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context7

Fetch up-to-date library documentation from Context7 API. Use when user asks "how do I use this library", "show me docs for", "library documentation", "API reference for", or needs current documentation for any code library.

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grahama1970/fetcher
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2026년 1월 20일 12:53
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SKILL.md
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name
context7
description
Fetch up-to-date library documentation from Context7 API. Use when user asks "how do I use this library", "show me docs for", "library documentation", "API reference for", or needs current documentation for any code library.
allowed-tools
Bash, Read
triggers
["library documentation","show me docs for","API reference","how to use this library","latest docs for","context7 lookup"]
metadata
{"short-description":"Library documentation lookup via Context7"}
# Context7 Documentation Lookup Skill Fetch up-to-date library documentation from Context7 API for ANY code library. ## Prerequisites - `CONTEXT7_API_KEY` environment variable set (check `.env`) ## Quick Start ```bash # Step 1: Find the library ID python .agents/skills/context7/context7.py search <library-name> "<your-query>" # Step 2: Get documentation context python .agents/skills/context7/context7.py context <library-id> "<your-query>" --tokens 5000 ``` ## Commands at a Glance | Command | Description | Example | |---------|-------------|---------| | `search` | Rank repositories by relevance to your query | `python .agents/skills/context7/context7.py search arangodb "bm25 search"` | | `context` | Download reranked doc chunks for a specific library ID | `python .agents/skills/context7/context7.py context /arangodb/arangodb "vector search"` | | `find` | Convenience multi-library search across common stacks | `python .agents/skills/context7/context7.py find "binary search"` | These are the only supported subcommands; invoking the script without one will show Typer’s usage error. The table mirrors the exact signatures implemented in `context7.py`, so copy/paste examples will work as-is. ## API Endpoints ### 1. Search for ANY Library Find libraries by name with LLM-powered ranking. Works with ANY library on GitHub: ```bash # Search for any library - just change the libraryName curl -s -X GET "https://context7.com/api/v2/libs/search?libraryName=<YOUR-LIBRARY>&query=<your-query>" \ -H "Authorization: Bearer $CONTEXT7_API_KEY" | jq '.results[:3]' # Examples for different libraries: curl -s "https://context7.com/api/v2/libs/search?libraryName=pandas&query=dataframe+merge" ... curl -s "https://context7.com/api/v2/libs/search?libraryName=tensorflow&query=keras+model" ... curl -s "https://context7.com/api/v2/libs/search?libraryName=django&query=orm+query" ... ``` Response includes library IDs like `/owner/repo` that you use in the context endpoint. ### 2. Get Documentation Context (PRIMARY) Retrieve LLM-reranked documentation snippets for a query: ```bash # Get ArangoDB BM25 documentation curl -s -X GET "https://context7.com/api/v2/context?libraryId=/arangodb/arangodb&query=bm25+search+arangosearch&tokens=5000" \ -H "Authorization: Bearer $CONTEXT7_API_KEY" # Get Lean4 tactic documentation curl -s -X GET "https://context7.com/api/v2/context?libraryId=/leanprover/lean4&query=simp+tactic&tokens=3000" \ -H "Authorization: Bearer $CONTEXT7_API_KEY" # Get sentence-transformers embedding docs curl -s -X GET "https://context7.com/api/v2/context?libraryId=/UKPLab/sentence-transformers&query=encode+embeddings+cosine&tokens=3000" \ -H "Authorization: Bearer $CONTEXT7_API_KEY" ``` Parameters: - `libraryId`: Library ID from search (e.g., `/arangodb/arangodb`) - `query`: Natural language query - `tokens`: Max tokens to return (default ~5000) ## Common Library IDs Use `python context7.py search <name> "<query>"` to find ANY library's ID. | Library | Library ID | |---------|------------| | ArangoDB | `/arangodb/arangodb` | | Lean 4 | `/leanprover/lean4` | | sentence-transformers | `/UKPLab/sentence-transformers` | | PyTorch | `/pytorch/pytorch` | | TensorFlow | `/tensorflow/tensorflow` | | Pandas | `/pandas-dev/pandas` | | NumPy | `/numpy/numpy` | | Django | `/django/django` | | Flask | `/pallets/flask` | | FastAPI | `/tiangolo/fastapi` | | Next.js | `/vercel/next.js` | | React | `/facebook/react` | | Vue.js | `/vuejs/vue` | | Svelte | `/sveltejs/svelte` | | Express | `/expressjs/express` | | Rust std | `/rust-lang/rust` | | Go std | `/golang/go` | ## Usage Examples ### Get ArangoDB AQL syntax for vector search ```bash CONTEXT7_API_KEY=$(grep CONTEXT7_API_KEY .env | cut -d= -f2) \ curl -s "https://context7.com/api/v2/context?libraryId=/arangodb/arangodb&query=cosine+similarity+vector+search&tokens=3000" \ -H "Authorization: Bearer $CONTEXT7_API_KEY" ``` ### Get Lean4 proof tactics ```bash CONTEXT7_API_KEY=$(grep CONTEXT7_API_KEY .env | cut -d= -f2) \ curl -s "https://context7.com/api/v2/context?libraryId=/leanprover/lean4&query=omega+tactic+natural+numbers&tokens=3000" \ -H "Authorization: Bearer $CONTEXT7_API_KEY" ``` ## Python Usage The CLI surface is the preferred interface. If you embed it elsewhere, import the Typer app or the helper functions directly: ```python from .context7 import app, _search_libs, _get_context result = _search_libs("arangodb", "bm25 search") docs = _get_context("/arangodb/arangodb", "bm25 arangosearch scoring") ``` This matches the shipped code (`context7.py`). ## Shared Helpers - `.agents/skills/dotenv_helper.py` loads `.env` automatically so `CONTEXT7_API_KEY` is present even when skills run via `uvx`. - `.agents/skills/json_utils.py` can be imported to repair JSON before forwarding it to downstream tooling if you extend the skill; the built-in CLI already prints valid JSON. ## When to Use 1. When you need current documentation for a library 2. When official docs may have changed since training cutoff 3. When implementing features using unfamiliar APIs 4. To verify correct syntax for AQL, Lean4, or other DSLs
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