JD Rebate
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About this skill
Problem
Rebate workflows often become fragmented: users may send product links, ask for product searches, request tutorials, check balances, or initiate withdrawals, but the underlying actions are spread across multiple scripts and prompts.
How It Works
This skill consolidates the flow into S01 authorization and tutorials, S02 link rebates, and S03 product search, with scripts/cli/rebate_assistant_router.js as the unified entry point.
- S01 handles WeChat authorization, withdrawal tutorials, account balance, and withdrawal confirmation through
m01_operation_guide.js. - S02 recognizes Taobao, JD, and Pinduoduo product links, then runs product lookup, lease requests, and rebate-link generation through
m02_platform_link.js. - S03 extracts fields such as brand, model, price, and audience, then emits
product_search_intentandsearch_requestthroughproduct_search.js.
The skill requires script stdout to be returned directly as Markdown without extra explanation or invented links.
Boundaries
It currently supports only Taobao, JD, and Pinduoduo links. It should not generate rebate results when authorization is missing, the API fails, or no product is matched. Product search still requires the user to send the selected product link back to S02 to complete the rebate chain.
Use Cases
- After receiving a JD product link, check whether a rebate entry exists and generate a shareable rebate link.
- When a customer sends a Taobao short link or mixed text, pass the original message to S02 for rebate recognition.
- When a shopper asks for Li-Ning Xingchuan 2SE, use S03 to extract brand and model into a search request.
- After WeChat authorization is completed, check the account balance and confirm a withdrawal amount through the fixed flow.
Best For
- Community operators handling Taobao, JD, and Pinduoduo rebates who need to convert product links into shareable rebate entries.
- Customer support agents handling pre-sale questions who need to route users to rebate links or product search.
- Operations owners managing rebate balances who need to run authorization, balance checks, and withdrawal confirmations.
- Merchandise recommenders who need to turn brand, model, price, and audience descriptions into product search requests.
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