MCP App StoreMCP App Store
from awesome-omni-skill43
Parses shopping instructions into structured search criteria (product, attributes, price limits) to guide product discovery and searches.
This skill parses a user's natural-language shopping instruction into a structured set of search criteria: product type/name, key attributes (e.g., gluten free, organic), numeric price constraints, and other qualifiers like brand or size. It provides a small procedure for running a bundled parser and refining results before forming search queries.
Activate immediately when the agent receives a shopping request or product search instruction—before performing web searches or clicks. Use it to extract must-have attributes and price limits so subsequent actions can filter and validate listings.
parse_query.py parser in the skill (has_scripts=false according to fetch, but the SKILL.md instructs running a bundled script when available).Useful for agents involved in e-commerce flows or browsing automation (agents that can run small helper scripts or interpret parser output to guide searches).
Webshop Query Parser is designed to extract structured search criteria (product, attributes, price limits) from natural language shopping instructions. The SKILL.md references a bundled script parse_query.py that was not included in the skill package, so the core functionality cannot actually execute. Instructions are clear but effectively incomplete without the missing script. Niche use case tied to the WebShop benchmark environment.
No scripts present to audit. The skill claims to have a parse_query.py script in its procedure but none was bundled. This makes the skill non-functional as-is. SKILL.md writing quality is decent with clear steps and examples, but the missing script is a critical gap.
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