Gke Compute Classes

This one's laser-focused on GKE ComputeClasses, the API for controlling which machine types and purchasing models your autoscaled node pools use. It helps you set up Spot with on-demand fallback, pin workloads to specific GPUs or TPUs, and debug why pods stay pending when auto-provisioning should kick in. The guidance is aggressive about not hallucinating YAML fields and actually reminds you to align machine families with your existing committed use discounts before deploying, which is the kind of financial footgun most tooling ignores. Useful if you're wrangling GPU workloads or optimizing GKE costs beyond just turning on the autoscaler and hoping for the best.

Install to Claude Code

npx -y skills add google/skills --skill gke-compute-classes --agent claude-code