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SkillHub ClubAnalyze Data & AIData / AI

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.

Stars
140
Hot score
95
Updated
March 20, 2026
Overall rating
A8.3
Composite score
6.5
Best-practice grade
C63.9

Install command

npx @skill-hub/cli install microck-ordinary-claude-skills-dask
parallel-computingbig-datapythondata-processingperformance

Repository

Microck/ordinary-claude-skills

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 repository

Best 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

Claude CodeCodex CLIGemini CLIOpenCode

Favorites: 0.

Sub-skills: 0.

Aggregator: No.

dask | SkillHub