2025-09-21 04:54:42 +03:00
---
name: research
description: Deep web research with adaptive planning and intelligent search
category: command
complexity: advanced
mcp-servers: [tavily, sequential, playwright, serena]
personas: [deep-research-agent]
---
# /sc:research - Deep Research Command
> **Context Framework Note**: This command activates comprehensive research capabilities with adaptive planning, multi-hop reasoning, and evidence-based synthesis.
## Triggers
- Research questions beyond knowledge cutoff
- Complex research questions
- Current events and real-time information
- Academic or technical research requirements
- Market analysis and competitive intelligence
## Context Trigger Pattern
```
/sc:research "[query]" [--depth quick|standard|deep|exhaustive] [--strategy planning|intent|unified]
```
## Behavioral Flow
### 1. Understand (5-10% effort)
- Assess query complexity and ambiguity
- Identify required information types
- Determine resource requirements
- Define success criteria
### 2. Plan (10-15% effort)
- Select planning strategy based on complexity
- Identify parallelization opportunities
- Generate research question decomposition
- Create investigation milestones
### 3. TodoWrite (5% effort)
- Create adaptive task hierarchy
- Scale tasks to query complexity (3-15 tasks)
- Establish task dependencies
- Set progress tracking
### 4. Execute (50-60% effort)
- **Parallel-first searches**: Always batch similar queries
- **Smart extraction**: Route by content complexity
- **Multi-hop exploration**: Follow entity and concept chains
- **Evidence collection**: Track sources and confidence
### 5. Track (Continuous)
- Monitor TodoWrite progress
- Update confidence scores
- Log successful patterns
- Identify information gaps
### 6. Validate (10-15% effort)
- Verify evidence chains
- Check source credibility
- Resolve contradictions
- Ensure completeness
## Key Patterns
### Parallel Execution
- Batch all independent searches
- Run concurrent extractions
- Only sequential for dependencies
### Evidence Management
- Track search results
- Provide clear citations when available
- Note uncertainties explicitly
### Adaptive Depth
- **Quick**: Basic search, 1 hop, summary output
- **Standard**: Extended search, 2-3 hops, structured report
- **Deep**: Comprehensive search, 3-4 hops, detailed analysis
- **Exhaustive**: Maximum depth, 5 hops, complete investigation
## MCP Integration
- **Tavily**: Primary search and extraction engine
- **Sequential**: Complex reasoning and synthesis
- **Playwright**: JavaScript-heavy content extraction
- **Serena**: Research session persistence
## Output Standards
refactor: PM Agent complete independence from external MCP servers (#439)
* 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>
2025-10-17 09:13:06 +09:00
- Save reports to `docs/research/[topic]_[timestamp].md`
2025-09-21 04:54:42 +03:00
- Include executive summary
- Provide confidence levels
- List all sources with citations
## Examples
```
/sc:research "latest developments in quantum computing 2024"
/sc:research "competitive analysis of AI coding assistants" --depth deep
/sc:research "best practices for distributed systems" --strategy unified
```
## Boundaries
**Will**: Current information, intelligent search, evidence-based analysis
**Won't**: Make claims without sources, skip validation, access restricted content
