dask
This skill provides detailed guidance for using Dask to process datasets larger than available RAM and parallelize pandas/NumPy operations. It covers DataFrames, Arrays, Bags, Delayed tasks, and Futures with clear examples, performance optimization tips, and common patterns for data workflows.
Packaged view
This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.
Install command
npx @skill-hub/cli install microck-ordinary-claude-skills-dask
Repository
Skill path: skills_all/claude-scientific-skills/scientific-skills/dask
This skill provides detailed guidance for using Dask to process datasets larger than available RAM and parallelize pandas/NumPy operations. It covers DataFrames, Arrays, Bags, Delayed tasks, and Futures with clear examples, performance optimization tips, and common patterns for data workflows.
Open repositoryBest for
Primary workflow: Analyze Data & AI.
Technical facets: Data / AI.
Target audience: Data teams looking for install-ready agent workflows..
License: Unknown.
Original source
Catalog source: SkillHub Club.
Repository owner: Microck.
This is still a mirrored public skill entry. Review the repository before installing into production workflows.
What it helps with
- Install dask into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://github.com/Microck/ordinary-claude-skills before adding dask to shared team environments
- Use dask for data workflows
Works across
Favorites: 0.
Sub-skills: 0.
Aggregator: No.