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Agent Skill · 研究检索

amazon-asin-data(亚马逊 asin 数据)

用于辅助数据整理、表格处理、CSV/Excel 分析、指标计算和图表准备。它适合让 Agent 清洗字段、汇总数据、发现异常、生成统计口径或把分析结果转成可读说明。使用时需要确认数据来源、字段含义和时间范围,避免把样本数据当全量事实;涉及敏感数据、导出文件或批量写回时,应先确认权限和脱敏边界。

amazon-asin-data 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;许可证为 MIT-0,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 31,715。

总安装 2,654周安装 114GitHub Stars 公开资料未说明下载 930核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.0

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:amazon-asin-data(亚马逊 asin 数据)
来源仓库:https://github.com/ctzys/amazon-asin-data
安装命令:
openclaw skills install amazon-asin-data
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install amazon-asin-data

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

深度解析指定ASIN的市场需求强度与竞争密度指标。适用于精细化选品决策与蓝海市场机会发现场景。amazon-asin-data 属于研究检索类 Skill,可作为该场景下的辅助能力补充。提供需求评分、价格弹性系数与库存周转率预测模型。依赖外部爬虫服务,存在数据更新延迟与反爬限制问题。

建议结合人工调研验证关键假设后再投入实际运营。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install amazon-asin-data;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

amazon-asin-data 怎么安装?

在终端执行 openclaw skills install amazon-asin-data。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

amazon-asin-data 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

amazon-asin-data 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

amazon-asin-data 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

amazon-asin-data 用的人多吗?

公开数据是累计安装 2,654 次,近一周安装 114 次,下载 930 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

amazon-asin-data 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
amazon-asin-data

亚马逊 asin 数据 · 本页

2,654—接触敏感数据MIT-0有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
jiimore
description
|

Jiimore - Amazon Niche Market Analysis

Jiimore (极目工具) provides comprehensive Amazon marketplace data for cross-border e-commerce product selection and market analysis. This skill enables you to query niche market information, analyze competition, evaluate demand, and identify profitable opportunities.

Setup

Before using this skill, ensure the LinkFoxAgent API key is configured:

export LINKFOXAGENT_API_KEY="your_api_key_here"

Users can obtain their API key from the LinkFoxAgent dashboard.

Core Capabilities

Market Analysis

  • Search Amazon niche markets by keyword with automatic translation
  • Analyze demand scores and market opportunities
  • Evaluate competition levels and brand concentration
  • Review price ranges and profit margins
  • Track sales trends and growth rates

Data Metrics

  • Sales Data: Weekly (T7) and quarterly (T90) sales volumes and trends
  • Traffic Data: Search volumes, click counts, conversion rates
  • Competition: Brand counts, TOP5 brand/product click shares
  • Pricing: Average, minimum, maximum prices with profit margin analysis
  • Product Lifecycle: New product launch rates, success rates, return rates
  • Advertising: ACOS (Advertising Cost of Sales), CPC data

Usage Examples

Basic Market Search

User: "Analyze the bluetooth market in the US"

The skill will:

  1. Translate keyword to target market language if needed
  2. Query Amazon US marketplace data for "bluetooth"
  3. Return top 50 results sorted by 7-day sales volume
  4. Present key metrics: demand score, price range, competition level

Advanced Filtering

User: "Find low-competition, high-demand niches with brand concentration under 30%"

The skill will:

  1. Apply filters: brandCountMax=50, top5BrandsClickShareMax=0.3
  2. Sort by demand score
  3. Identify opportunities with less brand dominance

User: "Show me niches with product count 50-200, average price $20-50, and low return rate"

The skill will:

  1. Set productCountMin=50, productCountMax=200
  2. Set avgPriceMin=20, avgPriceMax=50
  3. Filter returnRateT360Max=0.1 (10% max return rate)
  4. Return matching opportunities

Natural Language to Parameters

The skill automatically converts natural language queries to API parameters:

Country Selection

  • "US", "United States", "America" → countryCode: "US"
  • "Japan", "JP" → countryCode: "JP"
  • "Germany", "DE", "Deutschland" → countryCode: "DE"

Sorting Preferences

  • "by sales", "top selling" → sortField: "unitsSoldT7"
  • "by demand", "highest demand" → sortField: "demand"
  • "by price" → sortField: "avgPrice"
  • "by search volume" → sortField: "searchVolumeT7"

Competition Filters

  • "low competition" → suggests brandCountMax, top5BrandsClickShareMax
  • "high demand" → sorts by demand descending
  • "few products" → sets productCountMax
  • "established brands" → sets avgBrandAgeMin

Quality Filters

  • "low return rate" → sets returnRateT360Max
  • "high profit margin" → sets profitRate50Min
  • "good conversion" → sets searchConversionRateT7Min

Response Structure

Key Fields Explained

Market Identification

  • nicheTitle: Niche market title (English)
  • translationZh: Chinese translation
  • nicheId: Unique market identifier
  • demand: Market demand score (0-100, higher is better)

Pricing

  • avgPrice: Average product price
  • minimumPrice: Lowest price in niche
  • maximumPrice: Highest price in niche
  • profitMarginGt50PctSkuRatio: Ratio of products with >50% profit margin

Competition

  • productCount: Total number of products
  • brandCount: Number of brands
  • top5BrandsClickShare: Market share of top 5 brands (0-1, lower means less concentration)
  • top5ProductsClickShare: Market share of top 5 products (0-1)

Sales & Traffic

  • unitsSoldWeekly / unitsSoldQuarterly: Sales volume
  • searchVolumeWeekly / searchVolumeQuarterly: Search volume
  • searchVolumeGrowthWeekly / searchVolumeGrowthQuarterly: Growth rate (0-1)
  • clickCountWeekly / clickCountQuarterly: Click volume

Conversion

  • searchConversionRateWeekly / searchConversionRateQuarterly: Search to purchase rate (0-1)
  • clickToSaleConversionWeekly: Click to purchase rate (0-1)

Product Lifecycle

  • launchRateSemiannual: Product launch success rate over 180 days (0-1)
  • newProductsLaunchedSemiannual: Number of new products launched
  • successfulLaunchedSemiannual: Number of successful launches
  • returnRateAnnual: Annual return rate (0-1, lower is better)

Advertising

  • acos: Advertising Cost of Sales (0-1, lower is better)
  • cpc: CPC data with low, medium, high values

Other

  • avgBrandAgeNow / avgBrandAgeQuarterly: Brand age metrics
  • breakEvenRatio: Break-even ratio
  • referenceAsinImageUrl: Representative product image URL
  • categorieList: Product categories

Percentage Fields

Many fields use decimal values (0-1) representing percentages:

  • 0.3 = 30%
  • 0.05 = 5%
  • 1.0 = 100%

When presenting to users, convert to percentages for clarity.

Best Practices

Progressive Disclosure

  1. Initial Query: Start with basic parameters (keyword, country)
  2. Analyze Results: Review demand, competition, pricing
  3. Refine Search: Apply specific filters based on insights
  4. Deep Dive: Request detailed metrics for promising niches

Parameter Optimization

  • Use defaults for exploratory searches
  • Apply 2-3 key filters for targeted searches
  • Avoid over-constraining (may return no results)
  • Iterate based on result patterns

Async Execution

  • Queries run in background by default (1-5 minute processing)
  • Users can continue conversation during execution
  • Results delivered via callback when ready
  • HTML reports provided when available

Data Interpretation

  • High demand (>70) + Low brand concentration (<0.3): Strong opportunity
  • High return rate (>0.15): Quality concerns, investigate further
  • Low ACOS (<0.2) + High conversion: Profitable niche
  • High search growth + Low product count: Emerging opportunity
  • High TOP5 share (>0.5): Dominated market, difficult entry

Error Handling

Common Issues

Missing API Key

Error: LINKFOXAGENT_API_KEY environment variable not found
Solution: Configure API key before using skill

Invalid Country Code

Error: Country code must be US, JP, or DE
Solution: Use supported country codes only

No Results

Warning: No niches match your criteria
Solution: Relax filters or try different keywords

Rate Limiting

Error: API rate limit exceeded
Solution: Wait and retry, or adjust query frequency

Advanced Features

Pagination

  • Default: 50 results per page
  • Range: 10-100 results
  • Use page parameter for additional results

Custom Sorting

  • Primary sort: sortField parameter
  • Direction: sortType (desc/asc)
  • Multi-criteria: Request sorted then filtered results

Comparative Analysis

  • Query multiple markets (US vs JP vs DE)
  • Compare time periods (weekly vs quarterly trends)
  • Benchmark against category averages

Export Options

  • JSON data for programmatic analysis
  • Structured tables for visualization
  • Image URLs for product reference

Integration with Other Tools

Python Sandbox (@Python沙箱)

After receiving JSON results:

  • Calculate custom metrics
  • Generate Markdown tables
  • Export to CSV/Excel
  • Analyze images from referenceAsinImageUrl
  • Create statistical summaries

Example workflow:

  1. Query niches with jiimore
  2. Pass JSON to Python Sandbox
  3. Filter/sort/calculate in Python
  4. Export formatted results

Web Search (@网页检索)

Complement jiimore data with:

  • Competitor research
  • Market trend articles
  • Product reviews
  • Supplier information

AI Image Generation (AI绘图)

Create product mockups:

  1. Get referenceAsinImageUrl from niche data
  2. Use as reference image (up to 3 images)
  3. Generate product variations with AI

Technical Details

API Endpoint

POST https://test-tool-gateway.linkfox.com/jiimore/getNicheInfoByKeyword

Headers

{
  "Authorization": "{LINKFOXAGENT_API_KEY}",
  "Content-Type": "application/json"
}

Request Schema

See references/Jiimore.md for complete parameter documentation.

Response Schema

{
  "total": number,
  "data": array,
  "columns": array,
  "costToken": number,
  "type": "table",
  "title": string
}

Limitations

  • Supported markets: US, JP, DE only
  • Keyword max length: 1000 characters
  • Results per page: 10-100
  • Background processing: 1-5 minutes typical
  • Rate limits apply per API key

Related Skills

  • linkfoxagent: Parent skill for LinkFoxAgent tools
  • tavily: Web search for market research
  • coding-agent: Automated data analysis workflows

References

For detailed API documentation:

  • references/API-Overview.md: Setup and authentication
  • references/Jiimore.md: Complete parameter reference

Note: This tool is optimized for cross-border e-commerce sellers and product researchers. Data is sourced from Amazon marketplace analytics and updated regularly. Always validate findings with current marketplace conditions.

平台分布

OpenClaw

89.6%
按下载量换算833

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

通过

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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