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dask

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.

by K-Dense-AI 40k MIT Updated Aug 31, 2026
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Install skill View on GitHub ↗
dask skill by K-Dense-AI
dask — Data skill by K-Dense-AI

Overview

dask is an open-source data skill for Claude Code and compatible agents, published by K-Dense-AI. Its author describes it as: “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…”. The project has 40k stars on GitHub and is available under the MIT license. Add it to your setup with `git clone https://github.com/K-Dense-AI/scientific-agent-skills ~/.claude/skills/dask`.

What dask does

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

What’s inside

The SKILL.md for dask is organised into these sections:

  • Overview
  • Quick Start
  • Installation
  • When to Use This Skill
  • Core Capabilities
  • 1. DataFrames - Parallel Pandas Operations
  • 2. Arrays - Parallel NumPy Operations
  • 3. Bags - Parallel Processing of Unstructured Data
  • 4. Futures - Task-Based Parallelization
  • 5. Schedulers - Execution Backends
  • Best Practices
  • Start with Simpler Solutions

Installation

Add dask to your agent with:

git clone https://github.com/K-Dense-AI/scientific-agent-skills ~/.claude/skills/dask

Review a skill’s source before installing it — skills can instruct your agent to run commands. This command comes from the skill’s public repository, which is the source of truth for setup steps. New to skills? Read how to install Claude Code skills.

Supported agents

Neither the skill nor its repository names a specific agent. It uses the SKILL.md format, which several agents can load — check the repository for any agent-specific requirements.

License

dask is published under the MIT license.

Strengths

  • Clear MIT license — safe to read and adapt within its terms
  • Ships in K-Dense-AI/scientific-agent-skills, an established project with 40,410 GitHub stars
  • Actively maintained — repository updated in the last 30 days
  • Its repository gained 6,589 GitHub stars over the last 13 days

Author

K-Dense-AI 42 skills in the catalog · GitHub profile ↗
View skills

Topics

agent-skillsai-scientistbioinformaticschemoinformaticsclaudeclaude-skillsclaudecodeclinical-researchcomputational-biologydata-analysisdrug-discoverygenomicsmaterials-sciencemetabolomicsproteomicsscientific-computingscientific-visualization
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Frequently asked questions

What does dask do?
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.
How do I install dask?
Run git clone https://github.com/K-Dense-AI/scientific-agent-skills ~/.claude/skills/dask in your agent, then reload your skills. Review the source at https://github.com/K-Dense-AI/scientific-agent-skills before installing.
Is dask free to use?
Yes. dask is free and open source under the MIT license, so you can read, run, and adapt it within that license's terms.
Where does dask come from?
dask ships inside K-Dense-AI/scientific-agent-skills, a repository that contains 42 catalogued skills in total. The repository's 40,410 GitHub stars apply to that whole collection, not to this skill on its own.

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