Documentation Lookup

Retrieve current documentation and code examples for any library using the Context7 CLI.

Route Boundary

• OpenAI products and APIs: $openai-docs.
• Exact non-OpenAI library, framework, SDK, CLI, or cloud API docs: this skill.
• General web discovery, comparisons, opinions, news, URLs, and repository/code search: $agent-reach.

Use one primary route. Fall back to another only after reporting why the primary route failed.

Use an installed ctx7 command or an existing npx cache when available. Do not perform a global install as a preflight. If neither route is available, use the one-off command below or ask before changing the global Node environment:

npm install -g ctx7@latest

Prefer running directly without installing:

npx ctx7@latest <command>

Workflow

Two-step process: resolve the library name to an ID, then query docs with that ID.

# Step 1: Resolve library ID
ctx7 library <name> <query>

# Step 2: Query documentation
ctx7 docs <libraryId> <query>

You MUST call ctx7 library first to obtain a valid library ID UNLESS the user explicitly provides a library ID in the format /org/project or /org/project/version.

IMPORTANT: Do not run these commands more than 3 times per question. If you cannot find what you need after 3 attempts, use the best result you have.

Step 1: Resolve a Library

Resolves a package/product name to a Context7-compatible library ID and returns matching libraries.

ctx7 library react "How to clean up useEffect with async operations"
ctx7 library nextjs "How to set up app router with middleware"
ctx7 library prisma "How to define one-to-many relations with cascade delete"

Always pass a query argument - it is required and directly affects result ranking. Use the user's intent to form the query, which helps disambiguate when multiple libraries share a similar name. Do not include any sensitive or confidential information such as API keys, passwords, credentials, personal data, or proprietary code in your query.

Result fields

Each result includes:

• Library ID - Context7-compatible identifier (format: /org/project)
• Name - Library or package name
• Description - Short summary
• Code Snippets - Number of available code examples
• Source Reputation - Authority indicator (High, Medium, Low, or Unknown)
• Benchmark Score - Quality indicator (100 is the highest score)
• Versions - List of versions if available. Use one of those versions if the user provides a version in their query. The format is /org/project/version.

Selection process

1. Analyze the query to understand what library/package the user is looking for
2. Select the most relevant match based on:
   • Name similarity to the query (exact matches prioritized)
   • Description relevance to the query's intent
   • Documentation coverage (prioritize libraries with higher Code Snippet counts)
   • Source reputation (consider libraries with High or Medium reputation more authoritative)
   • Benchmark score (higher is better, 100 is the maximum)
3. If multiple good matches exist, acknowledge this but proceed with the most relevant one
4. If no good matches exist, clearly state this and suggest query refinements
5. For ambiguous queries, request clarification before proceeding with a best-guess match

Version-specific IDs

If the user mentions a specific version, use a version-specific library ID:

# General (latest indexed)
ctx7 docs /vercel/next.js "How to set up app router"

# Version-specific
ctx7 docs /vercel/next.js/v14.3.0-canary.87 "How to set up app router"

The available versions are listed in the ctx7 library output. Use the closest match to what the user specified.

Step 2: Query Documentation

Retrieves up-to-date documentation and code examples for the resolved library.

ctx7 docs /facebook/react "How to clean up useEffect with async operations"
ctx7 docs /vercel/next.js "How to add authentication middleware to app router"
ctx7 docs /prisma/prisma "How to define one-to-many relations with cascade delete"

Writing good queries

The query directly affects the quality of results. Be specific and include relevant details. Do not include any sensitive or confidential information such as API keys, passwords, credentials, personal data, or proprietary code in your query.

Use the user's full question as the query when possible, vague one-word queries return generic results.

The output contains two types of content: code snippets (titled, with language-tagged blocks) and info snippets (prose explanations with breadcrumb context).

Authentication

Works without authentication. For higher rate limits:

# Option A: environment variable
export CONTEXT7_API_KEY=your_key

# Option B: OAuth login
ctx7 login

Error Handling

If a command fails with a quota error ("Monthly quota reached" or "quota exceeded"):

1. Inform the user their Context7 quota is exhausted
2. Suggest they authenticate for higher limits: ctx7 login
3. If they cannot or choose not to authenticate, answer from training knowledge and clearly note it may be outdated

Do not silently fall back to training data - always tell the user why Context7 was not used.

Common Mistakes

• Library IDs require a / prefix - /facebook/react not facebook/react
• Always run ctx7 library first - ctx7 docs react "hooks" will fail without a valid ID
• Use descriptive queries, not single words - "React useEffect cleanup function" not "hooks"
• Do not include sensitive information (API keys, passwords, credentials) in queries