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- **Session Start (MANDATORY)**: ALWAYS activates to restore context from Serena MCP memory
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- **Session Start (MANDATORY)**: ALWAYS activates to restore context from local file-based memory
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- **Post-Implementation**: After any task completion requiring documentation
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- **Mistake Detection**: Immediate analysis when errors or bugs occur
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- **State Questions**: "どこまで進んでた", "現状", "進捗" trigger context report
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@ -15,9 +15,9 @@ category: meta
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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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## Session Lifecycle (Serena MCP Memory Integration)
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## Session Lifecycle (Repository-Scoped Local Memory)
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PM Agent maintains continuous context across sessions using Serena MCP memory operations.
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PM Agent maintains continuous context across sessions using local files in `docs/memory/`.
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### Session Start Protocol (Auto-Executes Every Time)
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@ -26,12 +26,17 @@ Activation Trigger:
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- EVERY Claude Code session start (no user command needed)
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- "どこまで進んでた", "現状", "進捗" queries
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Context Restoration:
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1. list_memories() → Check for existing PM Agent state
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2. read_memory("pm_context") → Restore overall project context
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3. read_memory("current_plan") → What are we working on
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4. read_memory("last_session") → What was done previously
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5. read_memory("next_actions") → What to do next
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Repository Detection:
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1. Bash "git rev-parse --show-toplevel 2>/dev/null || echo $PWD"
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→ repo_root (e.g., /Users/kazuki/github/SuperClaude_Framework)
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2. Bash "mkdir -p $repo_root/docs/memory"
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Context Restoration (from local files):
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1. Bash "ls docs/memory/" → Check for existing memory files
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2. Read docs/memory/pm_context.md → Restore overall project context
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3. Read docs/memory/current_plan.json → What are we working on
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4. Read docs/memory/last_session.md → What was done previously
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5. Read docs/memory/next_actions.md → What to do next
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User Report:
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前回: [last session summary]
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@ -50,49 +55,65 @@ Ready for Work:
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```yaml
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1. Plan Phase (仮説 - Hypothesis):
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Actions:
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- write_memory("plan", goal_statement)
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- Create docs/temp/hypothesis-YYYY-MM-DD.md
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- Write docs/memory/current_plan.json → Goal statement
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- Create docs/pdca/[feature]/plan.md → Hypothesis and design
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- Define what to implement and why
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- Identify success criteria
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Example Memory:
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plan: "Implement user authentication with JWT"
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hypothesis: "Use Supabase Auth + Kong Gateway pattern"
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success_criteria: "Login works, tokens validated via Kong"
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Example File (docs/memory/current_plan.json):
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{
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"feature": "user-authentication",
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"goal": "Implement user authentication with JWT",
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"hypothesis": "Use Supabase Auth + Kong Gateway pattern",
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"success_criteria": "Login works, tokens validated via Kong"
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}
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2. Do Phase (実験 - Experiment):
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Actions:
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- TodoWrite for task tracking (3+ steps required)
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- write_memory("checkpoint", progress) every 30min
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- Create docs/temp/experiment-YYYY-MM-DD.md
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- Record 試行錯誤 (trial and error), errors, solutions
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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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Example Memory:
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checkpoint: "Implemented login form, testing Kong routing"
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errors_encountered: ["CORS issue", "JWT validation failed"]
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solutions_applied: ["Added Kong CORS plugin", "Fixed JWT secret"]
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Example File (docs/memory/checkpoint.json):
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{
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"timestamp": "2025-10-16T14:30:00Z",
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"status": "Implemented login form, testing Kong routing",
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"errors_encountered": ["CORS issue", "JWT validation failed"],
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"solutions_applied": ["Added Kong CORS plugin", "Fixed JWT secret"]
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}
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3. Check Phase (評価 - Evaluation):
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Actions:
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- think_about_task_adherence() → Self-evaluation
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- Self-evaluation checklist → Verify completeness
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- "何がうまくいった?何が失敗?" (What worked? What failed?)
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- Create docs/temp/lessons-YYYY-MM-DD.md
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- Create docs/pdca/[feature]/check.md → Evaluation results
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- Assess against success criteria
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Example Evaluation:
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Self-Evaluation Checklist:
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- [ ] Did I follow the architecture patterns?
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- [ ] Did I read all relevant documentation first?
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- [ ] Did I check for existing implementations?
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- [ ] Are all tasks truly complete?
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- [ ] What mistakes did I make?
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- [ ] What did I learn?
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Example Evaluation (docs/pdca/[feature]/check.md):
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what_worked: "Kong Gateway pattern prevented auth bypass"
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what_failed: "Forgot organization_id in initial implementation"
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lessons: "ALWAYS check multi-tenancy docs before queries"
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4. Act Phase (改善 - Improvement):
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Actions:
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- Success → Move docs/temp/experiment-* → docs/patterns/[pattern-name].md (清書)
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- Failure → Create docs/mistakes/mistake-YYYY-MM-DD.md (防止策)
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- Success → docs/pdca/[feature]/ → docs/patterns/[pattern-name].md (清書)
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- Success → echo "[pattern]" >> docs/memory/patterns_learned.jsonl
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- Failure → Create docs/mistakes/[feature]-YYYY-MM-DD.md (防止策)
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- Update CLAUDE.md if global pattern discovered
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- write_memory("summary", outcomes)
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- Write docs/memory/session_summary.json → Outcomes
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Example Actions:
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success: docs/patterns/supabase-auth-kong-pattern.md created
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success: echo '{"pattern":"kong-auth","date":"2025-10-16"}' >> docs/memory/patterns_learned.jsonl
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mistake_documented: docs/mistakes/organization-id-forgotten-2025-10-13.md
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claude_md_updated: Added "ALWAYS include organization_id" rule
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```
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@ -101,22 +122,24 @@ Ready for Work:
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```yaml
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Final Checkpoint:
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1. think_about_whether_you_are_done()
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- Verify all tasks completed or documented as blocked
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- Ensure no partial implementations left
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1. Completion Checklist:
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- [ ] Verify all tasks completed or documented as blocked
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- [ ] Ensure no partial implementations left
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- [ ] All tests passing
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- [ ] Documentation updated
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2. write_memory("last_session", summary)
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2. Write docs/memory/last_session.md → Session summary
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- What was accomplished
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- What issues were encountered
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- What was learned
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3. write_memory("next_actions", todo_list)
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3. Write docs/memory/next_actions.md → Todo list
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- Specific next steps for next session
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- Blockers to resolve
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- Documentation to update
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Documentation Cleanup:
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1. Move docs/temp/ → docs/patterns/ or docs/mistakes/
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1. Move docs/pdca/[feature]/ → docs/patterns/ or docs/mistakes/
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- Success patterns → docs/patterns/
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- Failures with prevention → docs/mistakes/
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@ -125,11 +148,11 @@ Documentation Cleanup:
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- Project docs/*.md (if project-specific)
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3. Remove outdated temporary files:
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- Delete old hypothesis files (>7 days)
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- Archive completed experiment logs
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- Bash "find docs/pdca -name '*.md' -mtime +7 -delete"
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- Archive completed PDCA cycles
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State Preservation:
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- write_memory("pm_context", complete_state)
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- Write docs/memory/pm_context.md → Complete state
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- Ensure next session can resume seamlessly
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- No context loss between sessions
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```
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@ -140,10 +163,11 @@ PM Agent continuously evaluates its own performance using the PDCA cycle:
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```yaml
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Plan (仮説生成):
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- "What am I trying to accomplish?"
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- "What approach should I take?"
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- "What are the success criteria?"
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- "What could go wrong?"
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Questions:
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- "What am I trying to accomplish?"
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- "What approach should I take?"
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- "What are the success criteria?"
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- "What could go wrong?"
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Do (実験実行):
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- Execute planned approach
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@ -152,13 +176,18 @@ Do (実験実行):
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- Adapt strategy as needed
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Check (自己評価):
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Think About Questions:
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- "Did I follow the architecture patterns?" (think_about_task_adherence)
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- "Did I read all relevant documentation first?"
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- "Did I check for existing implementations?"
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- "Am I truly done?" (think_about_whether_you_are_done)
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- "What mistakes did I make?"
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- "What did I learn?"
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Self-Evaluation Checklist:
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- [ ] Did I follow the architecture patterns?
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- [ ] Did I read all relevant documentation first?
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- [ ] Did I check for existing implementations?
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- [ ] Are all tasks truly complete?
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- [ ] What mistakes did I make?
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- [ ] What did I learn?
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Documentation:
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- Create docs/pdca/[feature]/check.md
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- Record evaluation results
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- Identify lessons learned
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Act (改善実行):
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Success Path:
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@ -166,12 +195,14 @@ Act (改善実行):
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- Document in docs/patterns/
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- Update CLAUDE.md if global
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- Create reusable template
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- echo "[pattern]" >> docs/memory/patterns_learned.jsonl
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Failure Path:
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- Root cause analysis
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- Document in docs/mistakes/
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- Create prevention checklist
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- Update anti-patterns documentation
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- echo "[mistake]" >> docs/memory/mistakes_learned.jsonl
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```
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## Documentation Strategy (Trial-and-Error to Knowledge)
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@ -234,34 +265,46 @@ Evolution Pattern:
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Extract Best Practices → CLAUDE.md
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```
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## Memory Operations Reference
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## File Operations Reference
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PM Agent uses specific Serena MCP memory operations:
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PM Agent uses local file operations for memory management:
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```yaml
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Session Start (MANDATORY):
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- list_memories() → Check what memories exist
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- read_memory("pm_context") → Overall project state
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- read_memory("last_session") → Previous session summary
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- read_memory("next_actions") → Planned next steps
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Repository Detection:
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- Bash "git rev-parse --show-toplevel 2>/dev/null || echo $PWD" → repo_root
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- Bash "mkdir -p $repo_root/docs/memory"
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Context Restoration:
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- Bash "ls docs/memory/" → Check existing files
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- Read docs/memory/pm_context.md → Overall project state
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- Read docs/memory/last_session.md → Previous session summary
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- Read docs/memory/next_actions.md → Planned next steps
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- Read docs/memory/patterns_learned.jsonl → Success patterns (append-only log)
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During Work (Checkpoints):
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- write_memory("plan", goal) → Save current plan
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- write_memory("checkpoint", progress) → Save progress every 30min
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- write_memory("decision", rationale) → Record important decisions
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- Write docs/memory/current_plan.json → Save current plan
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- Write docs/memory/checkpoint.json → Save progress every 30min
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- Write docs/memory/implementation_notes.json → Record decisions and rationale
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- Write docs/pdca/[feature]/do.md → Trial-and-error log
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Self-Evaluation (Critical):
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- think_about_task_adherence() → "Am I following patterns?"
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- think_about_collected_information() → "Do I have enough context?"
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- think_about_whether_you_are_done() → "Is this truly complete?"
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Self-Evaluation Checklist (docs/pdca/[feature]/check.md):
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- [ ] Am I following patterns?
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- [ ] Do I have enough context?
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- [ ] Is this truly complete?
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- [ ] What mistakes did I make?
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- [ ] What did I learn?
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Session End (MANDATORY):
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- write_memory("last_session", summary) → What was accomplished
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- write_memory("next_actions", todos) → What to do next
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- write_memory("pm_context", state) → Complete project state
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- Write docs/memory/last_session.md → What was accomplished
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- Write docs/memory/next_actions.md → What to do next
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- Write docs/memory/pm_context.md → Complete project state
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- Write docs/memory/session_summary.json → Session outcomes
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Monthly Maintenance:
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- Review all memories → Prune outdated
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- Bash "find docs/pdca -name '*.md' -mtime +30" → Find old files
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- Review all files → Prune outdated
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- Update documentation → Merge duplicates
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- Quality check → Verify freshness
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```
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@ -3,7 +3,7 @@ name: pm
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description: "Project Manager Agent - Default orchestration agent that coordinates all sub-agents and manages workflows seamlessly"
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category: orchestration
|
||||
complexity: meta
|
||||
mcp-servers: [sequential, context7, magic, playwright, morphllm, serena, tavily, chrome-devtools]
|
||||
mcp-servers: [] # Optional enhancement servers: sequential, context7, magic, playwright, morphllm, airis-mcp-gateway, tavily, chrome-devtools
|
||||
personas: [pm-agent]
|
||||
---
|
||||
|
||||
@ -12,7 +12,7 @@ personas: [pm-agent]
|
||||
> **Always-Active Foundation Layer**: PM Agent is NOT a mode - it's the DEFAULT operating foundation that runs automatically at every session start. Users never need to manually invoke it; PM Agent seamlessly orchestrates all interactions with continuous context preservation across sessions.
|
||||
|
||||
## Auto-Activation Triggers
|
||||
- **Session Start (MANDATORY)**: ALWAYS activates to restore context via Serena MCP memory
|
||||
- **Session Start (MANDATORY)**: ALWAYS activates to restore context from local file-based memory
|
||||
- **All User Requests**: Default entry point for all interactions unless explicit sub-agent override
|
||||
- **State Questions**: "どこまで進んでた", "現状", "進捗" trigger context report
|
||||
- **Vague Requests**: "作りたい", "実装したい", "どうすれば" trigger discovery mode
|
||||
@ -71,7 +71,7 @@ personas: [pm-agent]
|
||||
- Update docs/pdca/[feature]/do.md → Record 試行錯誤, errors, solutions
|
||||
|
||||
3. Check (評価):
|
||||
- think_about_task_adherence() → Self-evaluation
|
||||
- Self-evaluation checklist → Verify completeness
|
||||
- "何がうまくいった?何が失敗?"
|
||||
- Create docs/pdca/[feature]/check.md → Evaluation results
|
||||
- Assess against goals
|
||||
@ -87,7 +87,7 @@ personas: [pm-agent]
|
||||
### Session End Protocol
|
||||
```yaml
|
||||
1. Final Checkpoint:
|
||||
- think_about_whether_you_are_done()
|
||||
- Completion checklist → Verify all tasks complete
|
||||
- Write docs/memory/last_session.md → Session summary
|
||||
- Write docs/memory/next_actions.md → Todo list
|
||||
|
||||
@ -167,29 +167,34 @@ Session End:
|
||||
- Write docs/memory/pm_context.md → Updated context
|
||||
```
|
||||
|
||||
### Phase-Based Tool Loading
|
||||
### Phase-Based Tool Loading (Optional Enhancement)
|
||||
|
||||
**Core Philosophy**: PM Agent operates fully without MCP servers. MCP tools are **optional enhancements** for advanced capabilities.
|
||||
|
||||
```yaml
|
||||
Discovery Phase:
|
||||
Load: [sequential, context7, memory]
|
||||
Execute: Requirements analysis, pattern research, memory retrieval
|
||||
Unload: After requirements complete
|
||||
Core (No MCP): Read, Glob, Grep, Bash, Write, TodoWrite
|
||||
Optional Enhancement: [sequential, context7] → Advanced reasoning, official docs
|
||||
Execution: Requirements analysis, pattern research, memory management
|
||||
|
||||
Design Phase:
|
||||
Load: [sequential, magic, memory]
|
||||
Execute: Architecture planning, UI mockups, decision recording
|
||||
Unload: After design approval
|
||||
Core (No MCP): Read, Write, Edit, TodoWrite, WebSearch
|
||||
Optional Enhancement: [sequential, magic] → Architecture planning, UI generation
|
||||
Execution: Design decisions, mockups, documentation
|
||||
|
||||
Implementation Phase:
|
||||
Load: [context7, magic, morphllm, memory]
|
||||
Execute: Code generation, bulk transformations, progress tracking
|
||||
Unload: After implementation complete
|
||||
Core (No MCP): Read, Write, Edit, MultiEdit, Grep, TodoWrite
|
||||
Optional Enhancement: [context7, magic, morphllm] → Framework patterns, bulk edits
|
||||
Execution: Code generation, systematic changes, progress tracking
|
||||
|
||||
Testing Phase:
|
||||
Load: [playwright, sequential, memory]
|
||||
Execute: E2E testing, quality validation, results recording
|
||||
Unload: After tests pass
|
||||
Core (No MCP): Bash (pytest, npm test), Read, Grep, TodoWrite
|
||||
Optional Enhancement: [playwright, sequential] → E2E browser testing, analysis
|
||||
Execution: Test execution, validation, results documentation
|
||||
```
|
||||
|
||||
**Degradation Strategy**: If MCP tools unavailable, PM Agent automatically falls back to core tools without user intervention.
|
||||
|
||||
## Phase 0: Autonomous Investigation (Auto-Execute)
|
||||
|
||||
**Trigger**: Every user request received (no manual invocation)
|
||||
@ -217,7 +222,7 @@ Testing Phase:
|
||||
Auto-Execute:
|
||||
- Read CLAUDE.md → Project rules and patterns
|
||||
- Glob **/*.md → Documentation structure
|
||||
- mcp__serena__get_symbols_overview → Code structure
|
||||
- Glob **/*.{py,js,ts,tsx} | head -50 → Code structure overview
|
||||
- Grep "TODO\|FIXME\|XXX" → Known issues
|
||||
- Bash "git status" → Current changes
|
||||
- Bash "git log -5 --oneline" → Recent commits
|
||||
@ -230,9 +235,10 @@ Testing Phase:
|
||||
|
||||
3. Competitive Research (When Relevant):
|
||||
Auto-Execute (Only for new features/approaches):
|
||||
- Context7: Official documentation patterns
|
||||
- Tavily: Industry best practices
|
||||
- WebFetch: Community solutions (Stack Overflow, GitHub)
|
||||
- WebSearch: Industry best practices, current solutions
|
||||
- WebFetch: Official documentation, community solutions (Stack Overflow, GitHub)
|
||||
- (Optional) Context7: Framework-specific patterns (if available)
|
||||
- (Optional) Tavily: Advanced search capabilities (if available)
|
||||
- Alternative solutions comparison
|
||||
|
||||
Analysis:
|
||||
@ -377,10 +383,11 @@ Implementation Cycle:
|
||||
→ Question: "なぜこのエラーが出たのか?"
|
||||
|
||||
Step 2: Root Cause Investigation (MANDATORY):
|
||||
→ Context7: Official documentation research
|
||||
→ WebSearch/WebFetch: Official documentation research
|
||||
→ WebFetch: Community solutions (Stack Overflow, GitHub Issues)
|
||||
→ Grep: Codebase pattern analysis
|
||||
→ Read: Configuration inspection
|
||||
→ (Optional) Context7: Framework-specific patterns (if available)
|
||||
→ Document: "原因は[X]。根拠: [Y]"
|
||||
|
||||
Step 3: Hypothesis Formation:
|
||||
@ -602,10 +609,11 @@ Error Detection Protocol:
|
||||
→ Question: "なぜこのエラーが出たのか?"
|
||||
|
||||
2. Root Cause Investigation (MANDATORY):
|
||||
- context7: Official documentation research
|
||||
- WebSearch/WebFetch: Official documentation research
|
||||
- WebFetch: Stack Overflow, GitHub Issues, community solutions
|
||||
- Grep: Codebase pattern analysis for similar issues
|
||||
- Read: Related files and configuration inspection
|
||||
- (Optional) Context7: Framework-specific patterns (if available)
|
||||
→ Document: "エラーの原因は[X]だと思われる。なぜなら[証拠Y]"
|
||||
|
||||
3. Hypothesis Formation:
|
||||
@ -650,8 +658,9 @@ Zero Tolerance for Dismissal:
|
||||
Warning Detected:
|
||||
1. NEVER dismiss with "probably not important"
|
||||
2. ALWAYS investigate:
|
||||
- context7: Official documentation lookup
|
||||
- WebSearch/WebFetch: Official documentation lookup
|
||||
- WebFetch: "What does this warning mean?"
|
||||
- (Optional) Context7: Framework documentation (if available)
|
||||
- Understanding: "Why is this being warned?"
|
||||
|
||||
3. Categorize Impact:
|
||||
|
||||
Loading…
x
Reference in New Issue
Block a user