← 返回 Skills 市场
linkfox-ai

Jiimore Product Discovery

作者 linkfox-ai · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
85
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install linkfox-jiimore-product-discovery
功能描述
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 selecti...
使用说明 (SKILL.md)

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

{
  "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"
}

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.


For more high-quality, professional cross-border e-commerce skills, set LinkFox Skills.

安全使用建议
This skill appears to perform the product-discovery function it claims, but it requires an API key (LINKFOXAGENT_API_KEY) to call an external LinkFox / Jiimore endpoint — that key is not declared in the registry metadata. Before installing or using: (1) confirm the skill publisher and verify the LinkFox domains (tool-gateway.linkfox.com and skill-api.linkfox.com) are legitimate for your organization; (2) require the publisher to update the skill metadata to declare LINKFOXAGENT_API_KEY so you know what secret the skill needs; (3) avoid re-using any high-privilege or long-lived API key — create a scoped, revocable key for this skill if possible; (4) review privacy/data policies: queries and returned product data are sent to an external service; do not include sensitive data in queries. If you cannot verify the publisher or the endpoint, treat the skill as risky and do not provide your API key.
功能分析
Type: OpenClaw Skill Name: linkfox-jiimore-product-discovery Version: 1.0.0 The skill bundle is a legitimate tool for Amazon product discovery using the Jiimore API. The Python script (jiimore_product_discovery.py) uses standard libraries to make authorized POST requests to a specified LinkFox gateway, and the documentation (SKILL.md, api.md) provides clear, functional instructions for the agent without any signs of malicious intent or prompt injection attacks.
能力评估
Purpose & Capability
Name/description (Amazon product mining via Jiimore/LinkFox) match the included API reference and the provided script: the skill's functionality (keyword-driven product discovery) is coherent with calling the jiimore/productDiscovery endpoint.
Instruction Scope
SKILL.md and references/api.md instruct the agent to POST to https://tool-gateway.linkfox.com/jiimore/productDiscovery and to send an Authorization header containing LINKFOXAGENT_API_KEY. The included script enforces presence of that env var. However the skill registry metadata declares no required env vars — the runtime instructions thus access an undeclared secret and an external endpoint, which is a scope mismatch that should be resolved before trusting the skill.
Install Mechanism
No install spec; the skill is instruction-only with a small helper script. No third-party package downloads or archive extraction are present, so install-time risk is low.
Credentials
Although the skill only needs one API key to call the external Jiimore API, the required environment variable (LINKFOXAGENT_API_KEY) is not declared in the skill metadata. The variable name is generic and could be used for other LinkFox/agent integrations — the omission prevents users from understanding credential scope and whether this key grants broader access elsewhere.
Persistence & Privilege
always is false and the skill does not request persistent/automatic installation privileges. It does not attempt to modify other skills or system-wide settings. Autonomous invocation remains allowed (platform default) but is not combined with other high-privilege behavior here.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install linkfox-jiimore-product-discovery
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /linkfox-jiimore-product-discovery 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Initial release
元数据
Slug linkfox-jiimore-product-discovery
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Jiimore Product Discovery 是什么?

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 selecti... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 85 次。

如何安装 Jiimore Product Discovery?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install linkfox-jiimore-product-discovery」即可一键安装,无需额外配置。

Jiimore Product Discovery 是免费的吗?

是的,Jiimore Product Discovery 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Jiimore Product Discovery 支持哪些平台?

Jiimore Product Discovery 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Jiimore Product Discovery?

由 linkfox-ai(@linkfox-ai)开发并维护,当前版本 v1.0.0。

💬 留言讨论