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polars

80 / 100 · Low risk

Fine to try.

By KalarisLabs/research-agent-skills (GitHub) · research · 126 stars · scanned at commit 802bbea

High-performance DataFrame library for Python ETL, analytics, and pandas migration. Use for expression-based data manipulation with lazy query optimization, parallel execution, streaming out-of-core processing, Arrow interoperability, and optional GPU execution.

Works with any agent that supports SKILL.md skills.

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What this skill can do

Install

Paste this into your terminal. It downloads exactly the version we scanned, not whatever is newest.

if [ -e ~/.agents/skills/'polars' ] || [ -L ~/.agents/skills/'polars' ]; then echo 'A skill folder named polars already exists — not replacing it' >&2; false; else d=$(mktemp -d) && git clone --quiet --filter=blob:none --no-checkout 'https://github.com/KalarisLabs/research-agent-skills' "$d" && git -C "$d" checkout --quiet '802bbea44e551abac24d6856f83fc55149bbdba3' -- 'skills/polars' && mkdir -p ~/.agents/skills && cp -R "$d"/'skills/polars' ~/.agents/skills/'polars' && rm -rf "$d"; fi

Codex reads ~/.agents/skills directly. For Claude Code, Cursor, Copilot, Gemini CLI, Antigravity or OpenCode, also link it. For Claude Code: ln -s ~/.agents/skills/'polars' ~/.claude/skills/'polars' (other agents: ~/.cursor/skills, ~/.copilot/skills, ~/.gemini/skills, ~/.gemini/config/skills, ~/.config/opencode/skills). Or install through the finder skill, which does both.

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