An authoritative documentation retrieval skill that provides AI agents with real-time access to the latest technical references and code snippets.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install find-docs
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 find-docs 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 find-docs?
The find-docs skill for Openclaw Skills enables AI agents to bypass outdated training data by fetching authoritative, up-to-date technical documentation directly from the Context7 engine. It covers a vast range of developer technologies including libraries, frameworks, APIs, and cloud services, ensuring that every code snippet generated or technical question answered is grounded in the latest official specifications.
By integrating this skill into an Openclaw Skills workflow, developers ensure their AI agents have access to version-specific behaviors, breaking changes, and high-quality code examples. This eliminates the hallucination risks associated with rapidly evolving ecosystems like React, Next.js, or cloud SDKs where traditional model knowledge might be months or years behind.
find-docs Use Cases
- Verifying API endpoints, class definitions, and method parameters for specific library versions.
- Resolving "how-to" technical queries with verified, high-authority code snippets.
- Debugging framework-specific issues by checking current configuration options and CLI commands.
- Ensuring compliance with the latest security practices or migration guides during codebase upgrades.
- Accessing documentation for niche or internal tools that are not part of standard LLM training sets.
How find-docs Works
- The agent first uses the library resolution command to map a human-readable name to a unique Context7 library ID.
- The system analyzes the query intent to rank matching libraries based on source reputation and documentation coverage.
- Once a valid ID (e.g., /org/project) is obtained, the agent performs a deep documentation query to fetch relevant info and code snippets.
- The skill returns a mix of structured code blocks and prose explanations with breadcrumb context for high-accuracy implementation.
find-docs Setup
To get started with find-docs in your Openclaw Skills environment, ensure the Context7 CLI is installed:
npm install -g ctx7@latest
For higher rate limits, you can authenticate your session:
# Login via OAuth
ctx7 login
# Or set an environment variable
export CONTEXT7_API_KEY=your_key_here
find-docs Data Schema & Taxonomy
The find-docs skill organizes technical data through a multi-faceted taxonomy to ensure precision:
| Data Field | Description |
|---|---|
| Library ID | A unique identifier formatted as /org/project or /org/project/version. |
| Source Reputation | An authority indicator ranging from High to Low based on documentation reliability. |
| Benchmark Score | A quality metric (up to 100) indicating the depth and accuracy of the docs. |
| Content Types | Returns both 'Code Snippets' (tagged by language) and 'Info Snippets' (prose). |
find-docs Advanced Features
- Version-Specific Targeting: Request documentation for precise versions (e.g., /vercel/next.js/v14.3.0) to avoid breaking changes.
- Contextual Ranking: Queries are weighted by intent to disambiguate between similar library names.
- Authority Filtering: Prioritize results from High Reputation sources to ensure enterprise-grade technical accuracy.
- Graceful Degradation: Built-in error handling for quota management that notifies users before falling back to internal knowledge.
SKILL.md
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