Analyzes CSV files, generates summary statistics, and plots quick visualizations using Python and pandas, for users working with tabular data in Claude Code.
Claude Code
$ npx -y skills add coffeefuelbump/csv-data-summarizer-claude-skill --agent claude-code
Codex
$ npx skills add coffeefuelbump/csv-data-summarizer-claude-skill -a codex
Cursor
$ npx skills add coffeefuelbump/csv-data-summarizer-claude-skill -a cursor
Gemini CLI
$ npx skills add coffeefuelbump/csv-data-summarizer-claude-skill -a gemini-cli
GitHub Copilot
$ npx skills add coffeefuelbump/csv-data-summarizer-claude-skill -a github-copilot
OpenCode
$ npx skills add coffeefuelbump/csv-data-summarizer-claude-skill -a opencode
Windsurf
$ npx skills add coffeefuelbump/csv-data-summarizer-claude-skill -a windsurf
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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!
1️⃣ Download the Skill
2️⃣ Try the Demo Data
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
No prompting needed. No options to choose. Just instant, comprehensive insights!
csv-data-summarizer.zipgit clone git@github.com:coffeefuelbump/csv-data-summarizer-claude-skill.git
cd csv-data-summarizer-claude-skill
pip install -r requirements.txt
The included demo CSV contains 15 months of P&L data with:
Dependencies:
Visualizations Generated:
============================================================
📊 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
Contributions are welcome! Feel free to:
MIT License - feel free to use this skill for personal or commercial projects!
Built for the Claude Skills platform by Anthropic.
Made with ❤️ for the AI community
⭐ Star this repo if you find it useful!
Stars on GitHub
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