find-docs▌
upstash/context7 · updated Jun 3, 2026
MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.
Retrieve current documentation and code examples for any library using the Context7 CLI.
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
- Analyze the query to understand what library/package the user is looking for
- 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)
- If multiple good matches exist, acknowledge this but proceed with the most relevant one
- If no good matches exist, clearly state this and suggest query refinements
- 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"):
- Inform the user their Context7 quota is exhausted
- Suggest they authenticate for higher limits:
ctx7 login - 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/reactnotfacebook/react - Always run
ctx7 libraryfirst —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 on Cursor
AI-first code editor with Composer
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
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches find-docs from GitHub repository upstash/context7 and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
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
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.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 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▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.5★★★★★49 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.
showing 1-10 of 49