This skill interprets a user's shopping query to extract key product requirements such as item type, attributes, and constraints. It should be triggered when a new shopping instruction is received, parsing natural language into structured criteria (e.g., product category, desired features, price ...
---
name: webshop-query-interpreter
description: This skill interprets a user's shopping query to extract key product requirements such as item type, attributes, and constraints. It should be triggered when a new shopping instruction is received, parsing natural language into structured criteria (e.g., product category, desired features, price limits). The output is a clear set of search parameters for use in subsequent product lookup steps.
---
# 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:
---
name: webshop-query-interpreter
description: This skill interprets a user's shopping query to extract key product requirements such as item type, attributes, and constraints. It should be triggered when a new shopping instruction is received, parsing natural language into structured criteria (e.g., product category, desired features, price limits). The output is a clear set of search parameters for use in subsequent product lookup steps.
---
# 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:
Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.