doc-web-assistant
Use native web_fetch content to build a local documentation knowledge base, query it, extract command plans, and prepare Doc Executor workflows.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/2361359008/doc-web-assistantWhat This Skill Does
The doc-web-assistant skill acts as a bridge between official online documentation and your local OpenClaw environment. By leveraging native web fetching capabilities, it parses complex documentation websites, converts them into a local structured JSON database, and provides tools for RAG (Retrieval-Augmented Generation) based querying. It is specifically optimized to extract terminal commands from technical docs and create safe execution plans, ensuring you follow official instructions without manual copy-pasting.
Installation
To integrate this skill into your OpenClaw ecosystem, execute the following command in your terminal:
clawhub install openclaw/skills/skills/2361359008/doc-web-assistant
Ensure you have Python installed and run the included requirements file:
pip install -r requirements.txt
Use Cases
- Automated Setup: Quickly ingest complex installation manuals for new software and generate command sequences.
- Local Knowledge Base: Maintain offline indexes of documentation you frequently reference, reducing dependency on live internet availability.
- Command Validation: Extract specific CLI commands from large tutorials and review them for safety before execution.
- Context-Aware Assistance: Ask natural language questions about deep documentation structures that are too large to paste into a standard prompt window.
Example Prompts
- "Crawl the documentation at https://llama.cpp.com/docs and build a local database for me."
- "Based on the imported docs, provide a step-by-step terminal plan to install and configure llama.cpp with ARMv9 optimization."
- "Query my local doc store for any information regarding the setup of Python environments for the latest project."
Tips & Limitations
- Pre-fetch: Always use OpenClaw's native
web_fetchfirst to ensure clean raw data before importing into the doc-web-assistant engine. - Chunking: The tool works best when documentation pages are logically structured; ensure your imports are focused on relevant sub-sections to keep the
doc_storeaccurate. - Safety First: While the planner categorizes commands, always review the extracted terminal steps before authorizing OpenClaw to run them as
sudoor high-privilege operations.
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-2361359008-doc-web-assistant": {
"enabled": true,
"auto_update": true
}
}
}Tags(AI)
Flags: file-write, file-read, code-execution