Can I customize the cluster configurations?

Absolutely. While the skill provides templates, it guides you through customizing project IDs, locations, cluster names, machine types, and node counts.

What types of GKE clusters can this skill create?

The skill supports Standard Zonal, Standard Regional, Autopilot, and specialized GPU/AI clusters for inference (L4) and hypercomputing (H100).

Does it handle cost management?

The skill provides proactive warnings for high-cost resources like GPU or Regional clusters and suggests cost-saving features like Autoscaling and Spot VMs.

Does this skill follow security best practices?

Yes, it defaults to security-first configurations including Private Clusters, VPC-native networking, Workload Identity, and Shielded GKE Nodes.

Is there a dependency for this skill?

This skill requires the GKE MCP toolset, specifically the create_cluster tool, to execute the deployment on Google Cloud Platform.

GKE Cluster Creator

Name: GKE Cluster Creator
Author: GoogleCloudPlatform

byGoogleCloudPlatform

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125

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Cloud Infrastructure

Provisions production-ready Google Kubernetes Engine clusters using optimized templates and Google Cloud best practices.

The GKE Cluster Creator skill streamlines the deployment of Kubernetes infrastructure on Google Cloud by providing curated templates for various workloads, ranging from cost-effective development environments to high-performance AI training clusters. It automates the configuration process, ensuring that every cluster adheres to essential security standards like VPC-native networking and Workload Identity while guiding users through customization options for regions, machine types, and scaling requirements. This skill is ideal for developers and DevOps engineers looking to reduce the complexity of GKE setup while maintaining a high security and reliability posture.

Key Features

01Cost optimization through rightsizing recommendations and Spot VM options

02125 GitHub stars

03Built-in security best practices including Private Clusters and Shielded Nodes

04Specialized support for AI Hypercompute and GPU inference workloads

05Guided template selection for Standard, Autopilot, and GPU-optimized clusters

06Automated configuration validation against MCP tool schemas

Use Cases

01Configuring specialized G2 or A3 machine families for machine learning training and inference

02Deploying high-availability regional clusters for production-grade microservices

03Rapidly spinning up cost-effective zonal clusters for development and testing

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add googlecloudplatform/gke-mcp gke-cluster-creator

For use in Claude.ai and ChatGPT

Download Skill