webshop-result-filter
$
npx mdskill add zjunlp/SkillNet/webshop-result-filterFilter products by price, features, and ratings instantly.
- Identifies items matching specific user constraints from search results.
- Depends on product listings containing price, features, and ratings.
- Selects only products satisfying all extracted criteria before output.
- Returns a filtered subset of items ready for further inspection.
SKILL.md
.github/skills/webshop-result-filterView on GitHub ↗
---
name: webshop-result-filter
description: >-
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.
---
# 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>]`
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