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Context7 Docs

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Omar-Obando
context7-docs

Context7 MCP integration skill for real-time documentation lookup. Use whenever an agent encounters an unfamiliar API, library, framework, or pattern. Queries Context7 to fetch verified, version-specific docs. The primary defense against hallucinated API signatures.

Overview

PublisherOmar-Obando
Repositoryqwen-orchestrator
Skill namecontext7-docs
Stars
53
Forks
13
Bundled files
Instructions only
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.

  • Self-contained

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

  • Open source

    Published by Omar-Obando 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/Omar-Obando/qwen-orchestrator/tree/main/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/Omar-Obando/qwen-orchestrator.git /tmp/qwen-orchestrator
mkdir -p .claude/skills
cp -r /tmp/qwen-orchestrator/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 Docs Skill — Live Documentation Lookup

This skill integrates Context7 MCP tools into the orchestrator workflow, providing real-time access to official documentation for any library or framework.

When to Use

Use this skill when ANY of these situations arise:

  • An agent needs to verify an API signature
  • A Developer needs to use a library they're not 100% sure about
  • A Planner needs to check if a feature exists in a specific version
  • A Reviewer needs to validate that code follows current best practices
  • Any agent encounters "I'm not sure about this..."

Workflow

1. Resolve Library ID

Tool: context7_resolve-library-id
Input:
  libraryName: "React"  (use official name)
  query: "How to use useEffect cleanup function"
Output:
  libraryId: "/facebook/react"

2. Query Documentation

Tool: context7_query-docs
Input:
  libraryId: "/facebook/react"
  query: "useEffect cleanup function examples"
Output:
  [Relevant documentation snippets with code examples]

3. Cache Results

Save to $SESSION_DIR/docs/ for future sessions:

markdown
# [Library] — [Topic]

- Retrieved: [date]
- Library ID: [Context7 ID]
- Version: [if available]
- Key findings: [summary]
- Code examples: [snippets]

Integration Points

For Developer Agents

Before implementing with an unfamiliar library:

1. Resolve library ID via Context7
2. Query for specific API/feature
3. Read the code examples
4. Implement following official patterns
5. Cache for future reference

For Reviewer Agent

When reviewing code that uses a specific library:

1. Resolve library ID via Context7
2. Query for the specific API being used
3. Compare implementation against official patterns
4. Flag deviations from recommended usage

For Planner Agent

When planning features that depend on libraries:

1. Resolve library IDs for all dependencies
2. Query for feature availability in target version
3. Check for breaking changes between versions
4. Document version requirements in plan

Anti-Hallucination Rules

  1. NEVER guess API signatures — always verify via Context7
  2. NEVER assume version compatibility — check specific version docs
  3. NEVER use knowledge from memory for critical implementation details
  4. ALWAYS cite the Context7 source when providing information
  5. ALWAYS cache results for session continuity

Fallback Strategy

If Context7 is unavailable:

  1. Check .qwen-orchestrator/docs/ for cached documentation
  2. Use WebFetch to access official documentation sites
  3. Read the library's source code from node_modules/
  4. Search GitHub for examples and issues
  5. Clearly state: "Documentation was retrieved from [fallback source], confidence level: [MEDIUM/LOW]"

Supported Libraries (Examples)

LibraryContext7 ID
React/facebook/react
Next.js/vercel/next.js
Express/expressjs/express
Prisma/prisma/prisma
TypeScript/microsoft/TypeScript
Node.js/nodejs/node
TailwindCSS/tailwindlabs/tailwindcss
Zod/colinhacks/zod
Vitest/vitest-dev/vitest

When NOT to Use

Do NOT use this skill when:

  • You already know the library API well (save time by not querying)
  • Writing application business logic (use domain-driven skill)
  • Designing database schemas (use database-design skill)
  • Writing API endpoint implementations (use api-design skill)
  • Reviewing code for quality issues (use code-review skill)
  • Performing security audits (use security-auditor skill)
  • Analyzing deployment configurations (use deployment skill)
  • Writing SQL queries (use sql-best-practices skill)

Frequently asked questions

What does the Context7 Docs AI skill do?

Context7 MCP integration skill for real-time documentation lookup. Use whenever an agent encounters an unfamiliar API, library, framework, or pattern. Queries Context7 to fetch verified, version-specific docs. The primary defense against hallucinated API signatures.

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/Omar-Obando/qwen-orchestrator/tree/main/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 Omar-Obando 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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