gke

Manage Google Kubernetes Engine clusters with gcloud CLI and kubectl.

15|4|Updated Jan 20, 2026

Search Tags:#devops #kubernetes #google cloud #cloud native #cluster management #gke

Ready to run

npx skills add https://github.com/cofin/flow --skill gke

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: gke
Source: https://github.com/cofin/flow/tree/main/skills/gke
Command: npx skills add https://github.com/cofin/flow --skill gke

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides expert guidance and commands for managing Google Kubernetes Engine (GKE) clusters, simplifying complex operations from creation to troubleshooting.

Core Features & Use Cases

Cluster Management: Create, configure, and manage GKE clusters (Autopilot and Standard).
Node Pool Operations: Efficiently manage node pools, including GPU and Spot instances.
Workload Identity & Security: Implement secure access to Google Cloud APIs using Workload Identity and apply security best practices.
Autoscaling & Networking: Configure autoscaling for pods and clusters, and manage Kubernetes networking with Services and Ingress.
Troubleshooting: Provides commands and strategies for diagnosing and resolving common GKE issues.

Quick Start

Use the gke skill to create a new Autopilot GKE cluster named 'my-autopilot-cluster' in the 'us-central1' region.

Frequently Asked Questions about gke

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

What's the best way to create a Google Kubernetes Engine cluster in Autopilot mode?▼

Standard mode offers full control over node pool configuration and underlying infrastructure, whereas Autopilot mode provides a fully managed environment where Google handles node provisioning, scaling, and security defaults.

How do I configure Workload Identity for secure Google Cloud API access in GKE?▼

Configure Workload Identity by binding Kubernetes service accounts to Google Cloud IAM service accounts, allowing pods to securely access Google Cloud APIs without managing static credentials.

Why is my GKE cluster autoscaling not working as expected?▼

Diagnose GKE autoscaling failures by checking the cluster autoscaler status and node pool utilization metrics to identify resource constraints or improperly configured pod resource limits.

Can I manage GPU and Spot instances in GKE node pools?▼

Manage GPU and Spot instances by configuring specific node pools with the gcloud CLI, enabling cost-optimized computing and specialized hardware acceleration for cloud native workloads.

What are the prerequisites for managing GKE clusters with gcloud and kubectl?▼

Managing GKE clusters requires the gcloud CLI and kubectl installed, authenticated with Google Cloud credentials, and configured with appropriate IAM permissions for cluster administration.