context7
Fetch current library documentation via Context7 API for any external package.
Works with
What it does
Search for libraries by name, then retrieve documentation context using the library ID and a specific query
Supports two output formats (txt and markdown) with configurable token limits for response size
Use proactively when working with external libraries, installing dependencies, debugging library-specific issues, or verifying APIs beyond your training data cutoff
API key stored in .env file within th
Installation Guide
How to use context7 on Cursor
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Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your machine
- ›Node.js 16+ with npm — verify with
node --version - ›Active project directory where you want to add
context7
Run the install command
Execute the skills CLI command in your project's root directory to begin installation:
Fetches context7 from am-will/codex-skills and configures it for Cursor.
Select Cursor when prompted
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate context7. Access via /context7 in your agent's command palette.
Security Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Documentation
Context7 Documentation Fetcher
Retrieve current library documentation via Context7 API.
IMPORTANT: CONTEXT7_API_KEY IS STORED IN THE .env FILE IN THE SKILL FOLDER THAT THE CONTEXT7 SKILL IS INSTALLED IN. SEARCH FOR IT THERE. .env FILES ARE HIDDEN FILES.
Example: ~/.agents/skills/context7/.env ~/.claude/skills/context7/.env
Workflow
1. Search for the library
python3 ~/.codex/skills/context7/scripts/context7.py search "<library-name>"
Example:
python3 ~/.codex/skills/context7/scripts/context7.py search "next.js"
Returns library metadata including the id field needed for step 2.
2. Fetch documentation context
python3 ~/.codex/skills/context7/scripts/context7.py context "<library-id>" "<query>"
Example:
python3 ~/.codex/skills/context7/scripts/context7.py context "/vercel/next.js" "app router middleware"
Options:
--type txt|md- Output format (default: txt)--tokens N- Limit response tokens
Quick Reference
| Task | Command |
|---|---|
| Find React docs | search "react" |
| Get React hooks info | context "/facebook/react" "useEffect cleanup" |
| Find Supabase | search "supabase" |
| Get Supabase auth | context "/supabase/supabase" "authentication row level security" |
When to Use
- Before implementing any library-dependent feature
- When unsure about current API signatures
- For library version-specific behavior
- To verify best practices and patterns
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Use Cases
User Story & Requirements Generation
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Competitive Analysis
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale