webshop-result-analyzer
This skill evaluates a list of search results against the target product criteria. Trigger it when a search result page is observed, to identify promising product listings. It analyzes each result's title, price, and brief description to shortlist items that best match the required attributes (like size, color, and price), outputting a prioritized list of candidate product IDs or links for further inspection.
npx skills add zjunlp/SkillNet --skill webshop-result-analyzer --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Instructions Trigger this skill when you observe a search result page (e.g., containing "Page 1 (Total results: 50)" and multiple product listings). ## 1. Extract User Requirements First, parse the user's instruction from the observation. Identify the following key attributes: - **Product Type:** (e.g., "woman's us size 5 high heel shoe") - **Specific Attributes:** (e.g., "rubber sole", "color patent-beige") - **Price Constraint:** (e.g., "price lower than 90.00 dollars") ## 2. Analyze Search Results For each product listing in the observation (typically formatted as `[ASIN/Product ID] [SEP] [Title] [SEP] [Price Range]`): 1. Extract the **Product ID** (e.g., B09GXNYJCD). 2. Extract the **Product Title**. 3. Extract the **Price**. Convert any range (e.g., "$49.99 to $54.99") to its maximum value for comparison against the budget. 4. Perform a **textual match** between the title/description and the required attributes (size, color, material like "rubber", product type). ## 3. Score and Prioritize Use the bundled Python script `analyze_results.py` to perform a consistent, deterministic analysis. 1. **Run the script** with the extracted user requirements and the list of product data.
- 1. Extract User Requirements
- 2. Analyze Search Results
- 3. Score and Prioritize
- 4. Output and Next Action
What does the webshop-result-analyzer skill do?
This skill evaluates a list of search results against the target product criteria. Trigger it when a search result page is observed, to identify promising product listings. It analyzes each result's title, price, and brief description to shortlist items that best match the required attributes (like size, color, and price), outputting a prioritized list of candidate product IDs or links for further inspection.
How do I install it?
Run `npx skills add zjunlp/SkillNet --skill webshop-result-analyzer --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From zjunlp/SkillNet, a repository with 1,117 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.