A specialized data collection tool for scraping, localizing, and monitoring changes across major cloud service provider documentation.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install cloud-doc-intelligent-assistant
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 cloud-doc-intelligent-assistant using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Cloud Doc Intelligent Assistant is a robust technical utility designed to aggregate and manage product documentation from top-tier cloud providers, including Aliyun, Tencent Cloud, Baidu Cloud, and Volcano Engine. As a part of the Openclaw Skills ecosystem, it focuses purely on high-fidelity data acquisition and differential analysis, leaving the final summarization to the calling AI agent. This approach ensures that users always have access to the ground-truth technical data stored in a local SQLite database, enabling reliable offline research and deep technical audits.
By leveraging this tool within Openclaw Skills, developers can bypass the manual labor of navigating various cloud help centers. The assistant handles the intricacies of different URL formats and API structures, providing a unified interface to fetch, compare, and monitor cloud-native services. It is particularly valuable for teams maintaining multi-cloud architectures who need to stay synchronized with rapid upstream documentation changes.
To get started with this component of Openclaw Skills, ensure you have Python 3.10 or higher installed. Install the dependencies and the package using the following commands:
pip install .
# Alternatively, install via the requirements file
pip install -r requirements.txt
You must also configure your config.yaml to define storage paths and request intervals. For webhook notifications, set the AIFLOW_WEBHOOK_URL or RULIU_WEBHOOK_URL environment variables.
The skill organizes its technical data using a structured JSON response and a local relational database. Below is the metadata and storage taxonomy:
| Component | Details |
|---|---|
| Local Database | SQLite (.db) file storing titles, URLs, content hashes, and timestamps. |
| Machine Output | Structured JSON containing cloud, product, content, and diff objects. |
| Human Output | A brief, readable summary of the operation result. |
| Change Types | Categorization of diffs as minor, major, or structural. |
| Logs | Execution logs stored in the logs/ directory for debugging crawler behavior. |
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