webshop-result-filter

name	webshop-result-filter
description	This skill filters search results by evaluating product listings against specific user constraints like price, features, or ratings. It should be triggered when reviewing a page of search results to identify items that match all given criteria. The skill takes a list of products with their details and outputs a subset that meets the defined requirements for closer inspection.

Skill: webshop-result-filter

When to Use

Activate this skill when you are on a search results page in a web shopping environment and need to systematically evaluate which products meet a user's specific, multi-faceted requirements (e.g., "price lower than 40.00 dollars" AND "natural looking").

Core Instruction

1. Parse the Instruction: Extract the user's constraints from the instruction. Common constraints include:

   • Price: A maximum or target price (e.g., price lower than 40.00 dollars).
   • Features: Specific attributes or keywords (e.g., natural looking, long, clip-in).
   • Ratings: A minimum rating threshold (if available in the observation).

2. Parse the Observation: Extract the list of products from the search results page. Each product listing typically contains:

   • A Product ID/ASIN (e.g., B09C337K8S).
   • A Title/Description.
   • A Price.
   • A Rating (if available).

3. Apply Filters: For each product in the list, check it against all extracted user constraints.

   • Price Filter: Compare the product's price to the user's maximum price. Convert prices to numerical values for comparison.
   • Keyword/Feature Filter: Check if the product's title/description contains keywords related to the required features (e.g., "natural").
   • Rating Filter: If a rating constraint exists and the product has a rating, ensure it meets the minimum.

4. Output Decision: Identify the first product in the filtered list that passes all criteria. This becomes the primary candidate for the next action (click[product_id]). If no product passes all filters, you may need to refine the search.

Example from Trajectory

• User Instruction: i need a long clip-in hair extension which is natural looking, and price lower than 40.00 dollars
• Extracted Constraints:
  • price < 40.00
  • Keywords: natural (implied from "natural looking")
• Observation (First Page): Contains ~10 products with IDs, titles, and prices.
• Filtering Process:
  1. B09C337K8S: Price $29.99 (< $40.00). Title contains "Natural Looking". PASSES.
  2. B093BKWHFK: Price $63.99 (> $40.00). FAILS on price.
  3. B099K9Z9L2: Price $43.99 (> $40.00). FAILS on price.
• Result: B09C337K8S is selected as the top matching candidate.

Next Action

After identifying a matching product, the recommended action is to click on it for more details: click[<matching_product_id>].

For complex filtering logic or to process large result sets, use the bundled script.