polars

SUMMARY

What it does

This Agent Skill provides procedural knowledge for using the Polars DataFrame library in Python. It covers expression-based data manipulation, lazy vs eager evaluation, common operations (select, filter, with_columns, group_by), aggregations and window functions, data I/O for multiple formats, transformations (joins, concatenation, pivot/unpivot), pandas migration guidance, and performance best practices. The skill includes reference documentation files for core concepts, operations, pandas migration, I/O, transformations, and best practices. It is designed for ETL, analytics, and data pipeline optimization tasks. The skill is distributed under the MIT license and is part of the Scientific Agent Skills collection by K-Dense.