3.1 KiB
3.1 KiB
description, category, complexity, mcp-servers, personas
| description | category | complexity | mcp-servers | personas | |||||
|---|---|---|---|---|---|---|---|---|---|
| Deep web research with adaptive planning and intelligent search | command | advanced |
|
|
/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
- Save reports to
claudedocs/research_[topic]_[timestamp].md - 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