A high-performance interface wrapper for JD Industrial Cloud vertical search, optimized for internal network product querying.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install jd-search
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 jd-search 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 JD Industrial Search Skill?
The JD Industrial Search Skill provides a robust wrapper for the JD Gongcaiyun vertical search API, specifically designed for use within JD internal network environments. As part of the Openclaw Skills ecosystem, it allows developers and AI agents to programmatically search for industrial products using keywords, category IDs, and complex filters like price ranges.
This skill simplifies the complexities of JD's internal search protocols, such as specific URL encoding requirements (UTF-8) and scene-based query logic. It provides a clean interface for retrieving critical product data, including SKU identifiers, brand names, and sales metrics, making it an essential tool for procurement automation and market research within the JD ecosystem.
JD Industrial Search Skill Use Cases
- Performing bulk product searches for industrial components like circuit breakers.
- Extracting SKU and price data for competitive analysis and price monitoring.
- Navigating complex industrial product taxonomies via category-specific filtering.
- Automating product data retrieval for internal procurement dashboards.
How JD Industrial Search Skill Works
- The user provides a search query or category ID through the Openclaw Skills interface.
- The skill automatically processes input parameters, ensuring Chinese characters are UTF-8 encoded and special characters like spaces are correctly escaped for the HTTP GET request.
- A request is sent to the internal JD proxy search service with the necessary client identifiers.
- The skill receives the vertical search results, which include product IDs, pricing, and category hierarchies.
- The data is parsed and formatted into the user's preferred output style, such as a readable table or a machine-parsable JSON object.
JD Industrial Search Skill Setup
This skill requires access to the JD internal network. To use the tool via the command line interface, ensure your environment is configured for the JD intranet and use the following commands:
# Perform a basic keyword search
jd-search "circuit breaker"
# Filter by price range and page size
jd-search "circuit breaker" --price 100-500 --pagesize 50
JD Industrial Search Skill Data Schema & Taxonomy
The skill returns structured data for each product found. The output includes the following key-value pairs:
| Field | Description |
|---|---|
wareid |
The unique product ID in the JD system |
item_sku_id |
Specific SKU identifier |
warename |
Full name of the product |
brand |
Manufacturer or brand name |
dredisprice |
Current listed price |
totalsales |
Historical sales volume |
catname |
Hierarchical category name (e.g., Industrial Products / Low Voltage / Circuit Breaker) |
JD Industrial Search Skill Advanced Features
- Support for multiple output formats including table, JSON, and CSV for easy integration with other Openclaw Skills.
- Scene ID selection to switch between main search, store-specific search, and coupon-based queries.
- Category-level hierarchy navigation to find products across multiple industrial classification paths.
- High-performance response handling with typical latency between 15-20ms for real-time automation.
SKILL.md
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