ecommerce-data-analyzer
电商数据分析工具，支持CSV销售数据上传、生成销售趋势图/产品排名/渠道收入占比/利润率分析/库存预警，一键生成PDF报告，集成SkillPay支付接口。适用于电商卖家分析销售业绩、生成业务报告。
Best use case
ecommerce-data-analyzer is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
电商数据分析工具，支持CSV销售数据上传、生成销售趋势图/产品排名/渠道收入占比/利润率分析/库存预警，一键生成PDF报告，集成SkillPay支付接口。适用于电商卖家分析销售业绩、生成业务报告。
Teams using ecommerce-data-analyzer should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/ecommerce-data-analyzer/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How ecommerce-data-analyzer Compares
| Feature / Agent | ecommerce-data-analyzer | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
电商数据分析工具，支持CSV销售数据上传、生成销售趋势图/产品排名/渠道收入占比/利润率分析/库存预警，一键生成PDF报告，集成SkillPay支付接口。适用于电商卖家分析销售业绩、生成业务报告。
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# 电商数据分析工具 ## 功能概述 1. 上传CSV格式的销售数据文件 2. 自动生成以下分析图表和报表： - 日销/周销/月销趋势折线图 - 各产品销售数量/金额排名 - 各销售渠道（Amazon/Shopify/独立站）收入占比饼图 - 利润率分析（需手动填入成本数据） - 库存预警：基于销售速度预测断货时间 3. 一键导出完整分析报告为PDF文件 4. 全中文界面支持 ## 支付说明 每次调用本工具将收取0.001 USDT，支付接口由SkillPay.me提供，API Key：`sk_d11f398e77b6e892eb7a7d421fe912dde27322cf1792366b776b72bd459d3c2e` ## 使用流程 1. 上传销售数据CSV文件，CSV需包含以下字段： - 订单日期 - 产品名称 - 销售数量 - 销售金额 - 销售渠道 - 库存数量 2. 填写成本数据（用于利润率分析） 3. 系统自动生成分析图表和报告 4. 下载PDF报告 ## 依赖要求 - Python 3.8+ - pandas: 数据处理 - matplotlib: 图表生成 - reportlab: PDF生成 - flask: 网页界面（可选） ## 部署说明 1. 克隆或下载本技能目录 2. 安装依赖：`pip install pandas matplotlib reportlab flask` 3. 运行启动脚本：`python scripts/app.py` 4. 访问本地地址即可使用工具
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