A specialized tool for AI agents to search and retrieve comprehensive official documentation, APIs, and SDK guides from Volcengine.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install volc-docs
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install volc-docs using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The volc-docs skill is a technical bridge that allows AI coding agents to access the complete Volcengine knowledge base. It provides authoritative data on cloud products, developer tools, service support, and best practices. By integrating this skill through Openclaw Skills, developers can empower their agents to answer complex cloud infrastructure questions with high precision.
This skill is designed to handle the entire documentation lifecycle, from initial keyword discovery to deep full-text extraction. It ensures that any technical consultation regarding Volcengine services is backed by the most current official data, including billing, deployment, troubleshooting, and API specifications.
To use this skill within the Openclaw Skills framework, ensure the Python environment is configured and the script directory is accessible.
# Example: Searching for TOS documentation
python scripts/volcengine_docs.py search "what is tos" 1 tos
# Example: Fetching full content from a specific link
python scripts/volcengine_docs.py fetch "https://www.volcengine.com/docs/6349/162514"
The skill returns structured data optimized for AI consumption. Below is the primary data schema used for search results:
| Field | Type | Description |
|---|---|---|
| Title | string | The official title of the Volcengine document. |
| Url | string | The sanitized, clean URL of the documentation page. |
| Content | string | The full-text content of the document after structured parsing. |
| ServiceCodes | array | Product identifiers used for refined filtering and categorization. |
Loading
A complete offline voice-to-voice AI assistant for OpenClaw using Whisper.cpp and Pocket-TTS for 100% local processing.

Effortlessly converts ASCII-style PySpark table outputs into clean Tab-separated text for direct pasting into spreadsheets.

An AI skill for designing intelligent sedentary reminder systems that prioritize helpful timing and context-awareness over mechanical repetition.

A versatile framework for building, evaluating, and deploying enterprise-grade AI agents with seamless tool and data integration.

A comprehensive Excel management and AI-powered analysis tool designed for OpenClaw agents.

Boxed FFmpeg allows AI agents to perform secure audio and video processing using a sandboxed FFmpeg WASM component.








































