Use Case
Context7 API Documentation Fetcher is a powerful AI agent skill that extends your assistant with new capabilities. Fetch up-to-date library documentation via Context7 API. Use PROACTIVELY when: (1) Working with ANY external library (React, Next.js, Supabase, etc.) (2) User asks about library APIs, patterns, or best practices (3) Implementing features that rely on third-party packages (4) Debugging library-specific issues (5) Need current documentation beyond training data cutoff Always prefer this over guessing library APIs or using outdated knowledge. This guide walks you through installing Context7 API Documentation Fetcher, configuring it for your setup, and running your first commands β so you can start getting value in minutes.
Install Context7 API Documentation Fetcher: npx clawhub@latest --dir ~/.claude/skills install context7-api
Restart your AI client (Claude Code, Cursor, Gemini CLI, or OpenClaw)
Type a natural language request related to developer & devops to trigger Context7 API Documentation Fetcher
Review the output and refine your prompt for better results
Combine Context7 API Documentation Fetcher with other skills to build multi-step workflows
Copy these prompts and use them with your AI agent after installing Context7 API Documentation Fetcher
Help me get started with Context7 API Documentation Fetcher
What can Context7 API Documentation Fetcher do for my developer & devops workflow?
Show me an example of using Context7 API Documentation Fetcher
Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install context7-apiOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install context7-apiβ οΈ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js β
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/context7-api/π‘Extract and place the folder at the path above, then restart your agent.