This is a batteries-included CSV analysis tool that runs a Python script to generate statistical summaries and visualizations, then gives Claude a detailed interpretation guide. You get data quality scores, correlation matrices, distribution plots, outlier detection, and a decision tree for picking the right chart type. The source includes specific thresholds for interpreting correlations, skewness values, and quality grades, plus templated insight generation so Claude can explain what the numbers actually mean. Useful when you want quick exploratory data analysis without writing pandas code yourself, though you'll need Python 3 and the usual data science libraries installed. The chart selection logic is surprisingly thoughtful.
npx skills add https://github.com/casper-studios/casper-marketplace --skill csv-analyzer