mcpField
A
amazon-shopping

amazon-shopping

github.com/jlave-devOther325 installs
Repository

About amazon-shopping

A shopping skill that searches Amazon, verifies candidate details on product pages, and ranks recommendations against stated constraints. It is for people comparing products who need listings checked for price, rating, and review count before recommendations.

Key features

  1. 01Ask for missing shopping constraints
  2. 02Search Amazon and extract matched ASINs
  3. 03Verify details on product pages
  4. 04Rank by user criteria and reviews
  5. 05Include trade-offs in recommendations

Use cases

  1. 01Compare products within a budget
  2. 02Find a gift matching usage needs
  3. 03Check compatibility and deal-breakers

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/jlave-dev/agent-skills --skill amazon-shopping

After installing, type/amazon-shoppingin Claude Code to confirm it loaded.

Bundled files

References and scripts installed along with SKILL.md.

evaluations.json
reference/
asin-extraction.md
common-errors.md
output-formats.md

Details

From the project README

Amazon Shopping

Search Amazon, verify product facts on product pages, and return ranked recommendations.

Requirements Gate

Before browser automation, ask directly for any missing shopping constraints:

  • Budget or comfortable price range
  • Usage context: personal, gift, professional, compatibility need, etc.
  • Deal-breakers: required features, avoided brands/materials, shipping needs

If the user already supplied enough constraints, proceed.

Browser Access

Open Amazon through the normal browser surface available in the current environment. Prefer Chrome when that is how Codex usually interacts with web pages here; if another browser or page-interaction path is available, use that.

Keep the same browser page or session for search and product verification when possible. Leave Amazon open only when the user explicitly asks for it.

Workflow

  1. Search Amazon directly at https://www.amazon.com/s?k=<encoded search query>.

  2. Extract product names and ASINs from the same result container. Never pair a list of names with a separate list of ASINs.

  3. Visit each candidate product page before presenting it.

  4. Keep only products whose product page confirms title match, current price, rating, and review count.

  5. Rank by the user's criteria. When ratings are within 0.5 stars, prefer the product with more reviews.

Read references only when needed:

Output Rules

  • Present only product-page-verified items.
  • Use clean links: https://www.amazon.com/dp/<ASIN>.
  • Include ASIN, product-page price, rating, review count, why it matches, and key trade-offs.
  • Mark each item (verified) only after product-page title, price, rating, and review count were checked.

Comments

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