find-docs

upstash/context7 · updated Jun 3, 2026

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$npx skills add https://github.com/upstash/context7 --skill find-docs
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summary

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

skill.md

Documentation Lookup

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

Make sure the CLI is up to date before running commands:

npm install -g ctx7@latest

Or run 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.

Quality Example
Good "How to set up authentication with JWT in Express.js"
Good "React useEffect cleanup function with async operations"
Bad "auth"
Bad "hooks"

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
how to use find-docs

How to use find-docs on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add find-docs
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/upstash/context7 --skill find-docs

The skills CLI fetches find-docs from GitHub repository upstash/context7 and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/find-docs

Reload or restart Cursor to activate find-docs. Access the skill through slash commands (e.g., /find-docs) or your agent's skill management interface.

Security & Verification 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 development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.549 reviews
  • Chinedu Lopez· Dec 28, 2024

    I recommend find-docs for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Tariq Flores· Dec 20, 2024

    Useful defaults in find-docs — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Isabella Okafor· Dec 16, 2024

    find-docs has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Harper Perez· Dec 8, 2024

    Solid pick for teams standardizing on skills: find-docs is focused, and the summary matches what you get after install.

  • Harper Choi· Nov 27, 2024

    I recommend find-docs for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Daniel Ndlovu· Nov 19, 2024

    Solid pick for teams standardizing on skills: find-docs is focused, and the summary matches what you get after install.

  • Kofi Kapoor· Nov 11, 2024

    find-docs has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Arjun Sanchez· Nov 7, 2024

    Useful defaults in find-docs — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Arjun Khanna· Oct 26, 2024

    I recommend find-docs for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Daniel Flores· Oct 18, 2024

    Useful defaults in find-docs — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

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