Guide for deploying the Anyscale GCP GKE new cluster example from examples/gcp/gke-new_cluster/. Use when the user asks about deploying, setting up, or configuring GKE for Anyscale.
83
77%
Does it follow best practices?
Impact
98%
1.48xAverage score across 3 eval scenarios
Advisory
Suggest reviewing before use
Fix and improve this skill with Tessl
tessl review fix ./.claude/skills/deploy-gcp-gke/SKILL.mdTerraform tfvars configuration for GKE
google_project_id set
100%
100%
google_region set
100%
100%
Correct tfvars directory
100%
100%
Cluster name constraint: length
100%
100%
Cluster name constraint: no leading digit
100%
100%
gke_cluster_name set
100%
100%
GPU config instance fields
100%
100%
GPU config node_labels field
100%
100%
enable_filestore true
100%
100%
ingress_cidr_ranges set
100%
100%
No Autopilot mention
100%
100%
variables.tf reference
0%
0%
Nginx ingress installation for private GKE
helm repo add nginx
50%
100%
Correct chart version
0%
100%
Private values file
0%
100%
Correct namespace
100%
100%
--create-namespace flag
100%
100%
--install flag
100%
100%
correct release name
50%
100%
No Nvidia plugin install
100%
100%
No autoscaler install
100%
100%
Script is executable
100%
100%
Anyscale operator install with L4 GPU and teardown
helm repo add anyscale
33%
100%
helm repo update
100%
100%
Correct chart and release
62%
100%
cloudDeploymentId param
75%
100%
cloudProvider=gcp param
83%
100%
gcp.region param
0%
100%
iamIdentity param
83%
100%
serviceAccount.name param
0%
100%
operator namespace
66%
100%
L4 ConfigMap entry name
0%
100%
L4 resource values
25%
100%
L4 accelerator type
0%
100%
Teardown helm before terraform
70%
100%
Teardown both releases
0%
100%
e16fe0e
Table of Contents
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.