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The CSV Data Analyzer skill equips Claude with a robust workflow for performing deep-dive exploratory data analysis (EDA) on tabular data. By leveraging Python's pandas and numpy libraries, it enables the automated generation of statistical summaries, correlation matrices, and data quality reports. This skill is particularly useful for developers and data scientists who need to quickly audit datasets, find outliers, or visualize trends directly within their terminal environment without manually writing boilerplate analysis code.
