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#

ParameterDescriptionExamplekeywordSearch keyword (must be translated to the target marketplace language)wireless charger

Filtering Parameters#

ParameterDescriptionValue FormatpriceMin / priceMaxProduct price rangeNumber (e.g., 10.0, 50.0)totalReviewsMin / totalReviewsMaxReview count rangeInteger (e.g., 0, 500)customerRatingMin / customerRatingMaxCustomer rating rangeNumber (e.g., 4.0, 5.0)clickConversionRateMin / clickConversionRateMaxClick-to-purchase conversion rateDecimal 0-1 (0.1 = 10%)clickConversionRateCompositeMin / clickConversionRateCompositeMaxComposite conversion rateDecimal 0-1 (0.1 = 10%)clickCountT7Min / clickCountT7MaxWeekly click count rangeIntegerclickCountT30Min / clickCountT30MaxMonthly click count rangeIntegerclickCountGrowthT7Min / clickCountGrowthT7MaxWeekly click growth rateDecimal 0-1 (0.1 = 10%)clickCountGrowthT30Min / clickCountGrowthT30MaxMonthly click growth rateDecimal 0-1 (0.1 = 10%)salesVolumeT360Min / salesVolumeT360MaxAnnual sales volume rangeIntegergrossProfitMarginMin / grossProfitMarginMaxGross profit margin rangeNumberfbaFeeMin / fbaFeeMaxFBA fee rangeNumberlaunchDateMin / launchDateMaxListing date rangeString: yyyyMMdd000000nicheCountMin / nicheCountMaxNiche market count rangeIntegersellerCountrySeller origin country code(s), comma-separatedCN,UScountryCodeTarget marketplace (US, JP, DE)US

Sorting & Pagination#

ParameterDescriptionDefaultsortFieldSort by field (see options below)purchasedClicksT360sortTypeSort direction: desc or ascdescpagePage number1pageSizeResults per page (10-100)50

Available sort fields: totalReviews, price, launchDate, clickCountT7, clickCountT30, clickCountT90, clickConversionRate, clickConversionRateComposite, customerRating, purchasedClicksT360, clickCountGrowthT7, clickCountGrowthT30, currentPrice, fbaFee, shippingFee, gpm

调用方式#

• API 端点： POST /jiimore/productDiscovery（完整参数/响应/错误码见 references/api.md）
• Python 脚本： python scripts/jiimore_product_discovery.py '<JSON 参数>' [--inline]
• 成本约束：本工具会消耗算力；同一会话同一参数组合默认只调用一次，脚本带 24h 本地缓存。失败/空结果不得自动换关键词、翻页或改邮编连续试探；需要继续检索时先向用户说明会产生额外消耗。

输出策略（脚本默认行为）：

• 始终 将完整响应写入 <cwd>/linkfox/<YYYY-MM-DD>/<session>/data/linkfox-jiimore-product-discovery-<timestamp>.json（ <cwd> 为脚本执行时的工作目录，在 Claude Code 里即当前项目目录； <session> 取自环境变量 SESSION_ID，按用户任务自动聚合； 禁止写入 /tmp，当前目录不可写则报错）
• 响应体 ≤ 8 KB：落盘后把完整 JSON 打印到 stdout
• 响应体 > 8 KB：落盘后 stdout 只输出摘要（顶层字段、常见计数如 total/ costToken、最大列表字段的长度 + 前 3 条样本）
• 加 --inline 强制全量打印到 stdout（同样落盘）

读数据建议：先看摘要判断是否足够；需要具体字段时优先用 jq 或 ConvertFrom-Json 从保存的 json 文件按需抽取，避免整份 JSON 进入上下文。

解决认证和算力问题#

发生以下异常情况时，采用 references/onboarding.md 引导解决问题：

异常情况#

• 未配置API Key：环境变量未配置 LINKFOX_AGENT_API_KEY，也未配置 LINKFOXAGENT_API_KEY。
• 响应401或402状态码
• 响应提示算力或余额不足：消息含"算力余额不足/计费不足/余额不足/quota exceeded/insufficient balance/套餐到期/需充值/请充值"，或类似含义的内容。

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 SaysScenario"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

算力消耗规则#

消耗 9 算力。

用户会因算力消耗而支付费用。请充分评估：当需要高频调用本技能，或用户对算力消耗量预期不足时，务必提醒用户，由用户决定是否继续。

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.

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