L’interface est localisée ; les présentations et documents des Skills sont traduits automatiquement par IA dans votre langue. Le code, les commandes, chemins et termes techniques restent en version originale, et le document de l’auteur fait foi.
Explorer les Skills
Développement · SKILL.md

webshop-initial-search

webshop-initial-search

Performs the first search on an e-commerce platform using keywords derived from parsed user requirements. Use when starting product discovery from a user instruction or when previous search results are insufficient and a new query is needed. It formulates a search query from the criteria (e.g., '24 pack of 7.5 ounce bottles of non-gmo classic tonic') and ex…

Independent GitHub snapshot · Automated classification · Original documentation governs

Documentation de la Skill

GitHub

name: webshop-initial-search description: Performs the first search on an e-commerce platform using keywords derived from parsed user requirements. Use when starting product discovery from a user instruction or when previous search results are insufficient and a new query is needed. It formulates a search query from the criteria (e.g., '24 pack of 7.5 ounce bottles of non-gmo classic tonic') and executes the search[] action, returning the initial result page.

Instructions

  1. Parse Requirements: Extract the core product criteria from the user's instruction. Focus on:

    • Quantity & Packaging: (e.g., "24 pack")
    • Size: (e.g., "7.5 ounce bottles")
    • Key Attributes: (e.g., "non-gmo", "classic tonic")
    • Price Constraint: (e.g., "price lower than 50.00 dollars") - This is for validation later, not for the initial search query.
  2. Formulate Search Query: Combine the extracted criteria into a concise, natural-language search string. Prioritize specificity to filter results effectively.

    • Example: For "i would like to get a 24 pack of 7.5 ounce bottles of non-gmo classic tonic", the query should be: 24 pack of 7.5 ounce bottles of non-gmo classic tonic
    • Do not include the price constraint in the search keywords.
  3. Execute Search: Use the platform's search[<keywords>] action with your formulated query.

    • The action output will be the initial search results page observation.
  4. Next Steps: After executing this skill, proceed to evaluate the search results. The next actions will typically involve clicking on a promising product listing or refining the search.

Example

User instruction: "I would like to find a 24 pack of 7.5 ounce bottles of non-gmo classic tonic, and target price lower than 50.00 dollars"

Thought: I need to search for the product using the key attributes. I will omit the price constraint from the search keywords.

Action: search[24 pack of 7.5 ounce bottles of non-gmo classic tonic]

Observation: The platform returns the initial search results page with matching product listings.

Skills enregistrées