openclawclaudev2.1.0

csv-data-summarizer-claude-skill

coffeefuelbump@coffeefuelbump⭐ 481 stars· last commit 1yr ago· 1 open issues

A Claude Skill that automatically analyzes uploaded CSV files — generating summary statistics, detecting missing data, and creating quick visualizations using Python and pandas

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8.1/10
Verified
Mar 9, 2026

// RATINGS

⭐GitHub Stars
⭐⭐⭐ 282 on GitHubGitHub ↗

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🟢ProSkills ScoreAI Verified
8.1/10
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Not yet listed on ClawHub or SkillsMP

// README

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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!

Version Python 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
Download Skill

2️⃣ Try the Demo Data
Download Demo 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
  2. Go to 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

git clone [email protected]: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

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🤝 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.


Made with ❤️ for the AI community

⭐ Star this repo if you find it useful!

// HOW IT'S BUILT

TECHNOLOGY STACK

python
pandas
matplotlib

This skill is built with python, pandas, matplotlib..

// FILES

2 files shipped with this skill. Inline text is the catalog copy. The upstream link is the source repository.

Plain-text copy, no login: /skill-bundles/coffeefuelbump-csv-data-summarizer.md

// REPO STATS

481 stars
1 open issues
Last commit: 1yr ago