Individual skill

webshop-query-parser

This skill extracts key constraints and product requirements from a user's shopping query. It should be triggered when the agent receives a new shopping instruction, to identify product attributes (e.g., 'gluten free'), price limits (e.g., 'lower than 140.00 dollars'), and other specifications. The skill outputs a structured set of search criteria to guide subsequent product discovery.

experiments/src/skills/webshop/webshop-query-parser/SKILL.md

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Last checked: Nov 7, 2026

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Repository stars (not skill ratings): 1,450
Repository last updated: Nov 2, 2026
License: MIT

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ai-agents Repository topic
ai-skills Repository topic
artificial-intelligence Repository topic
knowledge-graph Repository topic
large-language-models Repository topic
natural-language-processing Repository topic
openkg Repository topic
skills Repository topic
skillnet Repository topic
engineering Derived category

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SKILL.mdcore · 2,652 bytes
references/query_components.mddoc · 2,217 bytes

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# Instructions

## When to Use
Activate this skill immediately when a new shopping instruction is received from the user, before any search or click actions are performed.

## Core Task
Parse the user's natural language instruction to extract structured search criteria. Your goal is to identify:
1.  **Product Type/Name:** The primary item the user wants (e.g., "popcorn").
2.  **Key Attributes:** Descriptive features like "gluten free", "organic", "vegan", etc.
3.  **Price Constraints:** Any upper or lower price limits (e.g., "lower than 140.00 dollars").
4.  **Other Specifications:** Brand, size, quantity, or other qualifying terms.

## Procedure
1.  **Run the Parser:** Execute the bundled script `parse_query.py` on the user's instruction.
2.  **Review & Refine:** Examine the script's output. If the instruction is complex or ambiguous, use your judgment to refine the criteria. For example, ensure price limits are correctly interpreted as numeric ranges.