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* feat(commands): add /docs; feat(agents): add docs-lookup; feat(mcp-configs): document Context7; docs: add MCP subsection to CONTRIBUTING Made-with: Cursor * fix: address PR review — use Context7 MCP tool names in docs-lookup agent; CONTRIBUTING Agent Fields + MCP wording; mcp-config description; /docs quoted example; treat fetched docs as untrusted Made-with: Cursor * docs-lookup: note that harness may expose Context7 tools under prefixed names Made-with: Cursor * docs-lookup: examples use prefixed tool names (mcp__context7__*) for resolution Made-with: Cursor
32 lines
1.4 KiB
Markdown
32 lines
1.4 KiB
Markdown
---
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description: Look up current documentation for a library or topic via Context7.
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---
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# /docs
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## Purpose
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Look up up-to-date documentation for a library, framework, or API and return a summarized answer with relevant code snippets. Uses the Context7 MCP (resolve-library-id and query-docs) so answers reflect current docs, not training data.
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## Usage
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```
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/docs [library name] [question]
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```
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Use quotes for multi-word arguments so they are parsed as a single token. Example: `/docs "Next.js" "How do I configure middleware?"`
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If library or question is omitted, prompt the user for:
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1. The library or product name (e.g. Next.js, Prisma, Supabase).
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2. The specific question or task (e.g. "How do I set up middleware?", "Auth methods").
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## Workflow
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1. **Resolve library ID** — Call the Context7 tool `resolve-library-id` with the library name and the user's question to get a Context7-compatible library ID (e.g. `/vercel/next.js`).
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2. **Query docs** — Call `query-docs` with that library ID and the user's question.
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3. **Summarize** — Return a concise answer and include relevant code examples from the fetched documentation. Mention the library (and version if relevant).
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## Output
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The user receives a short, accurate answer backed by current docs, plus any code snippets that help. If Context7 is not available, say so and answer from training data with a note that docs may be outdated.
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