Model Monitoring

This is a prompt skill for helping Claude monitor ML models in production. It's designed to guide you through tracking performance metrics, detecting data and concept drift, and setting up observability systems for deployed models. The skill comes from a broader collection of AI prompts that's picked up some attention on GitHub. It's useful if you're working on production ML systems and need structured guidance on what to monitor and when to intervene. The skill focuses on the monitoring framework itself rather than specific tooling, so you'll still need to wire it up to your actual metrics pipeline. Good for establishing baselines when you're building out MLOps infrastructure or want a systematic approach to model health checks.