🔍 What does this skill do?

The Smart E-commerce Analytics Skill transforms your raw e-commerce data into clear insights and actionable recommendations. It identifies where revenue is being lost, which products need attention, and what opportunities exist to increase revenue.

📊
Monthly Review
Analyze your online store's monthly performance to identify areas for improvement.
🔍
Problem Identification
Identify drops in revenue and pinpoint the underlying causes.
💡
Product Optimization
Decide which products to invest in to maximize your return on investment.
📈
Growth Strategies
Develop strategies to increase sales and improve efficiency.

⚙️ How to install

1
Download the ZIP file
Click the download button to get smart-e-commerce-analysis.zip.
2
Unzip it into your "skills" folder
Extract the contents to Claude's skills folder:
~/.claude/skills/analisis-inteligente-de-comercio-electronico/
3
Check that SKILL.md exists
Check that the SKILL.md file exists in the smart-e-commerce-analytics/ directory.
analisis-inteligente-de-comercio-electronico/ ├── SKILL.md └── ...
4
Restart Claude Code or Cowork
Close and reopen the app. Claude will detect the skill automatically.
5
Start using the skill!
Enter your e-commerce data and receive a detailed analysis.

💬 Usage examples

📊 Monthly Analysis
Analyze my online store's performance in March 2025 and suggest improvements.
🔍 Troubleshooting
Identify why sales aren't increasing despite high traffic.
💡 Product optimization
Recommend which products to invest in to improve the return on investment.
📈 Growth Strategies
Suggest strategies to increase sales in the coming quarter.

🛠️ Features

✅
Revenue Analysis Turn raw data into clear insights to maximize revenue.
✅
Identifying Bottlenecks Identify stages of the sales funnel that need optimization.
✅
Portfolio Analysis Identify top-selling products and those that need attention.
✅
Priority Actions It proposes practical steps to improve sales performance.

❓ Frequently asked questions

Use data from your e-commerce business to identify areas for improvement and opportunities for growth.
Data such as revenue, number of orders, unique visitors, and best-selling products.
Yes, as long as you can provide the necessary data for the analysis.
Intelligent E-commerce Analytics

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