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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。
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。
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.
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 | Description | Example |
|---|---|---|
| keyword | Search keyword (must be translated to the target marketplace language) | wireless charger |
| 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 |
| 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
POST /jiimore/productDiscovery（完整参数/响应/错误码见 references/api.md）python scripts/jiimore_product_discovery.py '' [--inline]输出策略（脚本默认行为）：
/linkfox///data/linkfox-jiimore-product-discovery-.json（ 为脚本执行时的工作目录，在 Claude Code 里即当前项目目录； 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）total/costToken、最大列表字段的长度 + 前 3 条样本）--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。
发生以下异常情况时，采用 references/onboarding.md 引导解决问题：
LINKFOX_AGENT_API_KEY，也未配置 LINKFOXAGENT_API_KEY。1. Find high-conversion wireless chargers in the US market
{
"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%)
{
"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)
{
"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
{
"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
{
"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
{
"keyword": "yoga mat",
"countryCode": "US",
"clickConversionRateCompositeMin": 0.15,
"nicheCountMin": 3,
"sortField": "clickConversionRateComposite",
"sortType": "desc"
}
yyyyMMdd000000 format exactly (e.g., 20250101000000)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:
消耗 9 积分。
用户会因积分消耗而支付费用。请充分评估：当需要高频调用本技能，或用户对积分消耗量预期不足时，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:
Call the feedback API as specified in references/api.md. Do not interrupt the user's flow.
For more high-quality, professional cross-border e-commerce skills, set LinkFox Skills.
查询并分析极目数据的亚马逊细分市场洞察，包括市场指标、买家评论、竞争格局、价格走势和增长趋势。当用户提到细分市场分析、市场洞察、细分市场数据、市场竞争分析、品牌集中度、新品上架成功率、断货率、价格趋势、评论洞察、市场需求评分、niche market insights, market metrics, competition analysis, price trends, growth trends, Jiimore data, market intelligence, out-of-stock rate时触发此技能。即使用户未明确提及"极目"或"细分市场"，只要其需求涉及通过市场ID查询特定亚马逊细分市场的市场级情报，也应触发此技能。
按ASIN查找亚马逊同细分市场（Niche）竞品，支持点击转化率、综合转化率、点击量、销量、评论、评分、价格、毛利率等多维度筛选潜力竞品。当用户提到同细分竞品、ASIN竞品挖掘、Niche竞品分析、同类商品对标、ASIN对标分析、细分市场竞品列表、高转化竞品筛选、极目产品挖掘、niche competitor by ASIN, ASIN competitor analysis, same niche products, similar products discovery, conversion rate comparison, potential competitor screening, Jiimore ASIN mining时触发此技能。即使用户未明确提及"细分市场"或"Niche"，只要其需求涉及根据某个ASIN挖掘同细分下的竞品列表或筛选潜力竞品，也应触发此技能。
按关键词深度分析亚马逊细分市场，涵盖垄断程度、品牌集中度、新品成功率和市场机会评分。当用户提到细分市场分析、关键词市场调研、垄断评估、品牌集中度分析、新品成功率、市场需求评分、竞争格局、亚马逊子市场探索、niche market analysis, keyword market, monopoly level, brand concentration, new product success rate, market opportunity score, competitive landscape, Jiimore data时触发此技能。即使用户未明确提及"细分市场"，只要其需求涉及评估某个关键词维度的亚马逊市场竞争格局、品牌密度或机会潜力，也应触发此技能。
亚马逊细分市场评论分析与消费者情感洞察。当用户提到细分市场评论分析、消费者情感、用户痛点、客户反馈洞察、评论主题分析、好评差评拆解、细分市场舆情挖掘、产品评论情感分析、niche market reviews, consumer sentiment, customer pain points, review topic analysis, positive/negative reviews, opinion mining, Jiimore data时触发此技能。即使用户未明确提及"细分市场评论"，只要其需求涉及分析亚马逊细分市场中的消费者评论或理解细分市场层面的客户情感，也应触发此技能。
在 10 个亚马逊站点按月销量、价格、BSR、LQS、评论、评分、卖家类型等多条件筛选商品。
亚马逊反向选品：基于历史商业洞察报告沉淀的指标数据池，按 30+ 项商业维度（市场规模与增长、价格区间与档位份额、竞争密度与头部集中度、人群画像如年龄/性别/收入、评论卖点与痛点等）反向筛选亚马逊赛道与关键词。当用户提到反向选品、指标筛选、细分市场反查、蓝海赛道挖掘、低竞争赛道、新人友好赛道、品牌分散市场、痛点切入、卖点反查、定价档位机会、人群画像选品、Amazon niche reverse search, niche metrics filter, low-competition niche, blue ocean niche, demographic-based selection, pain-point niche, price tier opportunity, sweet spot pricing, brand fragmentation时触发此技能。即使用户未明确说"反向选品"，只要其需求是按商业维度筛选符合条件的亚马逊赛道，也应触发此技能。