| name | csv-data-summarizer |
| description | Analyzes CSV files, generates summary stats, and produces quick visualizations. Use this skill whenever the user uploads or references a CSV file, asks to summarize, analyze, or visualize tabular data, requests insights from CSV data, or wants to understand data structure and quality. |
CSV Data Summarizer
This Skill analyzes CSV files and provides comprehensive summaries with statistical insights and visualizations.
When to Use This Skill
Claude should use this Skill whenever the user:
- Uploads or references a CSV file
- Asks to summarize, analyze, or visualize tabular data
- Requests insights from CSV data
- Wants to understand data structure and quality
How It Works
DO NOT ASK THE USER WHAT THEY WANT TO DO WITH THE DATA.
IMMEDIATELY AND AUTOMATICALLY:
- Run the comprehensive analysis
- Generate ALL relevant visualizations
- Present complete results
Automatic Analysis Steps:
- Load and inspect the CSV file
- Identify data structure - column types, date columns, numeric columns, categories
- Determine relevant analyses based on what's actually in the data
- Only create visualizations that make sense for the specific dataset:
- Time-series plots ONLY if date/timestamp columns exist
- Correlation heatmaps ONLY if multiple numeric columns exist
- Category distributions ONLY if categorical columns exist
- Generate comprehensive output automatically including:
- Data overview (rows, columns, types)
- Key statistics and metrics relevant to the data type
- Missing data analysis
- Multiple relevant visualizations (only those that apply)
- Actionable insights based on patterns found
Behavior Guidelines
- Immediately run the analysis script
- Generate ALL relevant charts automatically
- Provide complete insights without being asked
- Be thorough and complete in first response
- Act decisively without asking permission