hmo
04db423416
- 70 skills with code and documentation - Add .gitignore (ignore __pycache__, output/, temp/, venv/) - Clean up test intermediates and caches
199 lines
7.3 KiB
Markdown
199 lines
7.3 KiB
Markdown
<div align="center">
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[-4F46E5?style=for-the-badge)](https://www.skool.com/ai-for-your-business)
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[](https://github.com/coffeefuelbump)
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[](https://linktr.ee/corbin_brown)
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[](https://www.youtube.com/channel/UCJFMlSxcvlZg5yZUYJT0Pug/join)
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</div>
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---
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# 📊 CSV Data Summarizer - Claude Skill
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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!
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<div align="center">
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[](https://github.com/coffeefuelbump/csv-data-summarizer-claude-skill)
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[](https://www.python.org/)
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[](LICENSE)
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</div>
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## 🚀 Features
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- **🤖 Intelligent & Adaptive** - Automatically detects data type (sales, customer, financial, survey, etc.) and applies relevant analysis
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- **📈 Comprehensive Analysis** - Generates statistics, correlations, distributions, and trends
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- **🎨 Auto Visualizations** - Creates multiple charts based on what's in your data:
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- Time-series plots for date-based data
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- Correlation heatmaps for numeric relationships
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- Distribution histograms
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- Categorical breakdowns
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- **⚡ Proactive** - No questions asked! Just upload CSV and get complete analysis immediately
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- **🔍 Data Quality Checks** - Automatically detects and reports missing values
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- **📊 Multi-Industry Support** - Adapts to e-commerce, healthcare, finance, operations, surveys, and more
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## 📥 Quick Download
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<div align="center">
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### Get Started in 2 Steps
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**1️⃣ Download the Skill**
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[](https://github.com/coffeefuelbump/csv-data-summarizer-claude-skill/raw/main/csv-data-summarizer.zip)
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**2️⃣ Try the Demo Data**
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[](https://github.com/coffeefuelbump/csv-data-summarizer-claude-skill/raw/main/examples/showcase_financial_pl_data.csv)
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</div>
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---
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## 📦 What's Included
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```
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csv-data-summarizer-claude-skill/
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├── SKILL.md # Claude Skill definition
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├── analyze.py # Comprehensive analysis engine
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├── requirements.txt # Python dependencies
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├── examples/
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│ └── showcase_financial_pl_data.csv # Demo P&L financial dataset (15 months, 25 metrics)
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└── resources/
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├── sample.csv # Example dataset
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└── README.md # Usage documentation
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```
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## 🎯 How It Works
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1. **Upload** any CSV file to Claude.ai
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2. **Skill activates** automatically when CSV is detected
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3. **Analysis runs** immediately - inspects data structure and adapts
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4. **Results delivered** - Complete analysis with multiple visualizations
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No prompting needed. No options to choose. Just instant, comprehensive insights!
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## 📥 Installation
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### For Claude.ai Users
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1. Download the latest release: [`csv-data-summarizer.zip`](https://github.com/coffeefuelbump/csv-data-summarizer-claude-skill/releases)
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2. Go to [Claude.ai](https://claude.ai) → Settings → Capabilities → Skills
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3. Upload the zip file
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4. Enable the skill
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5. Done! Upload any CSV and watch it work ✨
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### For Developers
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```bash
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git clone git@github.com:coffeefuelbump/csv-data-summarizer-claude-skill.git
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cd csv-data-summarizer-claude-skill
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pip install -r requirements.txt
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```
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## 📊 Sample Dataset Highlights
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The included demo CSV contains **15 months of P&L data** with:
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- 3 product lines (SaaS, Enterprise, Services)
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- 25 financial metrics including revenue, expenses, margins, CAC, LTV
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- Quarterly trends showing business growth
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- Perfect for showcasing time-series analysis, correlations, and financial insights
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## 🎨 Example Use Cases
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- **📊 Sales Data** → Revenue trends, product performance, regional analysis
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- **👥 Customer Data** → Demographics, segmentation, geographic patterns
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- **💰 Financial Data** → Transaction analysis, trend detection, correlations
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- **⚙️ Operational Data** → Performance metrics, time-series analysis
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- **📋 Survey Data** → Response distributions, cross-tabulations
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## 🛠️ Technical Details
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**Dependencies:**
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- Python 3.8+
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- pandas 2.0+
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- matplotlib 3.7+
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- seaborn 0.12+
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**Visualizations Generated:**
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- Time-series trend plots
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- Correlation heatmaps
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- Distribution histograms
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- Categorical bar charts
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## 📝 Example Output
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```
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============================================================
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📊 DATA OVERVIEW
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============================================================
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Rows: 100 | Columns: 15
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📋 DATA TYPES:
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• order_date: object
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• total_revenue: float64
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• customer_segment: object
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...
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🔍 DATA QUALITY:
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✓ No missing values - dataset is complete!
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📈 NUMERICAL ANALYSIS:
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[Summary statistics for all numeric columns]
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🔗 CORRELATIONS:
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[Correlation matrix showing relationships]
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📅 TIME SERIES ANALYSIS:
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Date range: 2024-01-05 to 2024-04-11
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Span: 97 days
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📊 VISUALIZATIONS CREATED:
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✓ correlation_heatmap.png
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✓ time_series_analysis.png
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✓ distributions.png
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✓ categorical_distributions.png
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```
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## 🌟 Connect & Learn More
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<div align="center">
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[-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://linktr.ee/corbin_brown)
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[](https://www.youtube.com/channel/UCJFMlSxcvlZg5yZUYJT0Pug/join)
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[](https://twitter.com/corbin_braun)
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</div>
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## 🤝 Contributing
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Contributions are welcome! Feel free to:
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- Report bugs
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- Suggest new features
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- Submit pull requests
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- Share your use cases
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## 📄 License
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MIT License - feel free to use this skill for personal or commercial projects!
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## 🙏 Acknowledgments
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Built for the Claude Skills platform by [Anthropic](https://www.anthropic.com/news/skills).
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---
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<div align="center">
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**Made with ❤️ for the AI community**
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⭐ Star this repo if you find it useful!
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</div>
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