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Context7

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Dianel555
context7

Fetch current library and API documentation from Context7 when a coding answer needs authoritative, up-to-date examples or version-specific behavior.

Overview

PublisherDianel555
RepositoryDSkills
Skill namecontext7
Stars
65
Forks
8
Bundled files
4
LicenseMIT
Links
  • 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.

  • 4 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by Dianel555 on GitHub. Read the source before you install it.

Installation

Install the Context7 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/Dianel555/DSkills/tree/main/skills/context7
  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/Dianel555/DSkills.git /tmp/DSkills
mkdir -p .claude/skills
cp -r /tmp/DSkills/skills/context7 .claude/skills/context7
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Context7 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 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 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

Use the co-located Node CLI to search Context7 documentation through the v3 Search API. The v3 endpoint accepts a question and returns relevant snippets in one request. A library ID is optional.

Run the CLI

Resolve the actual directory containing this skill first. The CLI needs Node.js 18+ and no npm dependencies. Run it from that directory:

bash
node ./context7-api.cjs search "How do I clean up a React effect?"
node ./context7-api.cjs search "How do I configure route handlers?" --library Next.js --version 15.4.0
node ./context7-api.cjs search "How do I stream a response?" --library Next.js --library OpenAI --language TypeScript

--library accepts a name or Context7 ID and may appear up to four times. --version requires at least one --library; with one library it is a strict filter, and with several it is a preference. --language is a preference. Pass the user's specific question as the query. Do not use a repo-relative path when this skill is installed elsewhere.

The old context <libraryId> <query> command remains an alias for search <query> --library <libraryId> so existing callers can migrate. It also uses v3.

Read the response

The CLI requests type=json and prints the raw codeSnippets[] and infoSnippets[], plus a normalized results[] array. Each normalized result has title, content, source, and libraryId. Use the snippet's source link when citing documentation. When a query has no matching documentation, all three arrays are empty.

The v3 REST endpoint returns plain text by default. Keep type=json when calling it directly if structured snippets are needed.

Authentication and errors

Set CONTEXT7_API_KEY in the environment or in a .env file next to the CLI. An environment variable takes precedence. Use .env.example as the template and get a key from context7.com/dashboard. Requests without a key are for testing and have low IP-based limits.

The CLI exits nonzero and writes errors to stderr for invalid arguments, network failures, invalid JSON, and API errors other than 404 no_documentation_found. For 429, wait for the rate limit before retrying. For other transient failures, retry once and report that current documentation could not be verified if it still fails.

The optional context7-fetcher can run the same command in an isolated worker when the runtime supports one. Direct CLI execution is the default.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Context7 AI skill do?

Fetch current library and API documentation from Context7 when a coding answer needs authoritative, up-to-date examples or version-specific behavior.

Why use Context7 on TypingMind?

Because you install it once and use it with any model. Context7 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 in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Dianel555/DSkills/tree/main/skills/context7. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Context7?

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?

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

Is the Context7 AI skill free?

Yes. It is published on GitHub by Dianel555 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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