ml-ops
Installation
SKILL.md
MLOps Guide
Core Philosophy
MLOps is DevOps + Data + Models. You need all three disciplines working together: software engineering rigor, data quality management, and model performance monitoring.
"A model is only as good as its last prediction in production."
MLOps Maturity Levels
Level 0: Manual everything
├── Jupyter notebooks → manual deployment
├── No versioning, no monitoring
└── "It works on my machine"