Individual skill
webshop-query-interpreter
Interprets a user's shopping query to extract key product requirements such as item type, attributes, and constraints. Use when a new shopping instruction is received and you need to parse natural language into structured criteria (product category, desired features, price limits) before performing a search. The output is a clear set of search parameters for use in subsequent product lookup steps.
experiments/src/skills/webshop/webshop-query-interpreter/SKILL.md
Source commit edfbda23ac2108b59579300d050218558d20f6a6
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- Yes
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- Yes
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- Observed behavior
- Instructions only
- Last checked
- Nov 7, 2026
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- 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 · 2,502 bytesreferences/execution_example.mddoc · 252 bytesreferences/query_patterns.mddoc · 2,002 bytes
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# Instructions
## Trigger
Activate this skill when a new shopping instruction is received from the user. The instruction will be a natural language request for a product.
## Core Process
1. **Parse the Instruction:** Analyze the user's query to identify the following key components:
* **Primary Product Type:** The main item being requested (e.g., "hair extension").
* **Key Attributes/Features:** Descriptive requirements (e.g., "long", "clip-in", "natural looking").
* **Constraints:** Hard limits, especially price (e.g., "price lower than 40.00 dollars").
2. **Structure the Output:** Format the extracted information into a clear, structured set of search parameters. Use the following template:
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