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clawec-amazon-category-opportunity

by clawEC · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install clawec-amazon-category-opportunity
Description
通过 Clawec API 对亚马逊品类/关键词做机会分析(机会分、搜索排名趋势、30天销量销售额、雷达多维评分)。在用户需要亚马逊品类机会分析、类目选品、关键词机会评估、市场趋势与雷达分解读时使用。
README (SKILL.md)

亚马逊品类机会分析

关于 ClawEC

ClawEC 是一款面向跨境电商场景的 AI 智能体协同平台,以「你的跨境电商 AI 团队」为品牌主张,将选品、调研、运营、上架、营销、客服、采购、合规等环节沉淀为可执行的 SOP(标准作业程序),通过多智能体(「虾员工」)分工协作与 7×24 小时自动化任务,帮助卖家在单人或少人条件下完成跨境业务闭环,降低对专业运营团队与复杂本地部署的依赖。

本技能调用 ClawEC 开放 API「产品搜索并总结 v2」,输出品类/关键词层面的机会评分与趋势摘要。

认证与基址

  • Base URL: https://www.clawec.com/api
  • API Key: 在 https://www.clawec.com/?source=q20005656 注册帐号 然后去https://www.clawec.com/api-key?source=q20005656 获取key
  • 请求头:
    • Content-Type: application/json
    • Authorization: Bearer \x3CAPI_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/product_search_v2

参数 位置 必填 说明
keyword body 品类/关键词(可多个相关词由 API 展开为 keywordList
target_platform body 固定传 amazon
region body 目标市场(亚马逊站点代码,见下表)
table body 是否下发表格数据:0 否,1 是;默认 0

region 取值(Amazon)

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

未指定 region 时默认 US

调用

curl -s -X POST "https://www.clawec.com/api/aigc/ec/product_search_v2" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $CLAWEC_API_KEY" \
  -d '{"keyword":"wireless earbuds","target_platform":"amazon","region":"US","table":0}'

或使用脚本(脚本内已固定 target_platform=amazon):

# 关键词 + 市场(默认 US)
bash scripts/analyze.sh "wireless earbuds" US

# 需要表格数据时
bash scripts/analyze.sh "wireless earbuds" US 1

响应结构

{
  "status": 1,
  "data": {
    "keywordList": [ ... ]
  },
  "pointInfo": { "type": 0, "point": 0 }
}
  • status: 1 = 成功,0 = 失败
  • data.keywordList: 关键词机会分析列表
  • pointInfo: 积分/扣点信息 { type, point }

keywordList 核心字段

字段 说明
keyword / keywordCn 原始关键词 / 中文名
oppScore / oppScoreDesc 市场机会综合分及解读(越高机会越大)
searchRank / searchRankDesc 最新月核心指标(Amazon 为搜索排名)及说明
rankTrends 近 12 个月趋势 { x: 月份, y: 数值 }
soldCnt30d / soldCnt30dGrowthRate 近 30 天销量及环比
soldAmt30d / soldAmt30dGrowthRate 近 30 天销售额及环比
radar 雷达多维分(市场需求、评价、新品、销售、供给等)

完整字段见 references/response-schema.md

工作流程

  1. 确认分析关键词与目标 region(亚马逊市场代码)
  2. 确认是否需要 table=1 下发结构化表格
  3. 检查 CLAWEC_API_KEY 是否可用
  4. 请求体中 target_platform 固定传 amazon
  5. status !== 1 或请求失败时,说明错误并提示检查密钥、关键词与市场代码
  6. 遍历 data.keywordList,按 oppScore 排序并解读趋势与雷达分
  7. 输出中文机会分析报告

输出建议

默认中文报告,包含:

  • 分析关键词、市场(region)、返回关键词数量
  • 机会榜keywordCn、机会分、搜索排名、30 天销量/销售额及环比
  • 趋势:对头部词的 rankTrends 用 1–2 句话概括升降(结合 rankTrendsDesc
  • 雷达:列出 radar.propertyList 各维度得分,指出强项与短板
  • 结论:推荐优先关注的 1–3 个词及理由;若机会分接近,说明需结合供给/新品分综合判断

示例

输入:美国站分析品类关键词「phone case」

输出摘要

关键词 机会分 搜索排名 30天销量 销量环比 销售额环比
phone case 85 ... ... UP 1.2% DOWN -0.5%
... ... ... ... ... ...

雷达(示例):市场需求 78、市场销售 82、市场供给 65 …

(详细解读见各词的 oppScoreDescradar.radarDescription。)

Usage Guidance
Because the artifact files could not be inspected, treat this as an incomplete review and verify SKILL.md, metadata, install steps, and any helper files before installing.
Capability Tags
requires-sensitive-credentials
Capability Assessment
Purpose & Capability
Artifact files were not readable through the available execution tool, so purpose and capabilities could not be verified from SKILL.md or metadata.
Instruction Scope
Instruction scope could not be assessed because the artifact contents were not accessible.
Install Mechanism
Install mechanism could not be assessed because install specs and manifest contents were not accessible.
Credentials
Environment access could not be compared against the stated purpose because artifact contents were unavailable.
Persistence & Privilege
No artifact-backed evidence of persistence or privilege abuse was available to review.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install clawec-amazon-category-opportunity
  3. After installation, invoke the skill by name or use /clawec-amazon-category-opportunity
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release of amazon-category-opportunity skill for analyzing Amazon categories/keywords via Clawec API. - Supports opportunity analysis including score, search rank trends, 30-day sales data, and radar multidimensional scoring. - Allows selection of Amazon marketplaces (region) such as US, UK, JP, etc. - Credentials are sourced from the `CLAWEC_API_KEY` environment variable or requested from the user if absent. - Default output is a concise Chinese-language opportunity analysis report including scoreboards, trend captures, radar breakdowns, and actionable recommendations.
Metadata
Slug clawec-amazon-category-opportunity
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is clawec-amazon-category-opportunity?

通过 Clawec API 对亚马逊品类/关键词做机会分析(机会分、搜索排名趋势、30天销量销售额、雷达多维评分)。在用户需要亚马逊品类机会分析、类目选品、关键词机会评估、市场趋势与雷达分解读时使用。 It is an AI Agent Skill for Claude Code / OpenClaw, with 94 downloads so far.

How do I install clawec-amazon-category-opportunity?

Run "/install clawec-amazon-category-opportunity" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is clawec-amazon-category-opportunity free?

Yes, clawec-amazon-category-opportunity is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does clawec-amazon-category-opportunity support?

clawec-amazon-category-opportunity is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created clawec-amazon-category-opportunity?

It is built and maintained by clawEC (@anyunzhong); the current version is v1.0.0.

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