Deploy ML models with FastAPI, Docker, Kubernetes. Use for serving predictions, containerization, monitoring, drift detection, or encountering latency issues, health check failures, version conflicts.
Install with Tessl CLI
npx tessl i github:secondsky/claude-skills --skill model-deployment90
Does it follow best practices?
Validation for skill structure
Loading evals
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.