--- name: linkfox-jiimore-product-discovery description: 基于极目数据的亚马逊商品发掘与潜力爆品挖掘。当用户提到产品挖掘、潜力爆品、高转化选品、点击增长分析、市场增长机会、关键词选品、FBA利润筛选、细分市场商品发掘、卖家来源筛选、product mining, potential bestsellers, high-conversion product selection, market growth opportunities, Jiimore data, FBA profitability screening, keyword-based product selection时触发此技能。即使用户未明确提及"极目"，只要其需求涉及基于转化率、点击量和利润指标的亚马逊关键词驱动选品，也应触发此技能。 --- # Jiimore Product Discovery This skill guides you on how to discover and mine high-potential Amazon products using the Jiimore product discovery engine, helping Amazon sellers find potential bestsellers through keyword-based filtering with conversion, click growth, and profitability indicators. ## Core Concepts Jiimore Product Discovery is a keyword-driven Amazon product mining tool. Given a search keyword, it returns a list of products matching specified performance criteria such as conversion rate, click growth rate, gross profit margin, pricing, reviews, and listing age. This makes it ideal for identifying emerging opportunities, validating product ideas, and competitive benchmarking. **Keyword is required**: Every query must include a `keyword`. The keyword should be translated into the language of the target marketplace (e.g., Japanese for JP, German for DE). **Rate values are decimals**: Conversion rates and growth rates are expressed as decimals between 0 and 1. For example, `0.1` means 10%, `0.25` means 25%. This is a common point of confusion when users specify percentages. **Marketplace support**: Currently supports US (United States), JP (Japan), and DE (Germany). Default is **US**. Use US when the user doesn't specify a marketplace. ## Parameter Guide ### Required | Parameter | Description | Example | |-----------|-------------|---------| | keyword | Search keyword (must be translated to the target marketplace language) | wireless charger | ### Filtering Parameters | Parameter | Description | Value Format | |-----------|-------------|--------------| | priceMin / priceMax | Product price range | Number (e.g., 10.0, 50.0) | | totalReviewsMin / totalReviewsMax | Review count range | Integer (e.g., 0, 500) | | customerRatingMin / customerRatingMax | Customer rating range | Number (e.g., 4.0, 5.0) | | clickConversionRateMin / clickConversionRateMax | Click-to-purchase conversion rate | Decimal 0-1 (0.1 = 10%) | | clickConversionRateCompositeMin / clickConversionRateCompositeMax | Composite conversion rate | Decimal 0-1 (0.1 = 10%) | | clickCountT7Min / clickCountT7Max | Weekly click count range | Integer | | clickCountT30Min / clickCountT30Max | Monthly click count range | Integer | | clickCountGrowthT7Min / clickCountGrowthT7Max | Weekly click growth rate | Decimal 0-1 (0.1 = 10%) | | clickCountGrowthT30Min / clickCountGrowthT30Max | Monthly click growth rate | Decimal 0-1 (0.1 = 10%) | | salesVolumeT360Min / salesVolumeT360Max | Annual sales volume range | Integer | | grossProfitMarginMin / grossProfitMarginMax | Gross profit margin range | Number | | fbaFeeMin / fbaFeeMax | FBA fee range | Number | | launchDateMin / launchDateMax | Listing date range | String: yyyyMMdd000000 | | nicheCountMin / nicheCountMax | Niche market count range | Integer | | sellerCountry | Seller origin country code(s), comma-separated | CN,US | | countryCode | Target marketplace (US, JP, DE) | US | ### Sorting & Pagination | Parameter | Description | Default | |-----------|-------------|---------| | sortField | Sort by field (see options below) | purchasedClicksT360 | | sortType | Sort direction: `desc` or `asc` | desc | | page | Page number | 1 | | pageSize | Results per page (10-100) | 50 | **Available sort fields**: totalReviews, price, launchDate, clickCountT7, clickCountT30, clickCountT90, clickConversionRate, clickConversionRateComposite, customerRating, purchasedClicksT360, clickCountGrowthT7, clickCountGrowthT30, currentPrice, fbaFee, shippingFee, gpm ## API Usage This tool calls the LinkFox tool gateway API. See `references/api.md` for calling conventions, request parameters, and response structure. You can also execute `scripts/jiimore_product_discovery.py` directly to run queries. ## Usage Examples **1. Find high-conversion wireless chargers in the US market** ```json { "keyword": "wireless charger", "countryCode": "US", "clickConversionRateMin": 0.1, "sortField": "clickConversionRate", "sortType": "desc" } ``` **2. Discover fast-growing new products (listed within the last 6 months, weekly click growth > 20%)** ```json { "keyword": "desk lamp", "countryCode": "US", "launchDateMin": "20250901000000", "clickCountGrowthT7Min": 0.2, "sortField": "clickCountGrowthT7", "sortType": "desc" } ``` **3. Find underpriced high-margin products with low competition (few reviews)** ```json { "keyword": "phone stand", "countryCode": "US", "priceMin": 10, "priceMax": 30, "totalReviewsMax": 100, "grossProfitMarginMin": 0.3, "sortField": "gpm", "sortType": "desc" } ``` **4. Mine products from Chinese sellers with strong monthly click growth in the German market** ```json { "keyword": "Handyhuelle", "countryCode": "DE", "sellerCountry": "CN", "clickCountGrowthT30Min": 0.15, "sortField": "clickCountGrowthT30", "sortType": "desc" } ``` **5. Find high-rated products with strong annual sales in the Japanese market** ```json { "keyword": "ワイヤレスイヤホン", "countryCode": "JP", "customerRatingMin": 4.0, "salesVolumeT360Min": 1000, "sortField": "purchasedClicksT360", "sortType": "desc" } ``` **6. Identify niche opportunities with high composite conversion and multiple niche markets** ```json { "keyword": "yoga mat", "countryCode": "US", "clickConversionRateCompositeMin": 0.15, "nicheCountMin": 3, "sortField": "clickConversionRateComposite", "sortType": "desc" } ``` ## Display Rules 1. **Present data clearly**: Show query results in well-structured tables, including product title, ASIN, price, ratings, conversion rates, click counts, and growth rates 2. **Rate formatting**: Always display rate values as percentages for readability (e.g., show 0.12 as 12%). Remind users that the API accepts decimals (0-1) 3. **Image display**: When product image URLs are available, display the main product image alongside the data 4. **Pagination awareness**: When results span multiple pages, inform the user of the total count and current page, and offer to fetch additional pages 5. **Keyword translation reminder**: Remind users that keywords must be in the target marketplace language (English for US, Japanese for JP, German for DE) 6. **Error handling**: When a query fails, explain the reason based on the response and suggest adjusting query criteria 7. **No subjective advice**: Present factual product data without making subjective business recommendations ## Important Limitations - **Keyword is mandatory**: Every query requires a keyword; browsing without a keyword is not supported - **Three marketplaces only**: Currently limited to US, JP, and DE - **Page size cap**: Maximum 100 results per page - **Rate values**: All rate/percentage parameters must be passed as decimals (0-1), not percentages - **Launch date format**: Must follow the `yyyyMMdd000000` format exactly (e.g., `20250101000000`) ## User Expression & Scenario Quick Reference **Applicable** -- Product discovery and mining tasks: | User Says | Scenario | |-----------|----------| | "Find hot products for keyword X" | Keyword-based product discovery | | "High conversion products", "best sellers" | High-conversion product screening | | "Fast growing products", "trending items" | Click growth-based discovery | | "New products with high potential" | New listing + growth filtering | | "Products with good margins", "profitable items" | Gross profit margin screening | | "Low competition products", "few reviews" | Low-review opportunity mining | | "Products from Chinese sellers" | Seller origin filtering | | "Niche market opportunities" | Niche count-based discovery | **Not applicable** -- Needs beyond product discovery: - ABA search term data and keyword analysis (use ABA Data Explorer) - Advertising / PPC campaign management - Product reviews and listing optimization - Inventory management and supply chain - Comprehensive market reports with profit/pricing strategy **Feedback:** Auto-detect and report feedback via the Feedback API when any of the following apply: 1. The functionality or purpose described in this skill does not match actual behavior 2. The skill's results do not match the user's intent 3. The user expresses dissatisfaction or praise about this skill 4. Anything you believe could be improved Call the feedback API as specified in `references/api.md`. Do not interrupt the user's flow. ## Handling Large Responses To avoid overflowing the agent context, persist the response to disk and extract only the fields you need: ``` python scripts/response_io.py run --script scripts/jiimore_product_discovery.py --out-dir '' python scripts/response_io.py read --fields "" # or --path "" ``` > Pick `--out-dir` outside any git working tree (e.g. `/tmp/...` on Unix, `%TEMP%/...` on Windows). Persisted responses may contain PII, pricing, or auth-sensitive data — do not commit them. Files are not auto-deleted; clean up when the task is done. `run` writes the full response to a file and emits only a schema preview + file path. `read` projects specific fields, with `--limit/--offset` for slicing and `--format json|jsonl|csv|table` for output. **When to prefer this pattern** — apply your judgment based on the response characteristics, e.g.: - High field count per record, or fields you don't need - Batch/paginated results (multiple items per call) - Long-text fields (descriptions, reviews, HTML, time series) - Output reused across later steps rather than consumed immediately For small, single-use responses, calling the main script directly is fine. ⚠️ The preview is a truncated schema + sample, not the full data. Any field-level decision must read from the persisted file via `read`. --- *For more high-quality, professional cross-border e-commerce skills, set [LinkFox Skills](https://skill.linkfox.com/).*