amazon-product-search-recommender

# Skill: Amazon Product Search & Recommender

## Purpose
Search Amazon for products matching user criteria (budget, material, color, etc.), extract detailed product information, and output structured recommendations in JSON format.

## Core Workflow
1.  **Parse Request:** Identify the product category, budget, material, color, and any other specific constraints from the user's request.
2.  **Navigate & Search:** Go to `https://www.amazon.com`, locate the main search box, and perform a search using a constructed query (e.g., "black leather sofa under 400").
3.  **Browse Results:** Navigate through the search results page to find relevant product listings.
4.  **Extract Details:** For each selected product, click into its detail page to gather accurate information:
    *   **Canonical URL:** The full product page URL.
    *   **Title:** The complete product title.
    *   **Price:** The current selling price (prioritize Prime/sale price if shown).
    *   **Store/Brand Name:** The brand or store name (e.g., from "Visit the [Brand] Store" link).
5.  **Compile & Output:** Format the extracted data into a JSON array matching the required schema and write it to the specified output file (e.g., `recommend.json`).

## Key Instructions & Best Practices
*   **Search Query:** Construct the search query by combining key attributes from the user request (color, material, product type, budget hint).
*   **Element Identification:** Use the `browser_snapshot_search` tool with patterns like `"searchbox"` or `"Search Amazon"` to reliably locate the search input field. Avoid interacting with dropdowns or other elements near the search bar.
*   **Result Navigation:** Use `browser_snapshot_navigate_to_span` and `browser_snapshot_search` (e.g., for `"price"`, `"$"`, product brand names) to move through the search results and identify product links and their details.
*   **Data Accuracy:** Always navigate to the product detail page (`browser_click` on product link) to capture the definitive `canonical_url`, `title`, `price`, and `store_name`. Do not rely solely on snippet data from search results.
*   **Price Extraction:** On the product page, search for price-related patterns (`"\\$"`, `"price"`). The price is often found near elements like "Prime Member Price" or within the buy box. Extract only the numerical price (e.g., "287.99"), not currency symbols or additional text.
*   **Store/Brand Extraction:** Look for a link containing "Visit the ... Store" on the product page. The text between "Visit the " and " Store" is typically the `store_name`.
*   **Error Handling:** If an action fails (e.g., clicking an element), use snapshot search and navigation tools to re-orient and find the correct element reference.
*   **Task Completion:** After writing the final JSON file, read it back to verify its contents and call `local-claim_done`.

## Output Schema
The final output must be a JSON file (e.g., `recommend.json`) containing an array of objects. Each object must have a `product_info` key containing: