dask
Parallel/distributed computing. Scale pandas/NumPy beyond memory, parallel DataFrames/Arrays, multi-file processing, task graphs, for larger-than-RAM datasets and parallel workflows.
npx skills add foryourhealth111-pixel/Vibe-Skills --skill dask --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Dask ## Overview Dask is a Python library for parallel and distributed computing that enables three critical capabilities: - **Larger-than-memory execution** on single machines for data exceeding available RAM - **Parallel processing** for improved computational speed across multiple cores - **Distributed computation** supporting terabyte-scale datasets across multiple machines Dask scales from
What does the dask skill do?
Parallel/distributed computing. Scale pandas/NumPy beyond memory, parallel DataFrames/Arrays, multi-file processing, task graphs, for larger-than-RAM datasets and parallel workflows.
How do I install it?
Run `npx skills add foryourhealth111-pixel/Vibe-Skills --skill dask --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From foryourhealth111-pixel/Vibe-Skills, a repository with 2,593 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.