Analyzes CSV files, generates summary stats, and plots quick visualizations using Python and pandas.
This Skill analyzes CSV files and provides comprehensive summaries with statistical insights and visualizations.
Claude should use this Skill whenever the user:
IMMEDIATELY AND AUTOMATICALLY:
THE USER WANTS A FULL ANALYSIS RIGHT AWAY - JUST DO IT.
The skill intelligently adapts to different data types and industries by inspecting the data first, then determining what analyses are most relevant.
Load and inspect the CSV file into pandas DataFrame
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:
Generate comprehensive output automatically including:
Present everything in one complete analysis - no follow-up questions
Example adaptations:
✅ CORRECT APPROACH - SAY THIS:
✅ DO:
❌ NEVER SAY THESE PHRASES:
❌ FORBIDDEN BEHAVIORS:
The Skill provides a Python function summarize_csv(file_path) that:
"Here's
sales_data.csv. Can you summarize this file?"
"Analyze this customer data CSV and show me trends."
"What insights can you find in
orders.csv?"
Dataset Overview
Summary Statistics
Insights
analyze.py - Core analysis logicrequirements.txt - Python dependenciesresources/sample.csv - Example dataset for testingresources/README.md - Additional documentation