A powerful skill for retrieving up-to-date, version-specific documentation and code examples for any programming library or framework.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install uxc-context7
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install uxc-context7 using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Context7?
The Context7 skill enables AI agents to bypass outdated training data by fetching real-time documentation directly from the Context7 MCP server. By integrating this into your Openclaw Skills workflow, you ensure that your coding assistant always uses the latest API specifications and best practices for npm packages, Python libraries, and other development frameworks.
This skill acts as a bridge between your local development environment and comprehensive documentation repositories. It allows for precise queries on specific versions and complex programming patterns, providing the ground truth needed for high-quality code generation and debugging.
Context7 Use Cases
- Researching the latest API changes for rapidly evolving npm packages like React or Next.js.
- Fetching verified code examples for standard library modules in Python or Node.js.
- Resolving specific library IDs to ensure your AI agent is referencing the correct official documentation source.
- Enhancing AI-driven coding tasks with version-accurate technical data rather than relying on model training cutoffs.
How Context7 Works
- The skill first verifies the availability of the context7-mcp-cli command via the uxc infrastructure.
- If not already linked, it uses the uxc link command to establish a connection to the Context7 MCP endpoint.
- The agent uses the resolve-library-id tool to map a common package name (like 'react') to a unique library ID.
- Using the resulting library ID, the agent calls query-docs with a specific technical question or prompt.
- The skill returns the relevant documentation snippets and code examples, which are then used by the AI to complete coding tasks within the Openclaw Skills framework.
Context7 Setup
First, ensure the uxc skill is installed. Then, link the Context7 MCP command to your local environment:
uxc link context7-mcp-cli mcp.context7.com/mcp
You can verify the installation and view available operations by running:
context7-mcp-cli -h
Context7 Data Schema & Taxonomy
The skill manages documentation data through specific identifiers and query parameters. The primary data structure involves mapping library names to internal identifiers as shown below:
| Parameter | Description |
|---|---|
| libraryName | The common name of the package or library (e.g., 'react', 'node') |
| libraryId | The unique internal path identifier used for deep documentation queries |
| query | The natural language string describing the specific feature or hook needed |
Workflows and common usage patterns are tracked in reference files like references/usage-patterns.md to maintain consistency across Openclaw Skills sessions.
Context7 Advanced Features
- Direct fallback mechanism to uxc mcp.context7.com/mcp calls if command linking is temporarily unavailable.
- Cross-language support covering npm, Python, and other major package ecosystems.
- Seamless integration with the broader Openclaw Skills ecosystem for context-aware development.
- Ability to target specific version documentation to avoid deprecated code suggestions.
SKILL.md
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