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webshop-result-filter

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Filters search results by evaluating product listings against specific user constraints like price, features, or ratings. Use when you are on a search results page and need to systematically identify which products meet all given criteria before selecting one for closer inspection. Takes a list of products with their details and outputs a filtered subset that meets the defined requirements.

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How to use this skill

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  2. Copy the prompt below and paste it into your agent.
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Prompt to paste
I want to install this Agent Skill for this project in Codex.

Source SKILL.md: https://github.com/zjunlp/SkillNet/blob/HEAD/experiments/src/skills/webshop/webshop-result-filter/SKILL.md

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First, summarize what it does, its dependencies, license status if identifiable, and any risks. Show the exact files you propose to add under .agents/skills/webshop-result-filter/. Do not write files or run scripts until I approve.

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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. Validate Constraints: Confirm you have at least one constraint extracted before proceeding. If the instruction contains no filterable criteria, skip filtering and select the first available product.

  3. Parse the Observation: Extract the list of products from the search results page (Product ID, Title, Price, Rating if available).

  4. Apply Filters: For each product, check it against all extracted constraints:

    • Price Filter: Is the product price strictly below the user's maximum?
    • Keyword/Feature Filter: Does the title/description contain the required feature keywords?
    • Rating Filter: If a rating constraint exists, does the product meet the minimum?

  5. Output Decision: Select the first product that passes all criteria as the primary candidate for click[product_id]. If no product passes:

    • Try click[Next >] to check additional result pages.
    • If no more pages, use search[refined keywords] with adjusted terms.

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, click on it for more details:

Thought: [Summarize which constraints each product passed or failed, justify your selection.] Action: click[<matching_product_id>]