Stats
Actions
Tags
'%20stop-opacity%3D'0.16'%2F%3E%3Cstop%20offset%3D'1'%20stop-color%3D'rgb(200%2C90%2C60)'%20stop-opacity%3D'0.03'%2F%3E%3C%2FlinearGradient%3E%3C%2Fdefs%3E%3Crect%20width%3D'320'%20height%3D'200'%20fill%3D'url(%23g)'%2F%3E%3Ccircle%20cx%3D'250'%20cy%3D'56'%20r%3D'92'%20fill%3D'rgb(200%2C90%2C60)'%20fill-opacity%3D'0.06'%2F%3E%3Ccircle%20cx%3D'64'%20cy%3D'172'%20r%3D'58'%20fill%3D'rgb(200%2C90%2C60)'%20fill-opacity%3D'0.05'%2F%3E%3C%2Fsvg%3E)
Performs deep semantic codebase research using ChunkHound analysis. Accepts a research question and returns structured findings with component citations and relationships.
How this command is triggered — by the user, by Claude, or both
Slash command
/chunkhound-integration:researchThe summary Claude sees in its command listing — used to decide when to auto-load this command
Use the `mcp__plugin_chunkhound-integration_ChunkHound__code_research` tool to investigate: $ARGUMENTS Present findings in a structured format with: 1. **Overview**: High-level answer to the question (2-3 sentences) 2. **Key Components**: Relevant files with `file:line` citations 3. **Relationships**: How components connect and interact 4. **Recommendations**: Suggested next steps or areas to explore If the MCP tool is unavailable, inform the user to check `/chunkhound-status` for diagnostics.
Use the mcp__plugin_chunkhound-integration_ChunkHound__code_research tool to investigate: $ARGUMENTS
Present findings in a structured format with:
file:line citationsIf the MCP tool is unavailable, inform the user to check /chunkhound-status for diagnostics.
npx claudepluginhub shopwarelabs/ai-coding-tools --plugin chunkhound-integration/researchRoutes codebase research queries to an Explore agent for pattern analysis, dependency mapping, and code understanding. Automatically selects thoroughness level based on query complexity.
/researchConducts deep multi-hop web research with adaptive planning, evidence synthesis, and configurable depth (quick/standard/deep/exhaustive). Produces a structured report with citations and confidence levels.
/researchOrchestrates multi-AI research with configurable breadth and intensity, synthesizing multiple sources for comprehensive analysis on any topic.
/researchPerforms web research with citations using Perplexity Sonar (paid) or free key-less sources. Produces a structured dossier with summary, facts, timeline, players, contrarian views, and open questions.
/researchConducts multi-turn deep research on a specific topic by tracing actual code paths in the repository, producing maps, explanations, and actionable insights across 5 analytical iterations.
/researchResearches technology, service, and product options for a project, producing build vs buy analysis with TCO comparisons and vendor recommendations.