Guide to create structured, reproducible Jupyter notebooks for MLOps prototyping, emphasizing configuration management and pipeline integrity.
Install
npx skills add fmind/mlops-python-package --skill mlops-prototypingnpx skills add fmind/mlops-python-package --skill mlops-prototyping -a claude-code -gnpx skills add fmind/mlops-python-package --skill mlops-prototyping -a codex -ggemini skills install https://github.com/fmind/mlops-python-package.git --path '.gemini/skills/MLOps Prototyping'gh skill install fmind/mlops-python-package mlops-prototypinggit clone --depth 1 https://github.com/fmind/mlops-python-package /tmp/fmind__mlops-python-package
mkdir -p ~/.claude/skills ~/.agents/skills
cp -R '/tmp/fmind__mlops-python-package/.gemini/skills/MLOps Prototyping' ~/.claude/skills/mlops-prototyping # Claude Code
cp -R '/tmp/fmind__mlops-python-package/.gemini/skills/MLOps Prototyping' ~/.agents/skills/mlops-prototyping # Codex, Cursor, Gemini CLI, Copilot, OpenCode