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polars

80 / 100 · Low risk

Fine to try.

By anubhavg-icpl/vibe (GitHub) · data · 13 stars · scanned at commit d51e7ac

Fast in-memory DataFrame library for datasets that fit in RAM. Use when pandas is too slow but data still fits in memory. Lazy evaluation, parallel execution, Apache Arrow backend. Best for 1-100GB datasets, ETL pipelines, faster pandas replacement. For larger-than-RAM data use dask or vaex.

Works with any agent that supports SKILL.md skills.

What this skill can do

Other copies in this repository

anubhavg-icpl/vibe has 1 more folder with a skill named polars. This page shows the lowest-scoring copy.

• skills/sci-polars 80/100 · Low risk

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=$(mktemp -d) && git clone --quiet --filter=blob:none --no-checkout 'https://github.com/anubhavg-icpl/vibe' "$d" && git -C "$d" checkout --quiet 'd51e7ac9a34111cd2e63daed83c2198f91570050' -- 'skills/ag-polars' && mkdir -p ~/.agents/skills && cp -R "$d"/'skills/ag-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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