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---
# 📊 CSV Data Summarizer - Claude Skill
A powerful Claude Skill that automatically analyzes CSV files and generates comprehensive insights with visualizations. Upload any CSV and get instant, intelligent analysis without being asked what you want!
[](https://github.com/coffeefuelbump/csv-data-summarizer-claude-skill)
[](https://www.python.org/)
[](LICENSE)
## 🚀 Features
- **🤖 Intelligent & Adaptive** - Automatically detects data type (sales, customer, financial, survey, etc.) and applies relevant analysis
- **📈 Comprehensive Analysis** - Generates statistics, correlations, distributions, and trends
- **🎨 Auto Visualizations** - Creates multiple charts based on what's in your data:
- Time-series plots for date-based data
- Correlation heatmaps for numeric relationships
- Distribution histograms
- Categorical breakdowns
- **⚡ Proactive** - No questions asked! Just upload CSV and get complete analysis immediately
- **🔍 Data Quality Checks** - Automatically detects and reports missing values
- **📊 Multi-Industry Support** - Adapts to e-commerce, healthcare, finance, operations, surveys, and more
## 📥 Quick Download
### Get Started in 2 Steps
**1️⃣ Download the Skill**
[](https://github.com/coffeefuelbump/csv-data-summarizer-claude-skill/raw/main/csv-data-summarizer.zip)
**2️⃣ Try the Demo Data**
[](https://github.com/coffeefuelbump/csv-data-summarizer-claude-skill/raw/main/examples/showcase_financial_pl_data.csv)
---
## 📦 What's Included
```
csv-data-summarizer-claude-skill/
├── SKILL.md # Claude Skill definition
├── analyze.py # Comprehensive analysis engine
├── requirements.txt # Python dependencies
├── examples/
│ └── showcase_financial_pl_data.csv # Demo P&L financial dataset (15 months, 25 metrics)
└── resources/
├── sample.csv # Example dataset
└── README.md # Usage documentation
```
## 🎯 How It Works
1. **Upload** any CSV file to Claude.ai
2. **Skill activates** automatically when CSV is detected
3. **Analysis runs** immediately - inspects data structure and adapts
4. **Results delivered** - Complete analysis with multiple visualizations
No prompting needed. No options to choose. Just instant, comprehensive insights!
## 📥 Installation
### For Claude.ai Users
1. Download the latest release: [`csv-data-summarizer.zip`](https://github.com/coffeefuelbump/csv-data-summarizer-claude-skill/releases)
2. Go to [Claude.ai](https://claude.ai) → Settings → Capabilities → Skills
3. Upload the zip file
4. Enable the skill
5. Done! Upload any CSV and watch it work ✨
### For Developers
```bash
git clone git@github.com:coffeefuelbump/csv-data-summarizer-claude-skill.git
cd csv-data-summarizer-claude-skill
pip install -r requirements.txt
```
## 📊 Sample Dataset Highlights
The included demo CSV contains **15 months of P&L data** with:
- 3 product lines (SaaS, Enterprise, Services)
- 25 financial metrics including revenue, expenses, margins, CAC, LTV
- Quarterly trends showing business growth
- Perfect for showcasing time-series analysis, correlations, and financial insights
## 🎨 Example Use Cases
- **📊 Sales Data** → Revenue trends, product performance, regional analysis
- **👥 Customer Data** → Demographics, segmentation, geographic patterns
- **💰 Financial Data** → Transaction analysis, trend detection, correlations
- **⚙️ Operational Data** → Performance metrics, time-series analysis
- **📋 Survey Data** → Response distributions, cross-tabulations
## 🛠️ Technical Details
**Dependencies:**
- Python 3.8+
- pandas 2.0+
- matplotlib 3.7+
- seaborn 0.12+
**Visualizations Generated:**
- Time-series trend plots
- Correlation heatmaps
- Distribution histograms
- Categorical bar charts
## 📝 Example Output
```
============================================================
📊 DATA OVERVIEW
============================================================
Rows: 100 | Columns: 15
📋 DATA TYPES:
• order_date: object
• total_revenue: float64
• customer_segment: object
...
🔍 DATA QUALITY:
✓ No missing values - dataset is complete!
📈 NUMERICAL ANALYSIS:
[Summary statistics for all numeric columns]
🔗 CORRELATIONS:
[Correlation matrix showing relationships]
📅 TIME SERIES ANALYSIS:
Date range: 2024-01-05 to 2024-04-11
Span: 97 days
📊 VISUALIZATIONS CREATED:
✓ correlation_heatmap.png
✓ time_series_analysis.png
✓ distributions.png
✓ categorical_distributions.png
```
## 🌟 Connect & Learn More
[-blue?style=for-the-badge&logo=data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIyNCIgaGVpZ2h0PSIyNCIgdmlld0JveD0iMCAwIDI0IDI0IiBmaWxsPSJ3aGl0ZSI+PHBhdGggZD0iTTEyIDJDNi40OCAyIDIgNi40OCAyIDEyczQuNDggMTAgMTAgMTAgMTAtNC40OCAxMC0xMFMxNy41MiAyIDEyIDJ6bTAgM2MxLjY2IDAgMyAxLjM0IDMgM3MtMS4zNCAzLTMgMy0zLTEuMzQtMy0zIDEuMzQtMyAzLTN6bTAgMTQuMmMtMi41IDAtNC43MS0xLjI4LTYtMy4yMi4wMy0xLjk5IDQtMy4wOCA2LTMuMDggMS45OSAwIDUuOTcgMS4wOSA2IDMuMDgtMS4yOSAxLjk0LTMuNSAzLjIyLTYgMy4yMnoiLz48L3N2Zz4=)](https://www.skool.com/ai-for-your-business/about)
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[](https://twitter.com/corbin_braun)
## 🤝 Contributing
Contributions are welcome! Feel free to:
- Report bugs
- Suggest new features
- Submit pull requests
- Share your use cases
## 📄 License
MIT License - feel free to use this skill for personal or commercial projects!
## 🙏 Acknowledgments
Built for the Claude Skills platform by [Anthropic](https://www.anthropic.com/news/skills).
---
**Made with ❤️ for the AI community**
⭐ Star this repo if you find it useful!