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Expert guidance for Google Kubernetes Engine (GKE) operations including cluster management, workload deployment, scaling, monitoring, troubleshooting, and optimization.
Passed 21 of 23 test cases with the skill, and 18 of 23 without it.
3 fixed18 passed either way2 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 3 test cases the skill fixed. Same model, same prompt, with and without the skill.
I am establishing Workload Identity. I created GCP SA gsa-storage and Kubernetes SA ksa-app in project proj-alpha-123. Which command binds the IAM policy role?
| Checked | Without skill | With skill |
|---|---|---|
| Grants role roles/iam.workloadIdentityUser | Passed | Passed |
| Specifies member serviceAccount:proj-alpha-123.svc.id.goog[default/ksa-app] | Missed | Passed |
The instructions your model reads when the skill loads.
Initial Assessment When user requests GKE help, determine:
Cluster type: Autopilot or Standard? Task: Create, Deploy, Scale, Troubleshoot, or Optimize? Environment: Dev, Staging, or Production?
Quick Start Workflows
Create Cluster
Autopilot (recommended for most):
bashgcloud container clusters create-auto CLUSTER_NAME
--region=REGION
--release-channel=regular
Standard (for specific node requirements):
bashgcloud container clusters create CLUSTER_NAME
--zone=ZONE
--num-nodes=3
--enable-autoscaling
--min-nodes=2
--max-nodes=10
Always authenticate after creation:
bashgcloud container clusters get-credentials CLUSTER_NAME --region=REGION
Deploy Application
Create deployment manifest:
yamlapiVersion: apps/v1 kind: Deployment metadata: name: APP_NAME spec: replicas: 3 selector: matchLabels: app: APP_NAME template: metadata: labels:
test cases passed, vs 18 / 23 without
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