csv-data-summarizer-claude-skill
A Claude Skill that automatically analyzes uploaded CSV files — generating summary statistics, detecting missing data, and creating quick visualizations using Python and pandas
Choose how to use this skill
You do not need every option. Choose the path your AI client supports. The stable page stays the same; versioned files are immutable.
1. Native installer
This listing has no registered native installer command. Use the complete package or source fallback below, depending on what your client supports.
Do not guess an installer command or replace an existing version without reviewing the diff.
2. Complete package recommended
Download the ZIP when available. It includes SKILL.md plus the references, security notes and version metadata.
No complete ProSkills package is published for this listing yet.3. Prompt-only
Copy the prompt above when the agent can read the stable page or when you want to adopt the workflow without installing a skill.
Need only the instruction file?
Download SKILL.md only if your client requires a single file. The complete ZIP is safer for a full installation because it preserves the references and release context.
No path installs or executes anything by itself. Your agent still needs access to the project files. Before updating, compare the installed version and review the diff.
// RATINGS
Not yet listed on ClawHub or SkillsMP
// README
📊 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!
🚀 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
📦 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
- Upload any CSV file to Claude.ai
- Skill activates automatically when CSV is detected
- Analysis runs immediately - inspects data structure and adapts
- Results delivered - Complete analysis with multiple visualizations
No prompting needed. No options to choose. Just instant, comprehensive insights!
📥 Installation
For Claude.ai Users
- Download the latest release:
csv-data-summarizer.zip - Go to Claude.ai → Settings → Capabilities → Skills
- Upload the zip file
- Enable the skill
- 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
🤝 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
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.
SKILL.mdupstream ↗
Contents are not inlined in the catalog. Open the upstream file.
README.mdupstream ↗
Contents are not inlined in the catalog. Open the upstream file.
Plain-text copy, no login: /skill-bundles/coffeefuelbump-csv-data-summarizer.md