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Install in OpenClaw
/install smart-product-selector
Description
数据驱动的选品决策,让爆款可预测。分析趋势、评估竞争、测算利润、判断季节性,生成专业选品报告,适合亚马逊卖家、外贸选品和新品开发团队。
README (SKILL.md)
智能选品Agent
记忆点
数据驱动的选品决策,让爆款可预测
四维选品模型
| 维度 | 权重 | 评估要素 |
|---|---|---|
| 需求维度 | 30% | 搜索量/月销量/增长趋势 |
| 竞争维度 | 25% | 卖家数量/评论数/垄断度 |
| 利润维度 | 30% | 毛利率/ROI/定价空间 |
| 季节维度 | 15% | 稳定性/旺季机会 |
选品决策
| 综合得分 | 决策建议 | 风险等级 |
|---|---|---|
| 8-10分 | 强烈推荐 | 低风险 |
| 6-8分 | 推荐 | 中低风险 |
| 4-6分 | 谨慎考虑 | 中高风险 |
| \x3C4分 | 不建议 | 高风险 |
核心功能
1. 市场调研
- 关键词搜索量分析
- 竞品销量估算
- 价格区间分布
- 评论数据分析
2. 竞争分析
- 头部卖家市场份额
- 新品进入机会
- 差异化空间评估
3. 利润测算
- 产品成本结构分析
- FBA费用计算
- 定价策略建议
- ROI测算
4. 季节性判断
- 全年需求波动
- 旺季时间窗口
- 节日营销机会
选品报告模板
# 选品分析报告
## 产品基本信息
- 产品名称:
- 类目:
- 目标市场:
## 市场分析
- 月搜索量:
- 月销量估算:
- 价格区间:
## 竞争分析
- 头部卖家数量:
- 平均评论数:
- 垄断程度:
## 利润测算
- 产品成本:
- FBA费用:
- 定价建议:
- 利润率:
## 季节性评估
- 需求稳定性:
- 旺季时间:
- 风险提示:
## 综合评分
- 总分:X/10
- 建议:XX
## 风险提示
- 资金需求:
- 备货周期:
- 主要风险:
使用场景
- 亚马逊新卖家:建立选品方法论
- 老卖家优化:评估现有产品线
- 外贸选品:海外市场机会识别
- 新品开发:降低试错成本
关键指标监控
- 搜索量趋势(>1000/月为佳)
- 竞争度(卖家数\x3C500为佳)
- 利润率(>25%为佳)
- 评论数差距(新进入机会)
Usage Guidance
This skill appears safe from the provided artifacts. Treat its market and profit outputs as advisory business analysis, and verify any external market data sources manually before making purchasing or inventory decisions.
Capability Analysis
Type: OpenClaw Skill
Name: smart-product-selector
Version: 1.1.0
The skill bundle is a collection of Markdown templates and frameworks designed to guide an AI agent in performing e-commerce market research and product selection. It contains no executable code, scripts, or instructions that attempt to access sensitive data or perform unauthorized actions. All files (SKILL.md, clawhub.yaml, and references/trend-analysis-framework.md) are strictly aligned with the stated purpose of providing a 'Smart Product Selector' tool.
Capability Assessment
Purpose & Capability
The artifacts consistently describe a product-selection and market-analysis framework for Amazon/export/new product teams.
Instruction Scope
Instructions are limited to analysis methods, scoring criteria, report templates, and checklists; they do not override user intent or require unsafe actions.
Install Mechanism
No install specification, binaries, packages, scripts, or code files are present.
Credentials
No filesystem, network, credential, shell, browser, or account access is requested by the provided artifacts.
Persistence & Privilege
No persistence, background execution, credential storage, privileged access, or autonomous mutation authority is described.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install smart-product-selector - After installation, invoke the skill by name or use
/smart-product-selector - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.5
Brand update
v1.0.1
Brand update
v1.1.0
Initial release
v1.0.0
Initial release: Data-driven product selection agent
Metadata
Frequently Asked Questions
What is Smart Product Selector?
数据驱动的选品决策,让爆款可预测。分析趋势、评估竞争、测算利润、判断季节性,生成专业选品报告,适合亚马逊卖家、外贸选品和新品开发团队。 It is an AI Agent Skill for Claude Code / OpenClaw, with 59 downloads so far.
How do I install Smart Product Selector?
Run "/install smart-product-selector" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Smart Product Selector free?
Yes, Smart Product Selector is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Smart Product Selector support?
Smart Product Selector is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Smart Product Selector?
It is built and maintained by WangM-A3 (@wangm-a3); the current version is v1.1.0.
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