A comprehensive B2B steel trading and price intelligence skill for real-time market tracking and inventory management.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install steel-source-query
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 steel-source-query using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The steel-source-query skill is a specialized professional tool designed for the steel industry, enabling seamless B2B transactions and market analysis. It integrates real-time price scraping from major industry platforms with robust inventory management features, allowing users to publish stock, search for suppliers, and receive automated market reports. This Openclaw Skills component bridges the gap between raw market data and actionable trading intelligence.
Built with a focus on developer flexibility and user experience, the skill supports various input methods including Excel batch imports and intelligent voice-to-text parsing. It provides a structured way to handle complex steel specifications, materials, and regional pricing differences, making it an essential asset for steel traders, procurement officers, and market analysts looking for a data-driven edge.
First, ensure all Python dependencies are installed for this Openclaw Skills module:
pip install -r scripts/requirements.txt
To configure the Feishu Bitable integration for cloud inventory, update the config.template.json with your App Token and Table ID. To set up daily automated price alerts, add a cron job:
# Example: Daily 9:00 AM push
0 9 * * * cd /path/to/skill && python scripts/push_daily.py
The skill maintains a structured data hierarchy to ensure consistency across Openclaw Skills implementations:
| File/Data Type | Format | Description |
|---|---|---|
| Price Cache | prices.json |
Stores recent scraped prices to reduce network load. |
| Inventory | inventory.json |
Local backup of user-managed steel stock. |
| Trends | trends.json |
Historical data points used for trend analysis. |
| Cloud Schema | Feishu Bitable | Fields for Variety, Spec, Material, Quantity, Price, and Supplier. |
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