SuperClaude/pr_documentation.md

Pull Request: Redesign PM Agent as Self-Improvement Meta-Layer

Summary

Redesigned PM Agent from task orchestration system to self-improvement workflow executor (meta-layer agent). PM Agent now complements existing auto-activation by systematically documenting implementations, analyzing mistakes, and maintaining knowledge base quality.

Motivation

Problem: Initial PM Agent design competed with existing auto-activation system for task routing, creating confusion about responsibilities and adding unnecessary complexity.

Solution: Redefined PM Agent as a meta-layer that operates AFTER specialist agents complete tasks, focusing on:

• Post-implementation documentation
• Immediate mistake analysis and prevention
• Monthly documentation maintenance
• Pattern extraction and knowledge synthesis

Value Proposition: Transforms SuperClaude into a continuously learning system that accumulates knowledge, prevents recurring mistakes, and maintains fresh documentation without manual intervention.

Changes

1. PM Agent Agent File (superclaude/Agents/pm-agent.md)

Status: Complete rewrite

Before:

• Category: orchestration
• Triggers: All user interactions (default mode)
• Role: Task router and sub-agent coordinator
• Competed with existing auto-activation

After:

• Category: meta
• Triggers: Post-implementation, mistake detection, monthly maintenance
• Role: Self-improvement workflow executor
• Complements existing auto-activation

Key Additions:

• Behavioral Mindset: "Think like a continuous learning system"
• Focus Areas: Implementation Documentation, Mistake Analysis, Pattern Recognition, Knowledge Maintenance, Self-Improvement Loop
• Self-Improvement Workflow Integration: BEFORE/DURING/AFTER/MISTAKE RECOVERY/MAINTENANCE phases
• Quality Standards: Latest, Minimal, Clear, Practical documentation criteria
• Performance Metrics: Documentation coverage, mistake prevention effectiveness, knowledge maintenance health

Workflow Examples:

1. Post-Implementation Documentation: Backend architect implements JWT → PM Agent documents pattern
2. Immediate Mistake Analysis: Kong Gateway bypass detected → PM Agent stops, analyzes, documents prevention
3. Monthly Documentation Maintenance: PM Agent prunes outdated docs, merges duplicates, updates versions

2. Framework Rules (superclaude/Core/RULES.md)

Status: Agent Orchestration section updated (lines 17-44)

Changes:

• Split orchestration into two clear layers:
  • Task Execution Layer: Existing auto-activation (unchanged)
  • Self-Improvement Layer: PM Agent meta-layer (new)
• Added orchestration flow diagram showing task execution → documentation cycle
• Clarified examples: ✅ Right patterns and ❌ Wrong anti-patterns
• Emphasized PM Agent activates AFTER task completion, not before/during

Purpose: Eliminate confusion between task routing (auto-activation) and learning (PM Agent)

3. README.md

Status: PM Agent description updated (line 208)

Before: "PM Agent orchestrates all interactions seamlessly"

After: "PM Agent ensures continuous learning through systematic documentation"

Impact: Accurate representation of PM Agent's meta-layer role in main documentation

4. Agents Guide (docs/User-Guide/agents.md)

Status: PM Agent section completely rewritten (lines 140-208)

Changes:

• Section title: "Orchestration Agent" → "Meta-Layer Agent"
• Expertise: Project orchestration → Self-improvement workflow executor
• Auto-Activation: Default mode for all interactions → Post-implementation, mistake detection, monthly maintenance
• Capabilities: Workflow orchestration → Implementation documentation, mistake analysis, pattern recognition, knowledge maintenance
• Examples: Vague feature requests → Post-implementation documentation, immediate mistake analysis, monthly maintenance
• Integration: Orchestrates entire ecosystem → Documents specialist agents' work

Purpose: User-facing documentation accurately reflects PM Agent's actual behavior

Two-Layer Orchestration System

┌─────────────────────────────────────────────────────────┐
│ Task Execution Layer (Existing Auto-Activation)         │
│ ─────────────────────────────────────────────────────── │
│ User Request → Context Analysis → Specialist Selection  │
│ backend-architect | frontend-architect | security, etc. │
│                                                          │
│ ↓ Implementation Complete ↓                             │
└─────────────────────────────────────────────────────────┘

┌─────────────────────────────────────────────────────────┐
│ Self-Improvement Layer (PM Agent Meta-Layer)            │
│ ─────────────────────────────────────────────────────── │
│ PM Agent Auto-Triggers → Documentation → Learning       │
│ Pattern Recording | Mistake Analysis | Maintenance      │
│                                                          │
│ ↓ Knowledge Base Updated ↓                              │
└─────────────────────────────────────────────────────────┘

Flow:

1. User: "Add JWT authentication"
2. Task Execution Layer: Auto-activation → security-engineer + backend-architect → Implementation
3. Self-Improvement Layer: PM Agent auto-triggers → Documents JWT pattern in docs/authentication.md → Records security decisions → Updates CLAUDE.md

Testing

Validation Method: Verified integration with existing self-improvement workflow

Test Case: agiletec project

• ✅ Reviewed /Users/kazuki/github/agiletec/docs/self-improvement-workflow.md
• ✅ Confirmed PM Agent design aligns with BEFORE/DURING/AFTER/MISTAKE RECOVERY phases
• ✅ Verified PM Agent complements (not competes with) existing workflow
• ✅ Confirmed agiletec workflow defines WHAT, PM Agent defines WHO executes it

Integration Check:

• ✅ PM Agent operates as meta-layer above specialist agents
• ✅ Existing auto-activation handles task routing (unchanged)
• ✅ PM Agent handles post-implementation documentation (new capability)
• ✅ No conflicts with existing agent activation patterns

Breaking Changes

None. This is a design clarification and documentation update:

• ✅ Existing auto-activation continues to work identically
• ✅ Specialist agents (backend-architect, frontend-architect, etc.) unchanged
• ✅ User workflows remain the same
• ✅ Manual @agent-[name] override still works
• ✅ Commands (/sc:implement, /sc:build, etc.) unchanged

New Capability: PM Agent now automatically documents implementations and maintains knowledge base without user intervention.

Impact on User Experience

Before:

• User requests task → Specialist agents implement → User manually documents (if at all)
• Mistakes repeated due to lack of systematic documentation
• Documentation becomes outdated over time

After:

• User requests task → Specialist agents implement → PM Agent auto-documents patterns
• Mistakes automatically analyzed with prevention checklists created
• Documentation systematically maintained through monthly reviews

Result: Zero additional user effort, continuous improvement built into framework

Verification Checklist

• PM Agent agent file completely rewritten with meta-layer design
• RULES.md Agent Orchestration section updated with two-layer system
• README.md PM Agent description updated
• agents.md PM Agent section completely rewritten
• Integration validated with agiletec project self-improvement workflow
• All files properly formatted and consistent
• No breaking changes to existing functionality
• Documentation accurately reflects implementation

Future Enhancements

Potential Additions (not included in this PR):

1. /sc:pm status - Show documentation coverage and maintenance health
2. /sc:pm review - Manual trigger for documentation review
3. Performance metrics dashboard - Track mistake prevention effectiveness
4. Integration with CI/CD - Auto-generate documentation on PR merge

These are OPTIONAL and should be separate PRs based on user feedback.

Related Issues

Addresses internal design discussion about PM Agent role clarity and integration with existing auto-activation system.

Reviewer Notes

Key Points to Review:

1. pm-agent.md: Complete rewrite - verify behavioral mindset, focus areas, and workflow examples make sense
2. RULES.md: Two-layer orchestration system - verify clear distinction between task execution and self-improvement
3. agents.md: User-facing documentation - verify accurate representation of PM Agent behavior
4. Integration: Verify PM Agent complements (not competes with) existing auto-activation

Expected Outcome: PM Agent transforms SuperClaude into a continuously learning system through systematic documentation, mistake analysis, and knowledge maintenance.

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PR Type: Enhancement (Design Clarification) Complexity: Medium (Documentation-focused, no code changes) Risk: Low (No breaking changes, purely additive capability)