--- name: amazon-product-search-recommender description: When the user wants to search for specific products on Amazon within budget constraints and generate structured recommendations. This skill navigates to Amazon.com, performs targeted searches using specific criteria (price range, material, color), browses search results, extracts product details (title, price, store/brand, URL), and compiles recommendations into a structured JSON format. Triggers include requests for product recommendations, shopping assistance, budget-constrained searches, or when users need to find specific items on Amazon with detailed specifications. --- # 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: --- Source attribution: zjunlp Original project: https://github.com/zjunlp/SkillNet/blob/665926a2fe4c564dcd79ea54c5246dc8e07cde39/skills/benchmark_skills/toolathlon/amazon-product-search-recommender/SKILL.md License: MIT License information: https://opensource.org/license/mit Original upstream instructions; downloaded from Dave AI. ## Upstream license notice MIT License Copyright (c) 2026 ZJUNLP Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. # Dave AI resource metadata Creator / publisher: zjunlp Original project: https://github.com/zjunlp/SkillNet/blob/665926a2fe4c564dcd79ea54c5246dc8e07cde39/skills/benchmark_skills/toolathlon/amazon-product-search-recommender/SKILL.md Attribution basis: Recovered original package and original project license at a pinned revision Fields of work: Marketing, Sales Roles: Growth Marketer, Product Marketer, Sales Engineer Specialties: API Tools: Amazon Country applicability: Country not specified Classification basis: Source catalog labels Instruction SHA-256: 503f20d83e1efd40bc2bdb19256468d8f28895a9024b6c64097688fcda0a92b5 Metadata reviewed: 2026-10-27 This metadata supersedes earlier Dave AI catalog attribution. Original instruction and supporting files are preserved.