--- 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 - 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