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>
This commit is contained in:
kazuki nakai
2025-10-14 12:17:09 +09:00
committed by GitHub
parent 302c5851b1
commit 050d5ea2ab
194 changed files with 9698 additions and 3693 deletions

View File

@@ -0,0 +1,341 @@
# PM Agent - Ideal Autonomous Workflow
> **目的**: 何百回も同じ指示を繰り返さないための自律的オーケストレーションシステム
## 🎯 解決すべき問題
### 現状の課題
- **繰り返し指示**: 同じことを何百回も説明している
- **同じミスの反復**: 一度間違えたことを再度間違える
- **知識の喪失**: セッションが途切れると学習内容が失われる
- **コンテキスト制限**: 限られたコンテキストで効率的に動作できていない
### あるべき姿
**自律的で賢いPM Agent** - ドキュメントから学び、計画し、実行し、検証し、学習を記録するループ
---
## 📋 完璧なワークフロー(理想形)
### Phase 1: 📖 状況把握Context Restoration
```yaml
1. ドキュメント読み込み:
優先順位:
1. タスク管理ドキュメント → 進捗確認
- docs/Development/tasks/current-tasks.md
- 前回どこまでやったか
- 次に何をすべきか
2. アーキテクチャドキュメント → 仕組み理解
- docs/Development/architecture-*.md
- このプロジェクトの構造
- インストールフロー
- コンポーネント連携
3. 禁止事項・ルール → 制約確認
- CLAUDE.mdグローバル
- PROJECT/CLAUDE.mdプロジェクト固有
- docs/Development/constraints.md
4. 過去の学び → 同じミスを防ぐ
- docs/mistakes/ (失敗記録)
- docs/patterns/ (成功パターン)
2. ユーザーリクエスト理解:
- 何をしたいのか
- どこまで進んでいるのか
- 何が課題なのか
```
### Phase 2: 🔍 調査・分析Research & Analysis
```yaml
1. 既存実装の理解:
# ソースコード側Git管理
- setup/components/*.py → インストールロジック
- superclaude/ → ランタイムロジック
- tests/ → テストパターン
# インストール後ユーザー環境・Git管理外
- ~/.claude/commands/sc/ → 実際の配置確認
- ~/.claude/*.md → 現在の仕様確認
理解内容:
「なるほど、ここでこう処理されて、
こういうファイルが ~/.claude/ に作られるのね」
2. ベストプラクティス調査:
# Deep Research活用
- 公式リファレンス確認
- 他プロジェクトの実装調査
- 最新のベストプラクティス
気づき:
- 「ここ無駄だな」
- 「ここ古いな」
- 「これはいい実装だな」
- 「この共通化できるな」
3. 重複・改善ポイント発見:
- ライブラリの共通化可能性
- 重複実装の検出
- コード品質向上余地
```
### Phase 3: 📝 計画立案Planning
```yaml
1. 改善仮説作成:
# このプロジェクト内でGit管理
File: docs/Development/hypothesis-YYYY-MM-DD.md
内容:
- 現状の問題点
- 改善案
- 期待される効果(トークン削減、パフォーマンス向上等)
- 実装方針
- 必要なテスト
2. ユーザーレビュー:
「こういうプランでこんなことをやろうと思っています」
提示内容:
- 調査結果のサマリー
- 改善提案(理由付き)
- 実装ステップ
- 期待される成果
ユーザー承認待ち → OK出たら実装へ
```
### Phase 4: 🛠️ 実装Implementation
```yaml
1. ソースコード修正:
# Git管理されているこのプロジェクトで作業
cd ~/github/SuperClaude_Framework
修正対象:
- setup/components/*.py → インストールロジック
- superclaude/ → ランタイム機能
- setup/data/*.json → 設定データ
# サブエージェント活用
- backend-architect: アーキテクチャ実装
- refactoring-expert: コード改善
- quality-engineer: テスト設計
2. 実装記録:
File: docs/Development/experiment-YYYY-MM-DD.md
内容:
- 試行錯誤の記録
- 遭遇したエラー
- 解決方法
- 気づき
```
### Phase 5: ✅ 検証Validation
```yaml
1. テスト作成・実行:
# テストを書く
Write tests/test_new_feature.py
# テスト実行
pytest tests/test_new_feature.py -v
# ユーザー要求を満たしているか確認
- 期待通りの動作か?
- エッジケースは?
- パフォーマンスは?
2. エラー時の対応:
エラー発生
公式リファレンス確認
「このエラー何でだろう?」
「ここの定義違ってたんだ」
修正
再テスト
合格まで繰り返し
3. 動作確認:
# インストールして実際の環境でテスト
SuperClaude install --dev
# 動作確認
claude # 起動して実際に試す
```
### Phase 6: 📚 学習記録Learning Documentation
```yaml
1. 成功パターン記録:
File: docs/patterns/[pattern-name].md
内容:
- どんな問題を解決したか
- どう実装したか
- なぜこのアプローチか
- 再利用可能なパターン
2. 失敗・ミス記録:
File: docs/mistakes/mistake-YYYY-MM-DD.md
内容:
- どんなミスをしたか
- なぜ起きたか
- 防止策
- チェックリスト
3. タスク更新:
File: docs/Development/tasks/current-tasks.md
内容:
- 完了したタスク
- 次のタスク
- 進捗状況
- ブロッカー
4. グローバルパターン更新:
必要に応じて:
- CLAUDE.md更新グローバルルール
- PROJECT/CLAUDE.md更新プロジェクト固有
```
### Phase 7: 🔄 セッション保存Session Persistence
```yaml
1. Serenaメモリー保存:
write_memory("session_summary", 完了内容)
write_memory("next_actions", 次のアクション)
write_memory("learnings", 学んだこと)
2. ドキュメント整理:
- docs/temp/ → docs/patterns/ or docs/mistakes/
- 一時ファイル削除
- 正式ドキュメント更新
```
---
## 🔧 活用可能なツール・リソース
### MCPサーバーフル活用
- **Sequential**: 複雑な分析・推論
- **Context7**: 公式ドキュメント参照
- **Tavily**: Deep Researchベストプラクティス調査
- **Serena**: セッション永続化、メモリー管理
- **Playwright**: E2Eテスト、動作確認
- **Morphllm**: 一括コード変換
- **Magic**: UI生成必要時
- **Chrome DevTools**: パフォーマンス測定
### サブエージェント(適材適所)
- **requirements-analyst**: 要件整理
- **system-architect**: アーキテクチャ設計
- **backend-architect**: バックエンド実装
- **refactoring-expert**: コード改善
- **security-engineer**: セキュリティ検証
- **quality-engineer**: テスト設計・実行
- **performance-engineer**: パフォーマンス最適化
- **technical-writer**: ドキュメント執筆
### 他プロジェクト統合
- **makefile-global**: Makefile標準化パターン
- **airis-mcp-gateway**: MCPゲートウェイ統合
- その他有用なパターンは積極的に取り込む
---
## 🎯 重要な原則
### Git管理の区別
```yaml
✅ Git管理されている変更追跡可能:
- ~/github/SuperClaude_Framework/
- ここで全ての変更を行う
- コミット履歴で追跡
- PR提出可能
❌ Git管理外変更追跡不可:
- ~/.claude/
- 読むだけ、理解のみ
- テスト時のみ一時変更(必ず戻す!)
```
### テスト時の注意
```bash
# テスト前: 必ずバックアップ
cp ~/.claude/commands/sc/pm.md ~/.claude/commands/sc/pm.md.backup
# テスト実行
# ... 検証 ...
# テスト後: 必ず復元!!
mv ~/.claude/commands/sc/pm.md.backup ~/.claude/commands/sc/pm.md
```
### ドキュメント構造
```
docs/
├── Development/ # 開発用ドキュメント
│ ├── tasks/ # タスク管理
│ ├── architecture-*.md # アーキテクチャ
│ ├── constraints.md # 制約・禁止事項
│ ├── hypothesis-*.md # 改善仮説
│ └── experiment-*.md # 実験記録
├── patterns/ # 成功パターン(清書後)
├── mistakes/ # 失敗記録と防止策
└── (既存のUser-Guide等)
```
---
## 🚀 実装優先度
### Phase 1必須
1. ドキュメント構造整備
2. タスク管理システム
3. セッション復元ワークフロー
### Phase 2重要
4. 自己評価・検証ループ
5. 学習記録自動化
6. エラー時再学習フロー
### Phase 3強化
7. PMO機能重複検出、共通化提案
8. パフォーマンス測定・改善
9. 他プロジェクト統合
---
## 📊 成功指標
### 定量的指標
- **繰り返し指示の削減**: 同じ指示 → 50%削減目標
- **ミス再発率**: 同じミス → 80%削減目標
- **セッション復元時間**: <30秒で前回の続きから開始
### 定性的指標
- ユーザーが「前回の続きから」と言うだけで再開できる
- 過去のミスを自動的に避けられる
- 公式ドキュメント参照が自動化されている
- 実装→テスト→検証が自律的に回る
---
## 💡 次のアクション
このドキュメント作成後:
1. 既存のインストールロジック理解setup/components/
2. タスク管理ドキュメント作成docs/Development/tasks/
3. PM Agent実装修正このワークフローを実際に実装
このドキュメント自体が**PM Agentの憲法**となる。