dask
Distributed computing for larger-than-RAM pandas/NumPy workflows.
Skill by tassiovale
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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/tassiovale-dask
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About
Use cases: data, ml
Reviews
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What's inside
- Skill name
dask- Description
- 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.
- License
- BSD-3-Clause license
- Compatibility
- Requires Python 3.10+ and dask 2025.1+. DataFrame workflows need pandas 2+ and PyArrow 16+. Cloud paths (s3://, gcs://) need s3fs or gcsfs. Cluster deployment uses dask.distributed (included with dask[complete]).
- Allowed tools
- Read, Write, Edit, Bash
- Metadata
- version: 1.1 · skill-author: K-Dense Inc.
- Instructions
- 473 lines in SKILL.md · view on GitHub
Before installing
- Pre-approves any shell command
Files (7)
- SKILL.md
- arrays.md · references/
- bags.md · references/
- best-practices.md · references/
- dataframes.md · references/
- futures.md · references/
- schedulers.md · references/
The license isn't open source, so the instructions aren't shown here. Read SKILL.md on GitHub
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Signals
- Stars
- 12
- Forks
- 4
- Open issues
- 0
- Last commit (this folder)
- Jun 10, 2026 (4 months ago)
- Last release
- Jul 26, 2026 (3 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- Version
- 1.1
- License
- BSD-3-Clause license
- Repository
- github.com/tassiovale/claude-code-kit
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
dask skill. Agent Mart. https://agentmart.dev/skills/tassiovale-dask (last updated 2026-10-24)