MLOps across model deployment, ML pipelines, monitoring, and feature stores. Use when deploying models to production, building training pipelines, setting up drift detection, configuring feature stores, or automating ML CI/CD workflows.
Install
npx skills add borghei/Claude-Skills --skill ml-ops-engineernpx skills add borghei/Claude-Skills --skill ml-ops-engineer -a claude-code -gnpx skills add borghei/Claude-Skills --skill ml-ops-engineer -a codex -ggemini skills install https://github.com/borghei/Claude-Skills.git --path data-analytics/ml-ops-engineergh skill install borghei/Claude-Skills ml-ops-engineergit clone --depth 1 https://github.com/borghei/Claude-Skills /tmp/borghei__Claude-Skills
mkdir -p ~/.claude/skills ~/.agents/skills
cp -R /tmp/borghei__Claude-Skills/data-analytics/ml-ops-engineer ~/.claude/skills/ml-ops-engineer # Claude Code
cp -R /tmp/borghei__Claude-Skills/data-analytics/ml-ops-engineer ~/.agents/skills/ml-ops-engineer # Codex, Cursor, Gemini CLI, Copilot, OpenCode