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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Claude CodeCursorClineWindsurfCodexGooseGitHub CopilotZed

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Install Skill

Run in your terminal

$npx skills add https://github.com/affaan-m/everything-claude-code --skill documentation-lookup

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Installation Guide

How to use documentation-lookup 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 machine
  • Node.js 16+ with npm — verify with node --version
  • Active project directory where you want to add documentation-lookup
2

Run the install command

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

$npx skills add https://github.com/affaan-m/everything-claude-code --skill documentation-lookup

Fetches documentation-lookup from affaan-m/everything-claude-code and configures it for Cursor.

3

Select Cursor when prompted

The CLI shows a list of agents. Use arrow keys and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ────────────────
│ · Cline · Codex · Goose · Windsurf
│ ●Cursor(selected)
│ · Cursor · Aider · Continue
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/documentation-lookup

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

  1. Call resolve-library-id with libraryName: "Next.js", query: "How do I set up Next.js middleware?".
  2. From results, pick the best match (e.g. /vercel/next.js) by name and benchmark score.
  3. Call query-docs with libraryId: "/vercel/next.js", query: "How do I set up Next.js middleware?".
  4. Use the returned snippets and text to answer; include a minimal middleware.ts example from the docs if relevant.

Example: Prisma query

  1. Call resolve-library-id with libraryName: "Prisma", query: "How do I query with relations?".
  2. Select the official Prisma library ID (e.g. /prisma/prisma).
  3. Call query-docs with that libraryId and the query.
  4. Return the Prisma Client pattern (e.g. include or select) with a short code snippet from the docs.

Example: Supabase auth methods

  1. Call resolve-library-id with libraryName: "Supabase", query: "What are the auth methods?".
  2. Pick the Supabase docs library ID.
  3. 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.

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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

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

  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

Related Skills

Reviews

4.449 reviews
  • D
    Dhruvi JainDec 20, 2024

    Keeps context tight: documentation-lookup is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • P
    Pratham WareDec 16, 2024

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

  • A
    Aarav NasserDec 16, 2024

    documentation-lookup is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • K
    Kwame RahmanDec 12, 2024

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

  • A
    Anika GonzalezDec 12, 2024

    Keeps context tight: documentation-lookup is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • A
    Anika LopezDec 8, 2024

    documentation-lookup reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • C
    Carlos MensahNov 27, 2024

    documentation-lookup is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • A
    Ama IyerNov 15, 2024

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

  • O
    OshnikdeepNov 11, 2024

    Registry listing for documentation-lookup matched our evaluation — installs cleanly and behaves as described in the markdown.

  • H
    Henry SanchezNov 7, 2024

    documentation-lookup reduced setup friction for our internal harness; good balance of opinion and flexibility.

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