Scales pandas/NumPy workflows beyond memory with Dask distributed computing — parallel DataFrames, arrays, delayed task graphs, and cluster execution. Use when existing pandas/NumPy code must run on larger-than-RAM data or across clusters, for parallel file processing, distributed ML, or integration with existing pandas code.
Install
npx skills add AlterLab-IEU/AlterLab-Academic-Skills --skill alterlab-dasknpx skills add AlterLab-IEU/AlterLab-Academic-Skills --skill alterlab-dask -a claude-code -gnpx skills add AlterLab-IEU/AlterLab-Academic-Skills --skill alterlab-dask -a codex -ggemini skills install https://github.com/AlterLab-IEU/AlterLab-Academic-Skills.git --path skills/data-science/alterlab-daskgh skill install AlterLab-IEU/AlterLab-Academic-Skills alterlab-daskgit clone --depth 1 https://github.com/AlterLab-IEU/AlterLab-Academic-Skills /tmp/AlterLab-IEU__AlterLab-Academic-Skills
mkdir -p ~/.claude/skills ~/.agents/skills
cp -R /tmp/AlterLab-IEU__AlterLab-Academic-Skills/skills/data-science/alterlab-dask ~/.claude/skills/alterlab-dask # Claude Code
cp -R /tmp/AlterLab-IEU__AlterLab-Academic-Skills/skills/data-science/alterlab-dask ~/.agents/skills/alterlab-dask # Codex, Cursor, Gemini CLI, Copilot, OpenCode