SuperClaude/docs/Development/pm-agent-improvements.md

PM Agent Improvement Implementation - 2025-10-14

Implemented Improvements

1. Self-Correcting Execution (Root Cause First) ✅

Core Change: Never retry the same approach without understanding WHY it failed.

Implementation:

• 6-step error detection protocol
• Mandatory root cause investigation (context7, WebFetch, Grep, Read)
• Hypothesis formation before solution attempt
• Solution must be DIFFERENT from previous attempts
• Learning capture for future reference

Anti-Patterns Explicitly Forbidden:

• ❌ "エラーが出た。もう一回やってみよう"
• ❌ Retry 1, 2, 3 times with same approach
• ❌ "Warningあるけど動くからOK"

Correct Patterns Enforced:

• ✅ Error → Investigate official docs
• ✅ Understand root cause → Design different solution
• ✅ Document learning → Prevent future recurrence

2. Warning/Error Investigation Culture ✅

Core Principle: 全ての警告・エラーに興味を持って調査する

Implementation:

• Zero tolerance for dismissal
• Mandatory investigation protocol (context7 + WebFetch)
• Impact categorization (Critical/Important/Informational)
• Documentation requirement for all decisions

Quality Mindset:

• Warnings = Future technical debt
• "Works now" ≠ "Production ready"
• Thorough investigation = Higher code quality
• Every warning is a learning opportunity

3. Memory Key Schema (Standardized) ✅

Pattern: [category]/[subcategory]/[identifier]

Inspiration: Kubernetes namespaces, Git refs, Prometheus metrics

Categories Defined:

• session/: Session lifecycle management
• plan/: Planning phase (hypothesis, architecture, rationale)
• execution/: Do phase (experiments, errors, solutions)
• evaluation/: Check phase (analysis, metrics, lessons)
• learning/: Knowledge capture (patterns, solutions, mistakes)
• project/: Project understanding (context, architecture, conventions)

Benefits:

• Consistent naming across all memory operations
• Easy to query and retrieve related memories
• Clear organization for knowledge management
• Inspired by proven OSS practices

4. PDCA Document Structure (Normalized) ✅

Location: docs/pdca/[feature-name]/

Structure (明確・わかりやすい):

docs/pdca/[feature-name]/
  ├── plan.md    # Plan: 仮説・設計
  ├── do.md      # Do: 実験・試行錯誤  
  ├── check.md   # Check: 評価・分析
  └── act.md     # Act: 改善・次アクション

Templates Provided:

• plan.md: Hypothesis, Expected Outcomes, Risks
• do.md: Implementation log (時系列), Learnings
• check.md: Results vs Expectations, What worked/failed
• act.md: Success patterns, Global rule updates, Checklist updates

Lifecycle:

1. Start → Create plan.md
2. Work → Update do.md continuously
3. Complete → Create check.md
4. Success → Formalize to docs/patterns/ + create act.md
5. Failure → Move to docs/mistakes/ + create act.md with prevention

User Feedback Integration

Key Insights from User:

1. 同じ方法を繰り返すからループする → Root cause analysis mandatory
2. 警告を興味を持って調べる癖 → Zero tolerance culture implemented
3. スキーマ未定義なら定義すべき → Kubernetes-inspired schema added
4. plan/do/check/actでわかりやすい → PDCA structure normalized
5. OSS参考にアイデアをパクる → Kubernetes, Git, Prometheus patterns adopted

Philosophy Embedded:

• "間違いを理解してから再試行" (Understand before retry)
• "警告 = 将来の技術的負債" (Warnings = Future debt)
• "コード品質向上 = 徹底調査文化" (Quality = Investigation culture)
• "アイデアに著作権なし" (Ideas are free to adopt)

Expected Impact

Code Quality:

• ✅ Fewer repeated errors (root cause analysis)
• ✅ Proactive technical debt prevention (warning investigation)
• ✅ Higher test coverage and security compliance
• ✅ Consistent documentation and knowledge capture

Developer Experience:

• ✅ Clear PDCA structure (plan/do/check/act)
• ✅ Standardized memory keys (easy to use)
• ✅ Learning captured systematically
• ✅ Patterns reusable across projects

Long-term Benefits:

• ✅ Continuous improvement culture
• ✅ Knowledge accumulation over sessions
• ✅ Reduced time on repeated mistakes
• ✅ Higher quality autonomous execution

Next Steps

1. Test in Real Usage: Apply PM Agent to actual feature implementation
2. Validate Improvements: Measure error recovery cycles, warning handling
3. Iterate Based on Results: Refine based on real-world performance
4. Document Success Cases: Build example library of PDCA cycles
5. Upstream Contribution: After validation, contribute to SuperClaude

Files Modified

• superclaude/commands/pm.md:
  • Added "Self-Correcting Execution (Root Cause First)" section
  • Added "Warning/Error Investigation Culture" section
  • Added "Memory Key Schema (Standardized)" section
  • Added "PDCA Document Structure (Normalized)" section
  • ~260 lines of detailed implementation guidance

Implementation Quality

• ✅ User feedback directly incorporated
• ✅ Real-world practices from Kubernetes, Git, Prometheus
• ✅ Clear anti-patterns and correct patterns defined
• ✅ Concrete examples and templates provided
• ✅ Japanese and English mixed (user preference respected)
• ✅ Philosophical principles embedded in implementation

This improvement represents a fundamental shift from "retry on error" to "understand then solve" approach, which should dramatically improve PM Agent's code quality and learning capabilities.