Agent skill · data analytics · aiskillstore
polars
Fast DataFrame library (Apache Arrow). Select, filter, group_by, joins, lazy evaluation, CSV/Parquet I/O, expression API, for high-performance data analysis workflows.
Why this skill is useful
Provides domain-specific knowledge on using Polars for high-performance data analysis workflows that the AI wouldn't reliably generate on its own.
What it needs
Requires polars installed locally. About 4k tokens when loaded. Last updated 2026-08-07. 405 stars on the source repository.
What this skill does
Polars Overview Polars is a lightning-fast DataFrame library for Python and Rust built on Apache Arrow. Work with Polars' expression-based API, lazy evaluation framework, and high-performance data manipulation capabilities for efficient data processing, pandas migration, and data pipeline optimization. Quick Start Installation and Basic Usage Install Polars: Basic DataFrame creation and operations: Core Concepts Expressions Expressions are the fundamental building blocks of Polars operations. They describe transformations on data and can be composed, reused, and optimized. Key principles: Use pl.col("columnname") to reference columns Chain methods to build complex transformations Expressions are lazy and only execute within contexts (select, withcolumns, filter, groupby) Example: Lazy vs Eager Evaluation Eager (DataFrame): Operations execute immediately Lazy (LazyFrame): Operations build a query plan, optimized before execution When to use lazy: Working with large datasets Complex query pipelines When only some columns/rows are needed Performance is critical Benefits of lazy evaluation: Automatic query optimization Predicate pushdown Projection pushdown Parallel execution For detailed concepts, load references/coreconcepts.md. Common Operations Select Select and manipulate columns: Filter Filter rows by conditions: With Columns Add or modify columns while preserving existing ones: Group By and Aggregations Group data and compute aggregations: For detailed operation patterns, load references/operations.md. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills aiskillstore/polars