What problem does it solve? Upgrading GKE clusters involves version compatibility checks, node pool strategy selection, maintenance window coordination, and failure diagnosis — mistakes cause downtime or stuck rollouts. This Skill produces tailored upgrade plans, runbooks, and checklists for Standard and Autopilot clusters. ## Core Features & Use Cases - Upgrade Planning: Generates version compatibility analysis, sequential upgrade paths, and node pool strategies (surge, blue-green, autoscaled blue-green) matched to workload types like stateful, GPU, or batch. - Runbooks & Checklists: Produces copyable gcloud/kubectl command sequences and pre/post-upgrade checklists, including PDB backup-and-restore procedures and maintenance exclusion configuration. - Troubleshooting: Diagnoses stuck upgrades across PDB blocks, resource constraints, bare pods, admission webhooks, PVC issues, stockouts, and GPU driver regressions. - Use Case: A platform engineer needs to move production clusters from GKE 1.29 to 1.30 across dev, staging, and prod. The Skill outputs a rollout sequencing plan, per-pool surge settings, exclusion windows for a freeze period, and a rollback runbook. ## Quick Start Ask the assistant to plan a GKE upgrade for your cluster, providing the cluster mode, current and target versions, release channel, and workload types.