Individual skill
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.
cli-tool/components/skills/scientific/polars/SKILL.md
Source commit ad81bf053f80b626801decf425f501ba49983d98
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Network or broad shell
- Last checked
- Nov 9, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
Install this skill
Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.
An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- Repository stars (not skill ratings)
- 33,246
- Repository last updated
- Nov 10, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- anthropic Repository topic
- anthropic-claude Repository topic
- claude Repository topic
- claude-code Repository topic
- agent-skills Repository topic
- ai-agents Repository topic
- claude-code-plugins Repository topic
- cli Repository topic
- mcp Repository topic
- registry Repository topic
- data Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
SKILL.mdcore · 9,205 bytesSKILL.mdcore · 9,205 bytesSKILL.mdcore · 9,205 bytesSKILL.mdcore · 9,205 bytesSKILL.mdcore · 9,205 bytesSKILL.mdcore · 9,205 bytesSKILL.mdcore · 9,205 bytesSKILL.mdcore · 9,205 bytesSKILL.mdcore · 9,205 bytesSKILL.mdcore · 9,205 bytesSKILL.mdcore · 9,205 bytesSKILL.mdcore · 9,205 bytesSKILL.mdcore · 9,205 bytesSKILL.mdcore · 9,205 bytesSKILL.mdcore · 9,205 bytesSKILL.mdcore · 9,205 bytesSKILL.mdcore · 9,205 bytesSKILL.mdcore · 9,205 bytesSKILL.mdcore · 9,205 bytesSKILL.mdcore · 9,205 bytesSKILL.mdcore · 9,205 bytesSKILL.mdcore · 9,205 bytesSKILL.mdcore · 9,205 bytesSKILL.mdcore · 9,205 bytesSKILL.mdcore · 9,205 bytesreferences/best_practices.mddoc · 14,181 bytesreferences/core_concepts.mddoc · 8,348 bytesreferences/io_guide.mddoc · 11,208 bytesreferences/operations.mddoc · 12,080 bytesreferences/pandas_migration.mddoc · 12,353 bytesreferences/transformations.mddoc · 11,183 bytes
Read excerpt
# 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:
```python
uv pip install polars
```