dask
100 / 100 · Low risk
Fine to try.
Distributed computing for larger-than-RAM pandas/NumPy workflows. Use when you need to scale existing pandas/NumPy code beyond memory or across clusters. Best for parallel file processing, distributed ML, integration with existing pandas code. For out-of-core analytics on single machine use vaex; for in-memory speed use polars.
What this skill can do
We found nothing in the files we read that matches our rules. That does not prove the skill is safe: see the limits of static scanning.
Install
Paste this into your terminal. It downloads exactly the version we scanned, not whatever is newest.
if [ -e ~/.agents/skills/'dask' ] || [ -L ~/.agents/skills/'dask' ]; then echo 'A skill folder named dask already exists — not replacing it' >&2; false; else d=$(mktemp -d) && git clone --quiet --filter=blob:none --no-checkout 'https://github.com/roohe/agentic-super-skills' "$d" && git -C "$d" checkout --quiet 'f483e54f3ad5f202a77d45f2e57f8d970b71195f' -- 'skills_library/dask' && mkdir -p ~/.agents/skills && cp -R "$d"/'skills_library/dask' ~/.agents/skills/'dask' && 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/'dask' ~/.claude/skills/'dask' (other agents: ~/.cursor/skills, ~/.copilot/skills, ~/.gemini/skills, ~/.gemini/config/skills, ~/.config/opencode/skills). Or install through the finder skill, which does both.
Badge for your README
[](https://zalavijaysinh.github.io/skilltrust/repos/roohe/agentic-super-skills/)
Score history
| Date | Version | Score |
|---|---|---|
| 2026-11-08 | f483e54 | 100 |
Also found in
- BioTender-max/awesome-bio-agent-skills/skills/openclaw/dask
- charlieviettq/awesome-agent-skill/.cursor/skills/data-compute/dask