agent coding skill risk: low
Codebase Source Evidence Question Answering
Answer repository questions grounded entirely in source code evidence by searching files, reading content, and synthesizing responses with inline citations. Follow specified proced…
- External action: low
SKILL 1 file
SKILL.md
--- name: antigravity-awesome-skills-wiki-qa-98852f23 description: "Answer repository questions grounded entirely in source code evidence. Use when user asks a question about the codebase, user wants to understand a specific file, function, or component, or user asks /\"how does X work/\" or /\"where is Y defined/\"." --- # Wiki Q&A Answer repository questions grounded entirely in source code evidence. ## When to Use - User asks a question about the codebase - User wants to understand a specific file, function, or component - User asks "how does X work" or "where is Y defined" ## Procedure 1. Detect the language of the question; respond in the same language 2. Search the codebase for relevant files 3. Read those files to gather evidence 4. Synthesize an answer with inline citations ## Response Format - Use `##` headings, code blocks with language tags, tables, bullet lists - Cite sources inline: `(src/path/file.ts:42)` - Include a "Key Files" table mapping files to their roles - If information is insufficient, say so and suggest files to examine ## Rules - ONLY use information from actual source files - NEVER invent, guess, or use external knowledge - Think step by step before answering ### When to Use This skill is applicable to execute the workflow or actions described in the overview. ## Limitations - Use this skill only when the task clearly matches the scope described above. - Do not treat the output as a substitute for environment-specific validation, testing, or expert review. - Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
REQUIRED CONTEXT
- user question about the codebase
ROLES & RULES
- ONLY use information from actual source files
- NEVER invent, guess, or use external knowledge
- Think step by step before answering
EXPECTED OUTPUT
- Format
- markdown
- Schema
- markdown_sections · Key Files
- Constraints
- Use ## headings, code blocks with language tags, tables, bullet lists
- Cite sources inline: (src/path/file.ts:42)
- Include a Key Files table mapping files to their roles
- If information is insufficient, say so and suggest files to examine
- ONLY use information from actual source files
- NEVER invent, guess, or use external knowledge
SUCCESS CRITERIA
- Answer repository questions grounded entirely in source code evidence
- Respond in the same language as the question
- Synthesize an answer with inline citations
- Include a Key Files table mapping files to their roles
FAILURE MODES
- May invent or guess information not present in source files
- May omit required Key Files table or inline citations
CAVEATS
- Dependencies
- codebase
- source files
- Missing context
- Method or tools available for searching and reading files
- Definition of what counts as valid "source code evidence"
- Ambiguities
- Duplicate "When to Use" section appears twice with slightly different wording.
- "Search the codebase for relevant files" does not specify the mechanism or tools to use.
QUALITY
- OVERALL
- 0.81
- CLARITY
- 0.82
- SPECIFICITY
- 0.78
- REUSABILITY
- 0.88
- COMPLETENESS
- 0.80
IMPROVEMENT SUGGESTIONS
- Remove the second redundant "When to Use" section to eliminate duplication.
- Add an explicit step or note describing available tools or commands for searching/reading files.
- Include a short example of a correctly formatted response with citations and Key Files table.
USAGE
Copy the prompt above and paste it into your AI of choice — Claude, ChatGPT, Gemini, or anywhere else you're working. Replace any placeholder sections with your own context, then ask for the output.
MORE FOR AGENT
- Rapid App MVP Prototyperagentcoding
- AI-First Design Handoff Specs Generatoragentcoding
- Test-Driven Development Workflow Rulesagentcoding
- Structured Autonomy Implementation Agentagentcoding
- PROGRESS.md Manager for Agentic Codingagentcoding
- Hard Bug Diagnosis Disciplineagentcoding
- Git Development Branch Finisheragentcoding
- Code Review Feedback Reception Protocolagentcoding
- Systematic Debugging Process Guideagentcoding
- Matplotlib Python Plotting Guideagentcoding
- LaTeX Paper PDF Compileragentcoding
- Full Output Enforcement for Code Generationagentcoding
- PyTorch Geometric GNN Implementation Guideagentcoding
- Premium React UI Design Architectagentcoding
- Astropy Python Astronomy Library Guideagentcoding
- Book SFT Style Transfer Pipelineagentcoding
- Event Sourcing and CQRS Architectagentcoding
- FluidSim Python CFD Simulation Guideagentcoding
- NetworkX Python Graph Analysis Toolkitagentcoding
- Phase-Gated Debugging Protocol Enforceragentcoding
- SimPy Discrete-Event Simulation Guideagentcoding
- Phase-Gated Code Debugging Protocolagentcoding
- Biopython Molecular Biology Toolkit Guideagentcoding
- Haskell Advanced Type Systems Expertagentcoding
- Anime.js Complex Animation Workflowagentcoding