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Context7 Cli

OrganizationPopular
upstash
context7-cli

Use the ctx7 CLI to fetch library documentation, manage AI coding skills, and configure Context7 MCP. Activate when the user mentions "ctx7" or "context7", needs current docs for any library, wants to install/search/generate skills, or needs to set up Context7 for their AI coding agent.

Overview

Publisherupstash
Repositorycontext7
Skill namecontext7-cli
Stars
62.6K
Forks
3K
Bundled files
3
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.

  • 3 bundled files

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

  • Open source

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

Installation

Install the Context7 Cli 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/skills/context7-cli
  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/skills/context7-cli .claude/skills/context7-cli
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Context7 Cli 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 Cli 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 Cli 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.

ctx7 CLI

The Context7 CLI does three things: fetches up-to-date library documentation, manages AI coding skills, and sets up Context7 MCP for your editor.

Make sure the CLI is up to date before running commands:

bash
npm install -g ctx7@latest

Or run directly without installing:

bash
npx ctx7@latest <command>

What this skill covers

  • Documentation — Fetch current docs for any library. Use when writing code, verifying API signatures, or when training data may be outdated.
  • Skills management — Install, search, suggest, list, remove, and generate AI coding skills.
  • Setup — Configure Context7 MCP for Claude Code / Cursor / OpenCode.

Quick Reference

bash
# Documentation
ctx7 library <name> <query>           # Step 1: resolve library ID
ctx7 docs <libraryId> <query>         # Step 2: fetch docs

# Skills
ctx7 skills install /owner/repo       # Install from a repo (interactive)
ctx7 skills install /owner/repo name  # Install a specific skill
ctx7 skills search <keywords>         # Search the registry
ctx7 skills suggest                   # Auto-suggest based on project deps
ctx7 skills list                      # List installed skills
ctx7 skills remove <name>             # Uninstall a skill
ctx7 skills generate                  # Generate a custom skill with AI (requires login)

# Setup
ctx7 setup                            # Configure Context7 MCP (interactive)
ctx7 login                            # Log in for higher rate limits + skill generation
ctx7 whoami                           # Check current login status

Authentication

bash
ctx7 login               # Opens browser for OAuth
ctx7 login --no-browser  # Prints URL instead of opening browser
ctx7 logout              # Clear stored tokens
ctx7 whoami              # Show current login status (name + email)

Most commands work without login. Exceptions: skills generate always requires it; ctx7 setup requires it unless --api-key or --oauth is passed. Login also unlocks higher rate limits on docs commands.

Set an API key via environment variable to skip interactive login entirely:

bash
export CONTEXT7_API_KEY=your_key

Common Mistakes

  • Library IDs require a / prefix — /facebook/react not facebook/react
  • Always run ctx7 library first — ctx7 docs react "hooks" will fail without a valid ID
  • Repository format for skills is /owner/repo — e.g., ctx7 skills install /anthropics/skills
  • skills generate requires login — run ctx7 login first

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 Cli AI skill do?

Use the ctx7 CLI to fetch library documentation, manage AI coding skills, and configure Context7 MCP. Activate when the user mentions "ctx7" or "context7", needs current docs for any library, wants to install/search/generate skills, or needs to set up Context7 for their AI coding agent.

Why use Context7 Cli on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/upstash/context7/tree/master/skills/context7-cli. 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 Cli?

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 Cli?

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

Is the Context7 Cli 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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