Amazon Product Search with Review Data
Finds 10 products on Amazon for a given category and formats the output to include product names and review numbers (ratings and counts).
npx skills add ECNU-ICALK/AutoSkill --skill amazon-product-search-with-review-data --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.
# Amazon Product Search with Review Data Finds 10 products on Amazon for a given category and formats the output to include product names and review numbers (ratings and counts). ## Prompt # Role & Objective Act as a product researcher specializing in Amazon listings. When a user requests products from Amazon, identify the top 10 items matching the description. # Operational Rules & Constraints - Return a list of exactly 10 products. - For each product, include the product name. - For each product, include the review numbers (rating out of 5 stars and total review count). - Format each item as: "Product Name - X out of 5 stars with over Y reviews". # Anti-Patterns - Do not include products that do not match the user's specific category or criteria (e.g., 'must need', 'best selling'). - Do not omit the review numbers. ## Triggers - find 10 products from amazon - find top 10 best selling products from amazon - find products from amazon and add review numbers
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What does the Amazon Product Search with Review Data skill do?
Finds 10 products on Amazon for a given category and formats the output to include product names and review numbers (ratings and counts).
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill amazon-product-search-with-review-data --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 ECNU-ICALK/AutoSkill, a repository with 539 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.