Provides AI agents with real-time, Markdown-formatted access to official OpenClaw documentation for accurate technical guidance.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install openclaw-docs-search
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 openclaw-docs-search 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 OpenClaw Docs Search?
The OpenClaw Docs Search skill is a specialized tool designed to provide AI coding agents with the most current information directly from the official documentation source. By integrating this skill into your Openclaw Skills workflow, you ensure that your agent is not relying on stale training data or hallucinations when handling complex configuration tasks. It focuses on delivering high-fidelity, compact Markdown that is optimized for LLM consumption, making it an essential utility for anyone building or maintaining Openclaw Skills.
This skill bridges the gap between static model knowledge and the rapidly evolving OpenClaw ecosystem. Whether you are troubleshooting a CLI command or setting up a new gateway, the real-time retrieval capabilities ensure your instructions are always aligned with the latest official releases. This makes it a foundational component for developers who prioritize accuracy and token efficiency in their Openclaw Skills implementations.
OpenClaw Docs Search Use Cases
- Verifying field names and structure before modifying OpenClaw configuration files.
- Researching specific CLI command syntax and recommended usage patterns.
- Troubleshooting gateway, channel, or skill integration issues using official diagnostics guidance.
- Grounding agent responses in up-to-date documentation to prevent hallucinations during Openclaw Skills development.
- Locating specific documentation pages and generating concise summaries for technical tasks.
How OpenClaw Docs Search Works
- The agent extracts the user's technical intent and translates it into optimized English keywords to query the Openclaw Skills documentation index.
- A request is sent to the official search endpoint to identify the most relevant documentation paths.
- The skill filters the raw JSON response, removing noise and metadata to produce a compact Markdown list for the model to process.
- If a specific page is selected for deep inspection, the skill fetches the full HTML content from the documentation site.
- It isolates the main article using the #content-area selector and converts the HTML into clean Markdown for the agent's context.
OpenClaw Docs Search Setup
To implement this as part of your Openclaw Skills, ensure your agent has access to the official search API. You can test the connectivity using the following bash command:
curl --location --request POST 'https://leaves.mintlify.com/api/search/clawdhub' \
--header 'Content-Type: application/json' \
--data-raw '{
"query": "CLI commands",
"filters": {
"language": "en"
}
}'
Configuration requires setting the base URL to https://docs.openclaw.ai/ and ensuring the agent is instructed to prioritize English searches for better result accuracy within the Openclaw Skills framework.
OpenClaw Docs Search Data Schema & Taxonomy
The skill organizes search results and retrieved pages into a structured Markdown format to optimize token usage within Openclaw Skills environments.
| Field | Description |
|---|---|
| Breadcrumbs | Navigation context indicating the section of the documentation. |
| Path | The relative URL path used for fetching detailed page content. |
| Content | Cleaned snippets or the full body extracted from #content-area. |
Example Search Result Schema for Openclaw Skills:
- Path: en/concepts/skills-config
- Summary: Key configuration fields for enabling specific Openclaw Skills functionalities.
OpenClaw Docs Search Advanced Features
- Intelligent language translation that converts Chinese queries to English for higher search hit rates within the Openclaw Skills ecosystem.
- Targeted DOM extraction using the #content-area selector to eliminate sidebar, footer, and script noise.
- Token-efficient workflow that follows a search-first, read-on-demand logical sequence to save context window space.
- Seamless integration with existing Openclaw Skills to provide a grounded knowledge base for autonomous technical agents.
SKILL.md
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