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polars
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# Install this skill:
npx skills add yonesuke/skills --skill "polars"
Install specific skill from multi-skill repository
# Description
High-performance DataFrame library usage. Covers Lazy API, Wrangling, Aggregation.
# SKILL.md
name: polars
description: High-performance DataFrame library usage. Covers Lazy API, Wrangling, Aggregation.
Polars Skill
Fast data manipulation in Python.
Contents
- Examples
- Lazy API, GroupBy, Window Functions.
Core Concepts
- Lazy API:
df.lazy()...collect(). Preferred for performance (Query Optimization). - Expressions:
pl.col("a") * 2. Parallelizable logic. - Eager API:
df.filter(...). Good for debugging.
Usage
Use for all tabular data tasks unless pandas is strictly required by legacy dependencies.
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# Supported AI Coding Agents
This skill is compatible with the SKILL.md standard and works with all major AI coding agents:
Amp
Antigravity
Claude Code
Clawdbot
Codex
Cursor
Droid
Gemini CLI
GitHub Copilot
Goose
Kilo Code
Kiro CLI
OpenCode
Roo Code
Trae
Windsurf
Learn more about the SKILL.md standard and how to use these skills with your preferred AI coding agent.