Clawec Amazon Traffic Keyword Stat

Community

uni-infiniteai

clawec-amazon-traffic-keyword-stat

通过 clawEC API 查询亚马逊 ASIN 流量词数量统计（全部流量词、自然排名词、广告词及类型分布）。在用户需要亚马逊流量词统计、自然/广告词占比、竞品关键词覆盖分析时使用。

Overview

Publisher	uni-infiniteai
Repository	`clawec-agents`
Skill name	`clawec-amazon-traffic-keyword-stat`
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 Traffic Keyword Stat 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-traffic-keyword-stat
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-traffic-keyword-stat

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-traffic-keyword-stat .claude/skills/clawec-amazon-traffic-keyword-stat

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

Use it in TypingMind

Enable Clawec Amazon Traffic Keyword Stat 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 Traffic Keyword Stat 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 Traffic Keyword Stat 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.

亚马逊流量词统计

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，用于查询指定 ASIN 在特定市场下的流量关键词数量统计（全部 / 自然 / 广告及类型分布）。

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/traffic/keyword_stat

参数	位置	必填	说明
marketplace	body	是	市场编码；默认 `US`
asin	body	是	商品 ASIN
month	body	否	查询月份，格式 `yyyyMM`；不传则返回最新可用数据

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/traffic/keyword_stat" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $CLAWEC_API_KEY" \
  -d '{"marketplace":"US","asin":"B07Z82895W"}'

指定月份：

bash
curl -s -X POST "https://www.clawec.com/api/aigc/ec/amazon/data/traffic/keyword_stat" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $CLAWEC_API_KEY" \
  -d '{"marketplace":"UK","asin":"B07Z82895W","month":"202405"}'

或使用脚本：

bash
bash scripts/query.sh US B07Z82895W

bash scripts/query.sh UK B07Z82895W 202405

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、asin；如用户指定月份则校验 yyyyMM
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、ASIN 与站点
解析返回数据，整理为中文流量词统计摘要

输出建议

查询条件：市场、ASIN、月份
对比全部流量词 / 自然排名词 / 广告词数量及占比
给出 1–2 条关键词覆盖或 PPC 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 Traffic Keyword Stat AI skill do?

Why use Clawec Amazon Traffic Keyword Stat on TypingMind?

Because you install it once and use it with any model. Clawec Amazon Traffic Keyword Stat 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 Traffic Keyword Stat in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/uni-infiniteai/clawec-agents/tree/main/skills/clawec-amazon-traffic-keyword-stat. 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 Traffic Keyword Stat?

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 Traffic Keyword Stat?

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

Is the Clawec Amazon Traffic Keyword Stat 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

亚马逊流量词统计

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

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