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* refactor: PM Agent complete independence from external MCP servers ## Summary Implement graceful degradation to ensure PM Agent operates fully without any MCP server dependencies. MCP servers now serve as optional enhancements rather than required components. ## Changes ### Responsibility Separation (NEW) - **PM Agent**: Development workflow orchestration (PDCA cycle, task management) - **mindbase**: Memory management (long-term, freshness, error learning) - **Built-in memory**: Session-internal context (volatile) ### 3-Layer Memory Architecture with Fallbacks 1. **Built-in Memory** [OPTIONAL]: Session context via MCP memory server 2. **mindbase** [OPTIONAL]: Long-term semantic search via airis-mcp-gateway 3. **Local Files** [ALWAYS]: Core functionality in docs/memory/ ### Graceful Degradation Implementation - All MCP operations marked with [ALWAYS] or [OPTIONAL] - Explicit IF/ELSE fallback logic for every MCP call - Dual storage: Always write to local files + optionally to mindbase - Smart lookup: Semantic search (if available) → Text search (always works) ### Key Fallback Strategies **Session Start**: - mindbase available: search_conversations() for semantic context - mindbase unavailable: Grep docs/memory/*.jsonl for text-based lookup **Error Detection**: - mindbase available: Semantic search for similar past errors - mindbase unavailable: Grep docs/mistakes/ + solutions_learned.jsonl **Knowledge Capture**: - Always: echo >> docs/memory/patterns_learned.jsonl (persistent) - Optional: mindbase.store() for semantic search enhancement ## Benefits - ✅ Zero external dependencies (100% functionality without MCP) - ✅ Enhanced capabilities when MCPs available (semantic search, freshness) - ✅ No functionality loss, only reduced search intelligence - ✅ Transparent degradation (no error messages, automatic fallback) ## Related Research - Serena MCP investigation: Exposes tools (not resources), memory = markdown files - mindbase superiority: PostgreSQL + pgvector > Serena memory features - Best practices alignment: /Users/kazuki/github/airis-mcp-gateway/docs/mcp-best-practices.md 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * chore: add PR template and pre-commit config - Add structured PR template with Git workflow checklist - Add pre-commit hooks for secret detection and Conventional Commits - Enforce code quality gates (YAML/JSON/Markdown lint, shellcheck) NOTE: Execute pre-commit inside Docker container to avoid host pollution: docker compose exec workspace uv tool install pre-commit docker compose exec workspace pre-commit run --all-files 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * docs: update PM Agent context with token efficiency architecture - Add Layer 0 Bootstrap (150 tokens, 95% reduction) - Document Intent Classification System (5 complexity levels) - Add Progressive Loading strategy (5-layer) - Document mindbase integration incentive (38% savings) - Update with 2025-10-17 redesign details * refactor: PM Agent command with progressive loading - Replace auto-loading with User Request First philosophy - Add 5-layer progressive context loading - Implement intent classification system - Add workflow metrics collection (.jsonl) - Document graceful degradation strategy * fix: installer improvements Update installer logic for better reliability * docs: add comprehensive development documentation - Add architecture overview - Add PM Agent improvements analysis - Add parallel execution architecture - Add CLI install improvements - Add code style guide - Add project overview - Add install process analysis * docs: add research documentation Add LLM agent token efficiency research and analysis * docs: add suggested commands reference * docs: add session logs and testing documentation - Add session analysis logs - Add testing documentation * feat: migrate CLI to typer + rich for modern UX ## What Changed ### New CLI Architecture (typer + rich) - Created `superclaude/cli/` module with modern typer-based CLI - Replaced custom UI utilities with rich native features - Added type-safe command structure with automatic validation ### Commands Implemented - **install**: Interactive installation with rich UI (progress, panels) - **doctor**: System diagnostics with rich table output - **config**: API key management with format validation ### Technical Improvements - Dependencies: Added typer>=0.9.0, rich>=13.0.0, click>=8.0.0 - Entry Point: Updated pyproject.toml to use `superclaude.cli.app:cli_main` - Tests: Added comprehensive smoke tests (11 passed) ### User Experience Enhancements - Rich formatted help messages with panels and tables - Automatic input validation with retry loops - Clear error messages with actionable suggestions - Non-interactive mode support for CI/CD ## Testing ```bash uv run superclaude --help # ✓ Works uv run superclaude doctor # ✓ Rich table output uv run superclaude config show # ✓ API key management pytest tests/test_cli_smoke.py # ✓ 11 passed, 1 skipped ``` ## Migration Path - ✅ P0: Foundation complete (typer + rich + smoke tests) - 🔜 P1: Pydantic validation models (next sprint) - 🔜 P2: Enhanced error messages (next sprint) - 🔜 P3: API key retry loops (next sprint) ## Performance Impact - **Code Reduction**: Prepared for -300 lines (custom UI → rich) - **Type Safety**: Automatic validation from type hints - **Maintainability**: Framework primitives vs custom code 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * refactor: consolidate documentation directories Merged claudedocs/ into docs/research/ for consistent documentation structure. Changes: - Moved all claudedocs/*.md files to docs/research/ - Updated all path references in documentation (EN/KR) - Updated RULES.md and research.md command templates - Removed claudedocs/ directory - Removed ClaudeDocs/ from .gitignore Benefits: - Single source of truth for all research reports - PEP8-compliant lowercase directory naming - Clearer documentation organization - Prevents future claudedocs/ directory creation 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * perf: reduce /sc:pm command output from 1652 to 15 lines - Remove 1637 lines of documentation from command file - Keep only minimal bootstrap message - 99% token reduction on command execution - Detailed specs remain in superclaude/agents/pm-agent.md 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * perf: split PM Agent into execution workflows and guide - Reduce pm-agent.md from 735 to 429 lines (42% reduction) - Move philosophy/examples to docs/agents/pm-agent-guide.md - Execution workflows (PDCA, file ops) stay in pm-agent.md - Guide (examples, quality standards) read once when needed Token savings: - Agent loading: ~6K → ~3.5K tokens (42% reduction) - Total with pm.md: 71% overall reduction 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * refactor: consolidate PM Agent optimization and pending changes PM Agent optimization (already committed separately): - superclaude/commands/pm.md: 1652→14 lines - superclaude/agents/pm-agent.md: 735→429 lines - docs/agents/pm-agent-guide.md: new guide file Other pending changes: - setup: framework_docs, mcp, logger, remove ui.py - superclaude: __main__, cli/app, cli/commands/install - tests: test_ui updates - scripts: workflow metrics analysis tools - docs/memory: session state updates 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * refactor: simplify MCP installer to unified gateway with legacy mode ## Changes ### MCP Component (setup/components/mcp.py) - Simplified to single airis-mcp-gateway by default - Added legacy mode for individual official servers (sequential-thinking, context7, magic, playwright) - Dynamic prerequisites based on mode: - Default: uv + claude CLI only - Legacy: node (18+) + npm + claude CLI - Removed redundant server definitions ### CLI Integration - Added --legacy flag to setup/cli/commands/install.py - Added --legacy flag to superclaude/cli/commands/install.py - Config passes legacy_mode to component installer ## Benefits - ✅ Simpler: 1 gateway vs 9+ individual servers - ✅ Lighter: No Node.js/npm required (default mode) - ✅ Unified: All tools in one gateway (sequential-thinking, context7, magic, playwright, serena, morphllm, tavily, chrome-devtools, git, puppeteer) - ✅ Flexible: --legacy flag for official servers if needed ## Usage ```bash superclaude install # Default: airis-mcp-gateway (推奨) superclaude install --legacy # Legacy: individual official servers ``` 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * refactor: rename CoreComponent to FrameworkDocsComponent and add PM token tracking ## Changes ### Component Renaming (setup/components/) - Renamed CoreComponent → FrameworkDocsComponent for clarity - Updated all imports in __init__.py, agents.py, commands.py, mcp_docs.py, modes.py - Better reflects the actual purpose (framework documentation files) ### PM Agent Enhancement (superclaude/commands/pm.md) - Added token usage tracking instructions - PM Agent now reports: 1. Current token usage from system warnings 2. Percentage used (e.g., "27% used" for 54K/200K) 3. Status zone: 🟢 <75% | 🟡 75-85% | 🔴 >85% - Helps prevent token exhaustion during long sessions ### UI Utilities (setup/utils/ui.py) - Added new UI utility module for installer - Provides consistent user interface components ## Benefits - ✅ Clearer component naming (FrameworkDocs vs Core) - ✅ PM Agent token awareness for efficiency - ✅ Better visual feedback with status zones 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * refactor(pm-agent): minimize output verbosity (471→284 lines, 40% reduction) **Problem**: PM Agent generated excessive output with redundant explanations - "System Status Report" with decorative formatting - Repeated "Common Tasks" lists user already knows - Verbose session start/end protocols - Duplicate file operations documentation **Solution**: Compress without losing functionality - Session Start: Reduced to symbol-only status (🟢 branch | nM nD | token%) - Session End: Compressed to essential actions only - File Operations: Consolidated from 2 sections to 1 line reference - Self-Improvement: 5 phases → 1 unified workflow - Output Rules: Explicit constraints to prevent Claude over-explanation **Quality Preservation**: - ✅ All core functions retained (PDCA, memory, patterns, mistakes) - ✅ PARALLEL Read/Write preserved (performance critical) - ✅ Workflow unchanged (session lifecycle intact) - ✅ Added output constraints (prevents verbose generation) **Reduction Method**: - Deleted: Explanatory text, examples, redundant sections - Retained: Action definitions, file paths, core workflows - Added: Explicit output constraints to enforce minimalism **Token Impact**: 40% reduction in agent documentation size **Before**: Verbose multi-section report with task lists **After**: Single line status: 🟢 integration | 15M 17D | 36% 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * refactor: consolidate MCP integration to unified gateway **Changes**: - Remove individual MCP server docs (superclaude/mcp/*.md) - Remove MCP server configs (superclaude/mcp/configs/*.json) - Delete MCP docs component (setup/components/mcp_docs.py) - Simplify installer (setup/core/installer.py) - Update components for unified gateway approach **Rationale**: - Unified gateway (airis-mcp-gateway) provides all MCP servers - Individual docs/configs no longer needed (managed centrally) - Reduces maintenance burden and file count - Simplifies installation process **Files Removed**: 17 MCP files (docs + configs) **Installer Changes**: Removed legacy MCP installation logic 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * chore: update version and component metadata - Bump version (pyproject.toml, setup/__init__.py) - Update CLAUDE.md import service references - Reflect component structure changes 🤖 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>
103 lines
3.1 KiB
Markdown
103 lines
3.1 KiB
Markdown
---
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name: research
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description: Deep web research with adaptive planning and intelligent search
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category: command
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complexity: advanced
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mcp-servers: [tavily, sequential, playwright, serena]
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personas: [deep-research-agent]
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---
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# /sc:research - Deep Research Command
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> **Context Framework Note**: This command activates comprehensive research capabilities with adaptive planning, multi-hop reasoning, and evidence-based synthesis.
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## Triggers
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- Research questions beyond knowledge cutoff
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- Complex research questions
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- Current events and real-time information
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- Academic or technical research requirements
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- Market analysis and competitive intelligence
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## Context Trigger Pattern
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```
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/sc:research "[query]" [--depth quick|standard|deep|exhaustive] [--strategy planning|intent|unified]
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```
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## Behavioral Flow
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### 1. Understand (5-10% effort)
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- Assess query complexity and ambiguity
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- Identify required information types
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- Determine resource requirements
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- Define success criteria
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### 2. Plan (10-15% effort)
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- Select planning strategy based on complexity
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- Identify parallelization opportunities
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- Generate research question decomposition
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- Create investigation milestones
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### 3. TodoWrite (5% effort)
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- Create adaptive task hierarchy
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- Scale tasks to query complexity (3-15 tasks)
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- Establish task dependencies
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- Set progress tracking
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### 4. Execute (50-60% effort)
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- **Parallel-first searches**: Always batch similar queries
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- **Smart extraction**: Route by content complexity
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- **Multi-hop exploration**: Follow entity and concept chains
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- **Evidence collection**: Track sources and confidence
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### 5. Track (Continuous)
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- Monitor TodoWrite progress
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- Update confidence scores
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- Log successful patterns
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- Identify information gaps
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### 6. Validate (10-15% effort)
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- Verify evidence chains
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- Check source credibility
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- Resolve contradictions
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- Ensure completeness
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## Key Patterns
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### Parallel Execution
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- Batch all independent searches
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- Run concurrent extractions
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- Only sequential for dependencies
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### Evidence Management
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- Track search results
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- Provide clear citations when available
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- Note uncertainties explicitly
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### Adaptive Depth
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- **Quick**: Basic search, 1 hop, summary output
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- **Standard**: Extended search, 2-3 hops, structured report
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- **Deep**: Comprehensive search, 3-4 hops, detailed analysis
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- **Exhaustive**: Maximum depth, 5 hops, complete investigation
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## MCP Integration
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- **Tavily**: Primary search and extraction engine
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- **Sequential**: Complex reasoning and synthesis
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- **Playwright**: JavaScript-heavy content extraction
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- **Serena**: Research session persistence
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## Output Standards
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- Save reports to `docs/research/[topic]_[timestamp].md`
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- Include executive summary
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- Provide confidence levels
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- List all sources with citations
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## Examples
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```
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/sc:research "latest developments in quantum computing 2024"
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/sc:research "competitive analysis of AI coding assistants" --depth deep
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/sc:research "best practices for distributed systems" --strategy unified
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```
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## Boundaries
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**Will**: Current information, intelligent search, evidence-based analysis
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**Won't**: Make claims without sources, skip validation, access restricted content |