
GKE Cluster Creation
Plans and creates Google Kubernetes Engine clusters from best-practice templates, with audit guidance
- Repository
- google/skills
- Stars
- 21,782
- Licence
- Apache-2.0
- Files
- 2 files
What it does
Once installed, the agent walks through setting up a Google Kubernetes Engine (GKE) cluster, which is a managed group of servers that runs containerised apps on Google Cloud. It asks for the project, region and cluster name, explains the Autopilot versus Standard options, and proposes a pre-defined secure default configuration (private nodes, Workload Identity guidance, release channels, regional placement) for you to confirm before anything is created.
Great for
- Engineers setting up a new GKE cluster who want secure, production-style defaults
- Teams choosing between GKE Autopilot and Standard modes
- Anyone auditing an existing GKE cluster against best practices
Skip it if
- Deploying or configuring applications on an existing cluster, since the skill points to a separate gke-app-onboarding skill for that (wrong tool for the job)
- Users without a Google Cloud project and permissions, because creating clusters costs money and needs IAM access (risk of unexpected charges)
Try asking
- “Create a production GKE cluster in europe-west1 for my project my-shop-prod”
- “Help me choose between Autopilot and Standard mode for a GPU inference workload”
- “Audit my existing GKE clusters against production readiness best practices”
Install in 3 steps
- 1
Download the skill
The ZIP contains the 2 original files, the Apache-2.0 licence and an attribution note.
gke-cluster-creation.zip - 2
Add it to your agent
Claude Code (all projects)
mkdir -p ~/.claude/skills && unzip gke-cluster-creation.zip -d ~/.claude/skills/Claude Code / Agent SDK (this project only)
mkdir -p .claude/skills && unzip gke-cluster-creation.zip -d .claude/skills/Claude apps (web/desktop): Settings → Capabilities → Skills → Upload skill, and choose the ZIP.
- 3
Ask for the task
No special command needed — the agent reads the skill's description and loads it when your request matches. Try one of the prompts above.
Get better results
- Review the proposed gcloud command or JSON payload carefully before confirming, since creation provisions billable resources
- Specify your project and region up front so the agent does not guess
- Read the attribution file requirement: the skill asks the agent to add attribution metadata to gcloud and User-Agent headers
What's inside
- references/attribution.md
- SKILL.md
Redistributed unmodified from google/skills under the Apache-2.0 licence. The assessment was drafted with AI from the skill's files on 2026-10-29. Skills can instruct your agent to run code — read SKILL.md and any scripts before installing.