writing-skills
writing-skills
Use when creating new skills, editing existing skills, or verifying skills work before deployment
mlops-and-deploymentMLOps and the production ML lifecycle -- model packaging and serving, CI/CD for ML, experiment tracking, model registries, reproducibility, production monitoring for data and concept drift, retraining pipelines, A/B and shadow deployment, and rollback. Covers batch vs online/real-time inference, REST endpoints, feature stores, data and version pinning, dete…
Independent GitHub snapshot · Automated classification · Original documentation governs