documentation-lookup
When the user asks about libraries, frameworks, or APIs, fetch current documentation via the Context7 MCP (tools resolve-library-id and query-docs) instead of relying on training data.
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Installation Guide
How to use documentation-lookup 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 machine
- ›Node.js 16+ with npm — verify with
node --version - ›Active project directory where you want to add
documentation-lookup
Run the install command
Execute the skills CLI command in your project's root directory to begin installation:
Fetches documentation-lookup from affaan-m/everything-claude-code and configures it for Cursor.
Select Cursor when prompted
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate documentation-lookup. Access via /documentation-lookup in your agent's command palette.
Security 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 environment. Always review source, verify the publisher, and test in isolation before production.
Documentation
Documentation Lookup (Context7)
When the user asks about libraries, frameworks, or APIs, fetch current documentation via the Context7 MCP (tools resolve-library-id and query-docs) instead of relying on training data.
Core Concepts
- Context7: MCP server that exposes live documentation; use it instead of training data for libraries and APIs.
- resolve-library-id: Returns Context7-compatible library IDs (e.g.
/vercel/next.js) from a library name and query. - query-docs: Fetches documentation and code snippets for a given library ID and question. Always call resolve-library-id first to get a valid library ID.
When to use
Activate when the user:
- Asks setup or configuration questions (e.g. "How do I configure Next.js middleware?")
- Requests code that depends on a library ("Write a Prisma query for...")
- Needs API or reference information ("What are the Supabase auth methods?")
- Mentions specific frameworks or libraries (React, Vue, Svelte, Express, Tailwind, Prisma, Supabase, etc.)
Use this skill whenever the request depends on accurate, up-to-date behavior of a library, framework, or API. Applies across harnesses that have the Context7 MCP configured (e.g. Claude Code, Cursor, Codex).
How it works
Step 1: Resolve the Library ID
Call the resolve-library-id MCP tool with:
- libraryName: The library or product name taken from the user's question (e.g.
Next.js,Prisma,Supabase). - query: The user's full question. This improves relevance ranking of results.
You must obtain a Context7-compatible library ID (format /org/project or /org/project/version) before querying docs. Do not call query-docs without a valid library ID from this step.
Step 2: Select the Best Match
From the resolution results, choose one result using:
- Name match: Prefer exact or closest match to what the user asked for.
- Benchmark score: Higher scores indicate better documentation quality (100 is highest).
- Source reputation: Prefer High or Medium reputation when available.
- Version: If the user specified a version (e.g. "React 19", "Next.js 15"), prefer a version-specific library ID if listed (e.g.
/org/project/v1.2.0).
Step 3: Fetch the Documentation
Call the query-docs MCP tool with:
- libraryId: The selected Context7 library ID from Step 2 (e.g.
/vercel/next.js). - query: The user's specific question or task. Be specific to get relevant snippets.
Limit: do not call query-docs (or resolve-library-id) more than 3 times per question. If the answer is unclear after 3 calls, state the uncertainty and use the best information you have rather than guessing.
Step 4: Use the Documentation
- Answer the user's question using the fetched, current information.
- Include relevant code examples from the docs when helpful.
- Cite the library or version when it matters (e.g. "In Next.js 15...").
Examples
Example: Next.js middleware
- Call resolve-library-id with
libraryName: "Next.js",query: "How do I set up Next.js middleware?". - From results, pick the best match (e.g.
/vercel/next.js) by name and benchmark score. - Call query-docs with
libraryId: "/vercel/next.js",query: "How do I set up Next.js middleware?". - Use the returned snippets and text to answer; include a minimal
middleware.tsexample from the docs if relevant.
Example: Prisma query
- Call resolve-library-id with
libraryName: "Prisma",query: "How do I query with relations?". - Select the official Prisma library ID (e.g.
/prisma/prisma). - Call query-docs with that
libraryIdand the query. - Return the Prisma Client pattern (e.g.
includeorselect) with a short code snippet from the docs.
Example: Supabase auth methods
- Call resolve-library-id with
libraryName: "Supabase",query: "What are the auth methods?". - Pick the Supabase docs library ID.
- Call query-docs; summarize the auth methods and show minimal examples from the fetched docs.
Best Practices
- Be specific: Use the user's full question as the query where possible for better relevance.
- Version awareness: When users mention versions, use version-specific library IDs from the resolve step when available.
- Prefer official sources: When multiple matches exist, prefer official or primary packages over community forks.
- No sensitive data: Redact API keys, passwords, tokens, and other secrets from any query sent to Context7. Treat the user's question as potentially containing secrets before passing it to resolve-library-id or query-docs.
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
Steps
- 1Install skill using provided installation command
- 2Test with simple use case relevant to your work
- 3Evaluate output quality and relevance
- 4Iterate on prompts to improve results
- 5Integrate 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
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Reviews
- DDhruvi Jain★★★★★Dec 20, 2024
Keeps context tight: documentation-lookup is the kind of skill you can hand to a new teammate without a long onboarding doc.
- PPratham Ware★★★★★Dec 16, 2024
Useful defaults in documentation-lookup — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- AAarav Nasser★★★★★Dec 16, 2024
documentation-lookup is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- KKwame Rahman★★★★★Dec 12, 2024
I recommend documentation-lookup for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- AAnika Gonzalez★★★★★Dec 12, 2024
Keeps context tight: documentation-lookup is the kind of skill you can hand to a new teammate without a long onboarding doc.
- AAnika Lopez★★★★★Dec 8, 2024
documentation-lookup reduced setup friction for our internal harness; good balance of opinion and flexibility.
- CCarlos Mensah★★★★★Nov 27, 2024
documentation-lookup is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- AAma Iyer★★★★★Nov 15, 2024
Useful defaults in documentation-lookup — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- OOshnikdeep★★★★★Nov 11, 2024
Registry listing for documentation-lookup matched our evaluation — installs cleanly and behaves as described in the markdown.
- HHenry Sanchez★★★★★Nov 7, 2024
documentation-lookup reduced setup friction for our internal harness; good balance of opinion and flexibility.
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