Agent skill

Linkfox Jiimore Product Discovery

by linkfox-ai in linkfox-ai/linkfox-skills

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…

MITAuto-check passedProduct & Project Management

Install Linkfox Jiimore Product Discovery

skills CLI
$ npx skills add linkfox-ai/linkfox-skills --skill linkfox-jiimore-product-discovery -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install linkfox-ai/linkfox-skills linkfox-jiimore-product-discovery --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/linkfox-ai/linkfox-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/linkfox-jiimore-product-discovery .claude/skills/linkfox-jiimore-product-discovery && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
linkfox-jiimore-product-discovery
GitHub stars
107
Used in
1 other repo
Token cost
~2.4k tokens
SKILL.md length
926 words
Files
5 (incl. scripts, references)
Skills in repo
177
Repo updated
First seen
Licence
MIT

At a glance

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…

  • Works in 7 steps: Present data clearly: Show query results… → Rate formatting: Always display rate… → Image display: When product image URLs… → …
  • Product & Project Management work in your project
  • SKILL.md covers Core Concepts, Parameter Guide, 调用方式 and 解决认证和算力问题, plus 5 more sections
  • Runs Python scripts from its folder; calls python; needs LINKFOX_AGENT_API_KEY and LINKFOXAGENT_API_KEY

What it does

Linkfox Jiimore Product Discovery is an agent skill from linkfox-ai/linkfox-skills. 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。

Its SKILL.md is about 2.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts and reference files (for example `references/api.md`, `references/onboarding.md` and `scripts/jiimore_product_discovery.py`).

It sits in Product & Project Management. The licence is MIT.

When your agent uses it

  • Product & Project Management work in your project

Example prompts

  • “/linkfox-jiimore-product-discovery”

Requirements

  • Python 3
  • A credential in LINKFOX_AGENT_API_KEY
  • A credential in LINKFOXAGENT_API_KEY

Workflow steps

7 steps, taken from the first numbered list in SKILL.md.

  1. Present data clearly: Show query results in well-structured tables, including product title, ASIN, price, ratings, conversion rates, click…
  2. Rate formatting: Always display rate values as percentages for readability (e.g., show 0.12 as 12%). Remind users that the API accepts…
  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…
  5. Keyword translation reminder: Remind users that keywords must be in the target marketplace language (English for US, Japanese for JP…
  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

What it can do on your machine

Read from SKILL.md and the folder at commit 38fef04. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 2 files in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • skill.linkfox.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • LINKFOX_AGENT_API_KEY
    • LINKFOXAGENT_API_KEY

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Linkfox Jiimore Product Discovery loads about 2.4k tokens when it runs, and up to ~4.9k if it reads all its reference files. Until then it costs about 90 tokens; SKILL.md has 926 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~90
When it runs · the whole SKILL.md, loaded when a task matches
~2.4k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~4.9k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from linkfox-ai/linkfox-skills at commit 38fef04, republished under its MIT licence (© linkfox-ai). 926 words, ~2,439 tokens.

Download SKILL.mdSave it as .claude/skills/linkfox-jiimore-product-discovery/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
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
ParameterDescriptionExample
keywordSearch keyword (must be translated to the target marketplace language)wireless charger
Filtering Parameters
ParameterDescriptionValue Format
priceMin / 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 rangeInteger
clickCountT30Min / clickCountT30MaxMonthly click count rangeInteger
clickCountGrowthT7Min / clickCountGrowthT7MaxWeekly click growth rateDecimal 0-1 (0.1 = 10%)
clickCountGrowthT30Min / clickCountGrowthT30MaxMonthly click growth rateDecimal 0-1 (0.1 = 10%)
salesVolumeT360Min / salesVolumeT360MaxAnnual sales volume rangeInteger
grossProfitMarginMin / grossProfitMarginMaxGross profit margin rangeNumber
fbaFeeMin / fbaFeeMaxFBA fee rangeNumber
launchDateMin / launchDateMaxListing date rangeString: yyyyMMdd000000
nicheCountMin / nicheCountMaxNiche market count rangeInteger
sellerCountrySeller origin country code(s), comma-separatedCN,US
countryCodeTarget marketplace (US, JP, DE)US
Sorting & Pagination
ParameterDescriptionDefault
sortFieldSort by field (see options below)purchasedClicksT360
sortTypeSort direction: desc or ascdesc
pagePage number1
pageSizeResults 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"
}
Show full SKILL.md (406 more words)Show less

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.


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

© linkfox-ai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 4 other files (scripts, references) in skills/linkfox-jiimore-product-discovery of linkfox-ai/linkfox-skills.

  • SKILL.md
  • references/api.md
  • references/onboarding.md
  • scripts/jiimore_product_discovery.py
  • scripts/onboarding.py

Open the folder on GitHubat commit 38fef04

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in linkfox-ai/linkfox-skills, which our catalogue first saw on October 7, 2026.

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Questions about Linkfox Jiimore Product Discovery

What does Linkfox Jiimore Product Discovery do?

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…. Linkfox Jiimore Product Discovery is an agent skill from linkfox-ai/linkfox-skills.

When should I use Linkfox Jiimore Product Discovery?

Linkfox Jiimore Product Discovery fits situations like: product & Project Management work in your project.

How do I install Linkfox Jiimore Product Discovery in Claude Code?

Run `npx skills add linkfox-ai/linkfox-skills --skill linkfox-jiimore-product-discovery -a claude-code`. Or copy the skill folder (skills/linkfox-jiimore-product-discovery in linkfox-ai/linkfox-skills) into .claude/skills/linkfox-jiimore-product-discovery in your project. Claude Code loads it when a task matches its description.

How do I install Linkfox Jiimore Product Discovery in Codex?

Run `npx skills add linkfox-ai/linkfox-skills --skill linkfox-jiimore-product-discovery -a codex`. Or copy the skill folder (skills/linkfox-jiimore-product-discovery in linkfox-ai/linkfox-skills) into .agents/skills/linkfox-jiimore-product-discovery in your project. Codex loads it when a task matches its description.

Can I use Linkfox Jiimore Product Discovery in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add linkfox-ai/linkfox-skills --skill linkfox-jiimore-product-discovery -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/linkfox-jiimore-product-discovery, .gemini/skills/linkfox-jiimore-product-discovery, .github/skills/linkfox-jiimore-product-discovery and .opencode/skills/linkfox-jiimore-product-discovery in your project.

What does Linkfox Jiimore Product Discovery need to run?

Going by SKILL.md and its folder, Linkfox Jiimore Product Discovery needs Python for the scripts in its folder, the command-line tools its instructions call (python) and credentials named LINKFOX_AGENT_API_KEY and LINKFOXAGENT_API_KEY. Our summary lists: Python 3; A credential in LINKFOX_AGENT_API_KEY; A credential in LINKFOXAGENT_API_KEY.

Does Linkfox Jiimore Product Discovery access the network?

SKILL.md names 1 domain. As links in the text: skill.linkfox.com. This is read from the text; nothing was executed.

Is Linkfox Jiimore Product Discovery safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Linkfox Jiimore Product Discovery use?

Linkfox Jiimore Product Discovery is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Linkfox Jiimore Product Discovery use?

About 2.4k tokens (SKILL.md is roughly 9.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.4k tokens, read only when the agent opens those files.

What are the alternatives to Linkfox Jiimore Product Discovery?

Skills that share tags, products or a category with Linkfox Jiimore Product Discovery: User Story Writer (deanpeters/Product-Manager-Skills, 7.2k stars), Game Changing Features (openstatusHQ/data-table-filters, 2.3k stars), CCPM Project Management (automazeio/ccpm, 8.4k stars) and Convex Create Component (spokvulcan/poker-planning, 115 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Linkfox Jiimore Product Discovery?

linkfox-ai (a GitHub user) maintains it in linkfox-ai/linkfox-skills, which has 107 GitHub stars. The repository holds 177 skills in this directory. The repository was last updated on September 14, 2026.

Source: linkfox-ai/linkfox-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.