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Skill JustMichael-80/MasterVault/skills/context7/skills/find-docs

An orientation protocol for LLM sessions — plus a curated Claude skills collection

Install
npx -y skills add JustMichael-80/MasterVault --skill find-docs

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

2 things to look at

  • 22 days oldThe repository was created 22 days ago. New is not bad, but a brand new repository carrying a familiar-sounding name is the shape a typosquat arrives in, and there has been no time for anyone else to find a problem with it.
  • 8 stars8 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

Retrieves up-to-date documentation, API references, and code examples for any developer technology. Use this skill whenever the user asks about a specific library, framework, SDK, CLI tool, or cloud service — even for well-known ones like React, Next.js, Prisma, Express, Tailwind, Django, or Spring Boot. Your training data may not reflect recent API changes or version updates. Always use for: API syntax questions, configuration options, version migration issues, "how do I" questions mentioning a library name, debugging that involves library-specific behavior, setup instructions, and CLI tool usage. Use even when you think you know the answer — do not rely on training data for API details, signatures, or configuration options as they are frequently outdated. Always verify against current docs. Prefer this over web search for library documentation and API details.

SKILL.md

7.2 KB, ~1.4k tokens by cl100k_base, as published. Nobody here has run it

Documentation Lookup

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

Run commands with npx ctx7@latest so setup always uses the latest CLI without a global install:

npx ctx7@latest library <name> "<query>"
npx ctx7@latest docs <libraryId> "<query>"

Optionally install globally if you prefer a bare ctx7 command:

npm install -g ctx7@latest

Workflow

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

# Step 1: Resolve library ID
npx ctx7@latest library <name> "<query>"

# Step 2: Query documentation
npx ctx7@latest docs <libraryId> "<query>"

You MUST call 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.

npx ctx7@latest library React "How to clean up useEffect with async operations"
npx ctx7@latest library "Next.js" "How to set up app router with middleware"
npx ctx7@latest library Prisma "How to define one-to-many relations with cascade delete"

Use the official library name with proper punctuation (e.g., "Next.js" not "nextjs", "Customer.io" not "customerio", "Three.js" not "threejs"). If results look wrong, try alternate spellings such as next.js before changing the query.

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)
npx ctx7@latest docs /vercel/next.js "How to set up app router"

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

The available versions are listed in the library command 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.

npx ctx7@latest docs /facebook/react "How to clean up useEffect with async operations"
npx ctx7@latest docs /vercel/next.js "How to add authentication middleware to app router"
npx ctx7@latest 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, but keep each query to one topic — if the question spans multiple distinct concepts, run a separate docs command per concept instead of combining them, unless the question is about how the concepts interact. Do not include any sensitive or confidential information such as API keys, passwords, credentials, personal data, or proprietary code in your query.

QualityExample
Good"How to set up authentication with JWT in Express.js"
Good"React useEffect cleanup function with async operations"
Bad (too vague)"auth"
Bad (too vague)"hooks"
Bad (too broad)"routing and auth and caching in Next.js"

Use the user's full question as the query when possible — vague one-word queries return generic results, and multi-topic queries dilute ranking and return shallow results for each topic.

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
npx ctx7@latest 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: npx ctx7@latest 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 npx ctx7@latest library first — npx ctx7@latest docs react "hooks" will fail without a valid ID
  • Use descriptive queries, not single words — "React useEffect cleanup function" not "hooks"
  • One topic per query — split "routing and auth and caching" into a separate docs command per concept, unless the question is about how they interact
  • Do not include sensitive information (API keys, passwords, credentials) in queries

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Gives 0 of the 12 instructions most docs writing skills give in ~1.4k tokens

Counted across 1,637 of the 3,044 authors here whose files we hold, read 2026-08-07

  • announce the skill at startin 54 of 1637, across 26 files
  • convert legacy doc files before editingin 45 of 1637, across 7 files
  • Predict questions readers might askin 42 of 1637, across 4 files
  • Generate clarifying questions for initial contextin 42 of 1637, across 3 files
  • Create document scaffold with placeholder textin 42 of 1637, across 3 files
  • Brainstorm content options for each sectionin 42 of 1637, across 3 files
  • Test document with fresh context-less instancein 42 of 1637, across 3 files
  • include exact file paths in every taskin 42 of 1637, across 15 files
  • ask interview questions one at a timein 42 of 1637, across 27 files
  • Apply surgical edits during refinementin 41 of 1637, across 2 files
  • Offer structured workflow or freeformin 40 of 1637, across 1 file
  • Ask for document meta-contextin 40 of 1637, across 2 files

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.

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Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.