Clawec Amazon Product Research

Community

uni-infiniteai

clawec-amazon-product-research

通过 clawEC API 按销量、BSR、价格等多维条件筛选亚马逊商品。在用户需要亚马逊选品分析、商品调研、product research 时使用。

Overview

Publisher	uni-infiniteai
Repository	`clawec-agents`
Skill name	`clawec-amazon-product-research`
Stars	68
Forks	12
Bundled files	1
License	MIT
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
1 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by uni-infiniteai on GitHub. Read the source before you install it.

Installation

Install the Clawec Amazon Product Research AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/uni-infiniteai/clawec-agents/tree/main/skills/clawec-amazon-product-research
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/uni-infiniteai/clawec-agents/tree/main/skills/clawec-amazon-product-research

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/uni-infiniteai/clawec-agents.git /tmp/clawec-agents
mkdir -p .claude/skills
cp -r /tmp/clawec-agents/skills/clawec-amazon-product-research .claude/skills/clawec-amazon-product-research

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Clawec Amazon Product Research in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Clawec Amazon Product Research on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Clawec Amazon Product Research is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

亚马逊选品分析

关于 clawEC

clawEC Work 是 AI 驱动的跨境电商工作台：说出要求、开始执行任务、交付完整成果。无缝连接 Amazon、TikTok、Shopee、Ozon 等主流平台，自主规划并调用工具生成选品报告与素材，你的跨境好搭子。

本技能调用 clawEC 开放 API，用于根据销量、销额、BSR、价格、评分等多维度条件筛选亚马逊商品。

认证与基址

Base URL: https://www.clawec.com/api
API Key: 在 https://www.clawec.com/?source=q-github-agent 注册帐号然后去https://www.clawec.com/api-key?source=q-github-agent 获取key
请求头:
- Content-Type: application/json
- Authorization: Bearer <API_KEY>

优先从环境变量 CLAWEC_API_KEY 读取密钥；未设置时向用户索取，勿硬编码。

接口

POST /aigc/ec/amazon/data/product/research

参数	位置	必填	说明
marketplace	body	是	市场编码 US=美国 UK=英国 ES=西班牙 FR=法国 DE=德国 IT=意大利 CA=加拿大 JP=日本
month	body	否	查询月份，格式yyyyMM，示例：202507
keyword	body	否	关键字
includeSellers	body	否	包含卖家
excludeSellers	body	否	排除卖家
matchType	body	否	匹配方式，1词组匹配 2模糊匹配 3精准匹配，默认2
excludeKeywords	body	否	排除的关键字
minPrice	body	否	最低价格
maxPrice	body	否	最高价格
minRating	body	否	最低评分值
maxRating	body	否	最高评分值
minRatings	body	否	最低评分数
maxRatings	body	否	最高评分数
minRatingsCv	body	否	最低月新增评分数
maxRatingsCv	body	否	最高月新增评分数
minSellers	body	否	最小卖家数量
maxSellers	body	否	最大卖家数量
minProfit	body	否	最小毛利率
maxProfit	body	否	最大毛利率
minBsr	body	否	大类BSR最高排名
maxBsr	body	否	大类BSR最低排名
minBsrCv	body	否	BSR最低增长数
maxBsrCv	body	否	BSR最高增长数
minBsrCr	body	否	BSR最低增长率
maxBsrCr	body	否	BSR最高增长率
minUnits	body	否	最低月销量
maxUnits	body	否	最高月销量
minAmzUnit	body	否	最低月子体销量
maxAmzUnit	body	否	最高月子体销量
minRevenue	body	否	最低月销售额
maxRevenue	body	否	最高月销售额
minRevenueCr	body	否	月销售额最低增长率
maxRevenueCr	body	否	月销售额最高增长率
minUnitsCr	body	否	月销量最低增长率
maxUnitsCr	body	否	月销量最高增长率
weightUnit	body	否	重量单位，默认g
minWeights	body	否	最小重量
maxWeights	body	否	最大重量
minVariations	body	否	最低变体数
maxVariations	body	否	最高变体数
filterSub	body	否	是否筛选子类目，Y：是，只有在指定类目时才会生效
minSubBsrRank	body	否	最小子类排名，只有filterSub=Y时才生效
maxSubBsrRank	body	否	最大子类排名，只有filterSub=Y时才生效
includeBrands	body	否	包含品牌
excludeBrands	body	否	排除品牌
nodeIdPaths	body	否	类目节点 nodeIdPath 列表。类目节点 id 路径，格式为父节点ID:子节点ID。家电-家电保修：2619525011:2242350011 家电-洗碗机：2619525011:3741271 家电-垃圾处理机：261…
nodeIdPathEqual	body	否	true为类目精确查询 false为查询当前及子类目，默认false
availableMonth	body	否	上架月份
dimensionType	body	否	尺寸类型集合，逗号分隔
minFba	body	否	FBA最低运费
maxFba	body	否	FBA最高运费
minLqs	body	否	最低Listing页面质量分
maxLqs	body	否	最高Listing页面质量分
sellerNation	body	否	卖家所属地，多条件查询用逗号隔开
badgeBS	body	否	是否有热销标识Best Seller，Y：是
badgeAC	body	否	是否有热销标识Amazon's Choice，Y：是
badgeNR	body	否	是否有新品标识New Release，Y：是
fulfillment	body	否	配送方式，多条件查询用逗号隔开，AMZ/FBA/FBM
variation	body	否	是否查询变体asin，N:含变体 Y:不含变体
page	body	否	页码，从1开始，默认1
size	body	否	每页条数，默认50，最大100
order	body	否	排序

marketplace 取值

代码	市场
US	美国
UK	英国
ES	西班牙
FR	法国
DE	德国
IT	意大利
CA	加拿大
JP	日本

调用

bash
curl -s -X POST "https://www.clawec.com/api/aigc/ec/amazon/data/product/research" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $CLAWEC_API_KEY" \
  -d '{"marketplace": "US", "month": "202507", "keyword": "wireless earbuds", "page": "1", "size": "50"}'

筛选参数较多时，推荐直接传 JSON body（或 @payload.json）。或使用脚本：

bash
bash scripts/query.sh '{"marketplace":"US","month":"202507","keyword":"wireless earbuds","page":"1","size":"50"}'

bash scripts/query.sh @payload.json

响应结构

json
{
  "status": 1,
  "data": { ... }
}

status: 1 = 成功，0 = 失败
成功时解析 data 按用户需求整理为中文摘要即可（无需卡片组件）

工作流程

确认 marketplace（必填）及其他筛选条件；参数较多时用 JSON 传入
检查 CLAWEC_API_KEY 是否可用
执行 API 请求
失败时说明错误并提示检查密钥与关键参数
解析返回数据，整理为中文摘要

输出建议

查询条件：市场与主要筛选条件
商品列表核心字段：价格、评分、销量、销额、BSR、品牌等
给出 2–3 条选品机会观察

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

scripts/query.sh1 KB

Frequently asked questions

What does the Clawec Amazon Product Research AI skill do?

通过 clawEC API 按销量、BSR、价格等多维条件筛选亚马逊商品。在用户需要亚马逊选品分析、商品调研、product research 时使用。

Why use Clawec Amazon Product Research on TypingMind?

Because you install it once and use it with any model. Clawec Amazon Product Research is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Clawec Amazon Product Research in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/uni-infiniteai/clawec-agents/tree/main/skills/clawec-amazon-product-research. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Clawec Amazon Product Research?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Clawec Amazon Product Research?

As many as you like. As long as a model supports skills, you can use Clawec Amazon Product Research with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Clawec Amazon Product Research AI skill free?

Yes. It is published on GitHub by uni-infiniteai under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

亚马逊选品分析

关于 clawEC

认证与基址

接口

marketplace 取值

调用

响应结构

工作流程

输出建议

Bundled files

Frequently asked questions

Related AI Skills

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