polars

Lightning-fast DataFrame library written in Rust for high-performance data manipulation and analysis. Use when user wants blazing fast data transformations, working with large datasets, lazy evaluation pipelines, or needs better performance than pandas. Ideal for ETL, data wrangling, aggregations, joins, and reading/writing CSV, Parquet, JSON files.

Also in: python json

Third-Party Agent Skill: Review the code before installing. Agent skills execute in your AI assistant's environment and can access your files. Learn more about security

Installation for Agentic Skill

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Claude Code (CLI) Fast

skilz install silvainfm/paie_reflex/polars

OpenCode (CLI) Fast

skilz install silvainfm/paie_reflex/polars --agent opencode

OpenAI Codex (CLI) Native

skilz install silvainfm/paie_reflex/polars --agent codex

Gemini CLI (Project) Project

skilz install silvainfm/paie_reflex/polars --agent gemini

First time? Install Skilz: pip install skilz

Works with 22+ AI coding assistants

Cursor, Aider, Copilot, Windsurf, Qwen, Kimi, and more...

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For Claude Desktop Easy

Download Agent Skill ZIP

Extract and copy to ~/.claude/skills/ then restart Claude Desktop

Manual Installation

1. Clone the repository:

git clone https://github.com/silvainfm/paie_reflex

2. Copy the agent skill directory:

cp -r paie_reflex/.claude/skills/polars ~/.claude/skills/

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Need detailed installation help? Check our platform-specific guides:

Claude Desktop Guide Claude Code Guide Troubleshooting

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Agentic Skill Details

Owner: silvainfm (GitHub)
Repository: paie_reflex
Type: Technical
Meta-Domain: data ai
Primary Domain: data analysis
Market Score: 12

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