A dedicated toolset for synchronizing Alibaba Cloud Model Studio documentation with local AI agent skill definitions.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install aliyun-modelstudio-crawl-and-skill
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 aliyun-modelstudio-crawl-and-skill 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 Aliyun Model Studio Crawl and Skill Generation?
This utility provides a robust workflow for maintaining the accuracy of AI model definitions within the Openclaw Skills ecosystem. It focuses on crawling official Alibaba Cloud Model Studio documentation to extract technical specifications, which are then used to programmatically generate or update skills. This ensures that developers using Openclaw Skills can access the most recent model IDs, endpoints, and usage guidelines without manual intervention or the risk of using outdated information.
Aliyun Model Studio Crawl and Skill Generation Use Cases
- Synchronizing local skill libraries with the latest model releases from Alibaba Cloud.
- Converting unstructured web documentation into structured JSON data for AI agents.
- Maintaining a coverage report of implemented models within the Openclaw Skills framework.
- Reducing technical debt by automating the regeneration of model-specific documentation.
How Aliyun Model Studio Crawl and Skill Generation Works
- A raw crawl of the Model Studio help page is performed using Node.js to fetch the latest documentation.
- A summary script processes the raw Markdown to isolate model names and API links.
- The skill generation script creates or updates the specific skill files in the directory structure.
- Artifacts are saved to the output directory, and the system updates README files to reflect changes in the Openclaw Skills catalog.
Aliyun Model Studio Crawl and Skill Generation Setup
To implement this in your Openclaw Skills project, follow these steps:
- Install Node.js and Python 3.
- Fetch the raw data:
npx -y @just-every/crawl "https://help.aliyun.com/zh/model-studio/models" > alicloud-model-studio-models.md
- Process the summary:
python3 skills/ai/misc/aliyun-modelstudio-crawl-and-skill/scripts/refresh_models_summary.py
- Update the skills:
python3 skills/ai/misc/aliyun-modelstudio-crawl-and-skill/scripts/refresh_alicloud_skills.py
Aliyun Model Studio Crawl and Skill Generation Data Schema & Taxonomy
| Output File | Purpose |
|---|---|
alicloud-model-studio-models.md |
The initial raw crawl of the source URL. |
output/alicloud-model-studio-models.json |
A structured machine-readable list of all extracted models. |
output/alicloud-model-studio-skill-scan.md |
A report used to track skill coverage within Openclaw Skills. |
skills/ai/** |
The resulting individual skill files generated for the AI agent. |
Aliyun Model Studio Crawl and Skill Generation Advanced Features
- Integrated validation checks using py_compile to ensure script stability.
- Comprehensive evidence logging for reproducibility of the crawl results.
- Automated mapping of model IDs to specific API documentation links within Openclaw Skills.
- Support for generating multi-lingual README updates based on skill changes.
SKILL.md
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