mediar-ai/packages/skills/skills/csv-data-summarizer
packages/skills/skills/csv-data-summarizer/SKILL.md
# CSV Data Summarizer Analyze CSV files and provide comprehensive summaries with statistical insights and visualizations. ## Prerequisites - Python 3.8+ - pandas, matplotlib, seaborn ## Instructions ### Critical Behavior **DO NOT ask what the user wants to do with the data.** **IMMEDIATELY run comprehensive analysis and present results.** ### Automatic Analysis Steps 1. **Load and inspect** CSV into pandas DataFrame 2. **Identify data structure** - column types, dates, numerics, categori
$ install --global
skillsauthnpx skillsauth add mediar-ai/skillhubz packages/skills/skills/csv-data-summarizerInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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SKILL.md
CSV Data Summarizer
Analyze CSV files and provide comprehensive summaries with statistical insights and visualizations.
Prerequisites
- Python 3.8+
- pandas, matplotlib, seaborn
Instructions
Critical Behavior
DO NOT ask what the user wants to do with the data. IMMEDIATELY run comprehensive analysis and present results.
Automatic Analysis Steps
- Load and inspect CSV into pandas DataFrame
- Identify data structure - column types, dates, numerics, categories
- Determine relevant analyses based on data type:
- Sales/E-commerce: Time-series, revenue, product performance
- Customer data: Distributions, segmentation, geographic patterns
- Financial data: Trends, summaries, correlations
- Operational data: Time-series, metrics, distributions
- Survey data: Frequencies, cross-tabulations
- Generic: Adapts based on column types
Analysis Output
For each dataset, automatically generate:
-
Data Overview
- Shape, columns, types
- Missing values summary
- Memory usage
-
Statistical Summary
- Descriptive statistics
- Distribution analysis
- Correlation matrix
-
Visualizations
- Distribution plots
- Time series (if dates present)
- Category breakdowns
- Correlation heatmaps
-
Insights
- Key findings
- Anomalies detected
- Recommendations
Guidelines
- Run full analysis immediately - no questions
- Adapt analysis to detected data type
- Generate ALL relevant visualizations
- Present complete results without waiting for input
- Include actionable insights
Notes
- Intelligently adapts to different industries
- Inspects data first, then determines relevant analyses
- No user input required - just provide the CSV
Source: coffeefuelbump/csv-data-summarizer-claude-skill
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