A comprehensive automation tool for Jingdong promoters to manage links, track commissions, and optimize product selection.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install jd-affiliate
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 jd-affiliate using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The JD Affiliate skill is a specialized tool designed for the Jingdong (JD.com) promotion platform. It empowers promoters by automating the generation of trackable product links, QR codes, and promotional materials. By utilizing Openclaw Skills, users can bridge the gap between product discovery and monetization, ensuring that every shared link is correctly attributed and optimized for the highest possible conversion rate.
This skill provides a centralized interface to manage the complexities of the Jingdong Alliance (Jingfen). It handles everything from real-time commission queries to deep data analytics, allowing developers and marketers to focus on strategy rather than manual link conversion. Whether you are managing a large-scale community or a niche social media channel, this integration simplifies the entire affiliate marketing lifecycle.
To get started with this integration in Openclaw Skills, follow these steps:
# Install the JD Affiliate skill
openclaw install jd-affiliate
# Configure your Jingdong Alliance API credentials
openclaw configure jd-affiliate --app-key YOUR_APP_KEY --app-secret YOUR_APP_SECRET
# Verify the connection
openclaw test jd-affiliate
The skill organizes affiliate data into structured tables for easy retrieval and analysis:
| Category | Data Fields | Description |
|---|---|---|
| Promotion Links | Short URL, QR Code, Weibo Link | Multi-platform compatible tracking links |
| Commission Info | Rate %, Estimated Amount, Rules | Financial breakdown per SKU |
| Analytics | Order Count, Conversion Rate, ROI | Performance metrics for specific periods |
| Product Metadata | Sales Volume, Rating, Category | Contextual data for product selection |
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