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Skills/Backend & APIs
intellectronica avatar

Context7

intellectronica/agent-skills

The context7 skill retrieves current documentation for software libraries, frameworks, and components through the Context7 API, enabling developers to access up-to-date code examples, API references, and usage patterns without relying on potentially outdated training data. It solves the problem of stale documentation by allowing users to search for specific libraries by name and fetch relevant documentation snippets on topics ranging from specific functions to architectural patterns. The skill is designed for developers who need to verify correct library usage, explore API features, or access documentation for libraries that have been updated since the model's training data.

installs
11.2K
GitHub stars
298
last updated
Aug 21, 2026
View on GitHubSave

Install

$ npx -y skills add intellectronica/agent-skills --skill context7 --agent claude-code

Installs into .claude/skills of the current project.

Files

Context7

Overview

This skill enables retrieval of current documentation for software libraries and components by querying the Context7 API via curl. Use it instead of relying on potentially outdated training data.

Workflow

Step 1: Search for the Library

To find the Context7 library ID, query the search endpoint:

curl -s "https://context7.com/api/v2/libs/search?libraryName=LIBRARY_NAME&query=TOPIC" | jq '.results[0]'

Parameters:

  • libraryName (required): The library name to search for (e.g., "react", "nextjs", "fastapi", "axios")
  • query (required): A description of the topic for relevance ranking

Response fields:

  • id: Library identifier for the context endpoint (e.g., /websites/react_dev_reference)
  • title: Human-readable library name
  • description: Brief description of the library
  • totalSnippets: Number of documentation snippets available

Step 2: Fetch Documentation

To retrieve documentation, use the library ID from step 1:

curl -s "https://context7.com/api/v2/context?libraryId=LIBRARY_ID&query=TOPIC&type=txt"

Parameters:

  • libraryId (required): The library ID from search results
  • query (required): The specific topic to retrieve documentation for
  • type (optional): Response format - json (default) or txt (plain text, more readable)

Examples

React hooks documentation

# Find React library ID
curl -s "https://context7.com/api/v2/libs/search?libraryName=react&query=hooks" | jq '.results[0].id'
# Returns: "/websites/react_dev_reference"

# Fetch useState documentation
curl -s "https://context7.com/api/v2/context?libraryId=/websites/react_dev_reference&query=useState&type=txt"

Next.js routing documentation

# Find Next.js library ID
curl -s "https://context7.com/api/v2/libs/search?libraryName=nextjs&query=routing" | jq '.results[0].id'

# Fetch app router documentation
curl -s "https://context7.com/api/v2/context?libraryId=/vercel/next.js&query=app+router&type=txt"

FastAPI dependency injection

# Find FastAPI library ID
curl -s "https://context7.com/api/v2/libs/search?libraryName=fastapi&query=dependencies" | jq '.results[0].id'

# Fetch dependency injection documentation
curl -s "https://context7.com/api/v2/context?libraryId=/fastapi/fastapi&query=dependency+injection&type=txt"

Tips

  • Use type=txt for more readable output
  • Use jq to filter and format JSON responses
  • Be specific with the query parameter to improve relevance ranking
  • If the first search result is not correct, check additional results in the array
  • URL-encode query parameters containing spaces (use + or %20)
  • No API key is required for basic usage (rate-limited)
SKILL.md on GitHub

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Details

Repository
github.com/intellectronica/agent-skills
Categories
Backend & APIs, Documentation, AI & Agent Building

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