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Context7 Docs

OrganizationPopular
upstash
context7-docs

Fetch up-to-date documentation and code examples for any library, framework, SDK, CLI tool, or cloud service. Use whenever the user asks about a specific library — even well-known ones like React, Next.js, Prisma, Express, Tailwind, Django, or Spring Boot — because 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 Do not rely on training data for API details, signatures, or configuration options — they are frequently out of date. Prefer this over web search for library documentation.

Overview

Publisherupstash
Repositorycontext7
Skill namecontext7-docs
Stars
62.6K
Forks
3K
Bundled files
Instructions only
LicenseMIT
Links
Skill sourceRepositoryHomepage
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by upstash on GitHub. Read the source before you install it.

Installation

Install the Context7 Docs AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/upstash/context7/tree/master/packages/pi/skills/context7-docs
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/upstash/context7.git /tmp/context7
mkdir -p .claude/skills
cp -r /tmp/context7/packages/pi/skills/context7-docs .claude/skills/context7-docs
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Context7 Docs in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Context7 Docs on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Context7 Docs is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Context7 Documentation Lookup

Retrieve current documentation and code examples from Context7 using the resolve-library-id and query-docs tools that ship with this extension.

When to use

Reach for these tools whenever a question involves a specific library, framework, SDK, CLI tool, or cloud service. Examples:

  • "How do I configure caching in Next.js 16?"
  • "What's the syntax for Prisma's findMany with relations?"
  • "Show me a working Tailwind v4 install for a Vite app."
  • "How do I rate-limit with @upstash/ratelimit?"

Workflow

  1. Resolve the library ID. Call resolve-library-id with the library name and what to look up in the library's documentation. The tool returns matching libraries with their Context7 IDs (/org/project format), descriptions, snippet counts, and quality scores. Pick the best match — prioritize official sources, name match, and high benchmark scores.
  2. Query the docs. Call query-docs with the chosen library ID and what to look up in the library's documentation, scoped to a single concept — if the question spans multiple distinct concepts, make a separate call per concept with the same library ID, unless the question is about how the concepts interact. The tool returns documentation snippets and code examples.
  3. Answer. Cite the library ID you used and quote code examples verbatim when relevant.

If the user supplies a library ID in /org/project or /org/project/version format directly, skip step 1 and call query-docs immediately.

Constraints

  • Do not call either tool more than 3 times per question.
  • Do not pass API keys, passwords, credentials, personal data, or proprietary code as the query argument — it is sent to the Context7 API.
  • Authentication uses the CONTEXT7_API_KEY environment variable. Get a key at https://context7.com/dashboard if requests fail with an auth error.

Frequently asked questions

What does the Context7 Docs AI skill do?

Fetch up-to-date documentation and code examples for any library, framework, SDK, CLI tool, or cloud service. Use whenever the user asks about a specific library — even well-known ones like React, Next.js, Prisma, Express, Tailwind, Django, or Spring Boot — because 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...

Why use Context7 Docs on TypingMind?

Because you install it once and use it with any model. Context7 Docs is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Context7 Docs in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/upstash/context7/tree/master/packages/pi/skills/context7-docs. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Context7 Docs?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Context7 Docs?

As many as you like. As long as a model supports skills, you can use Context7 Docs with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Context7 Docs AI skill free?

Yes. It is published on GitHub by upstash under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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