The machine-learning-engineer skill provides Python scripts and references for building ML pipelines with scikit-learn, performing feature engineering, and managing Jupyter-based workflows for traditional machine learning projects. It is designed for machine learning engineers who need production-ready code for model training, hyperparameter optimization, and model deployment preparation. The skill solves the problem of establishing standardized, best-practice approaches to ML development with proper error handling and configuration management.
npx -y skills add 404kidwiz/claude-supercode-skills --skill machine-learning-engineer --agent claude-codeInstalls into .claude/skills of the current project.
Select a file.
sickn33/antigravity-awesome-skills