intellectronica/agent-skills

context7

Retrieve up-to-date documentation for software libraries, frameworks, and components via the Context7 API.

Vedi sorgente

Come usare

  1. Copia il comando e controlla il pacchetto prima di installarlo nel tuo ambiente agente.
  2. Controlla strumenti, credenziali e ambienti richiesti nel documento originale.
  3. Descrivi input e risultato desiderato; confronta l’output con le fonti.
npx skills add https://github.com/intellectronica/agent-skills --skill context7

Prima di iniziare

  • L’installazione non include abbonamenti, quote API o accesso ai file.
  • Stelle e installazioni indicano attività, non un test indipendente di qualità o sicurezza.
Documento Skill originale

Contenuto dal repository con titoli, esempi, codice, tabelle, link e immagini preservati.

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 Use it instead of relying on potentially outdated training data.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:

bash
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:

bash
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

bash
# 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

bash
# 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

bash
# 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)

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