Work with distributed computing frameworks in Domino including Apache Spark, Ray, and Dask clusters. Covers cluster configuration, on-demand clusters, choosing between frameworks, PySpark usage, and scaling workloads. Use when processing large datasets, parallel ML training, or running distributed compute jobs.
Install
npx skills add dominodatalab/domino-claude-plugin --skill domino-distributed-computingnpx skills add dominodatalab/domino-claude-plugin --skill domino-distributed-computing -a claude-code -gnpx skills add dominodatalab/domino-claude-plugin --skill domino-distributed-computing -a codex -ggemini skills install https://github.com/dominodatalab/domino-claude-plugin.git --path skills/distributed-computinggh skill install dominodatalab/domino-claude-plugin domino-distributed-computinggit clone --depth 1 https://github.com/dominodatalab/domino-claude-plugin /tmp/dominodatalab__domino-claude-plugin
mkdir -p ~/.claude/skills ~/.agents/skills
cp -R /tmp/dominodatalab__domino-claude-plugin/skills/distributed-computing ~/.claude/skills/domino-distributed-computing # Claude Code
cp -R /tmp/dominodatalab__domino-claude-plugin/skills/distributed-computing ~/.agents/skills/domino-distributed-computing # Codex, Cursor, Gemini CLI, Copilot, OpenCode