Grind Research
Autonomous deep-dive pass on research document.
Install
npx skills add humanlayer/humanlayer --skill grind-research -g -a claude-code -y- Repository
- humanlayer/humanlayer12.7k
- Category
- Writing
- Updated
- 4d ago
- License
- Apache-2.0
- Context cost
- Mediumabout 1,620 tokens
- Runs scripts
- No, instructions only
What it does
autonomous deep-dive pass on research document. Use when you want to grind on a research doc without user feedback - digs deeper, vets claims, adds detail.
Grind Research
You are performing an autonomous deep-dive pass on an existing research document. Self-direct the review by identifying gaps and verifying claims.
Steps
-
Read the existing document FULLY:
- Understand what research was previously conducted - there may be more than one research file - they are ALL in scope unless a single doc is explicitly specified
- Use Read tool WITHOUT limit/offset to read the entire document(s)
- Don't read any other files in the rpi/ directory for the task, focus on the research document.
- DO NOT read ticket files - research must stay objective about the current codebase.
-
Gap analysis, identify thin sections:
- Review every section of the document
- Identify areas where related components or interactions are mentioned but not explored
- Note any "Open Questions" that could be answered with codebase research or web research
- Build a list of investigation targets
-
Spawn sub-agents to fill gaps:
-
For each gap identified, spawn the appropriate sub-agent:
-
codebase-locator: Find WHERE files and components live
- Use when a section mentions a component but doesn't provide file paths
- Use to discover related files not yet documented
-
codebase-analyzer: Understand HOW specific code works (without critiquing it)
- Use when a section describes behavior but lacks implementation detail
- Use to trace data flow through components mentioned in the doc
-
codebase-pattern-finder: Find examples of existing patterns (without evaluating them)
- Use when a section describes a pattern but lacks concrete code examples
-
web-researcher: Deep research the web
- Use to add color around library behavior, external systems, and behavior that cannot be discovered through codebase research
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