How do I install the Gke Basics skill?

Run npx skillmds@latest add metinduraktr-44/gke-basics in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

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Is Gke Basics free to use?

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Who published Gke Basics?

metinduraktr-44 (@metinduraktr-44) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Gke Basics by metinduraktr-44 — Agent Skill

Name: Gke Basics
Rating: 4.2 (5 reviews)
Author: metinduraktr-44

Gke Basics

Plans, creates, and configures production-ready Google Kubernetes Engine (GKE) clusters using the golden path Autopilot configuration. Covers networking, security, observability, scaling, cost optimization, and AI/ML inference on GKE.

metinduraktr-44 Updated Sep 9, 2026 0 repo stars

File contents

Google Kubernetes Engine (GKE) Basics

GKE is a managed Kubernetes platform on Google Cloud for deploying, scaling, and operating containerized applications. This skill defaults to the golden path Autopilot configuration — see gke-golden-path.md for defaults, rules, and guardrails.

Quick Start

gcloud services enable container.googleapis.com --quiet
gcloud container clusters create-auto my-cluster --region=us-central1 --quiet
gcloud container clusters get-credentials my-cluster --region=us-central1 --quiet
kubectl create deployment hello-server \
  --image=us-docker.pkg.dev/google-samples/containers/gke/hello-app:1.0

Reference Directory

Load the relevant reference based on trigger keywords. Prefer the most specific match; if ambiguous, ask the user to clarify.

Scenario	Trigger Keywords	Reference
Core Concepts	Autopilot vs Standard, architecture, pricing, what is GKE	core-concepts.md
Golden Path & Defaults	golden path, Day-0 checklist, production defaults, cluster defaults	gke-golden-path.md
Cluster Creation	create cluster, new cluster, provision GKE	gke-cluster-creation.md
Networking	private cluster, VPC, subnet, Gateway API, DNS, ingress, egress, datapath	gke-networking.md
Security & IAM	Workload Identity, Secret Manager, RBAC, Binary Auth, hardening, audit, gVisor, IAM roles	gke-security.md
Scaling	HPA, VPA, autoscaler, autoscaling, NAP, scale pods, scale nodes	gke-scaling.md
Compute Classes	ComputeClass, machine family, Spot fallback, GPU node pool, node selection	gke-compute-classes.md
Cost	cost, savings, Spot VMs, rightsizing, CUD, optimize spend, budget	gke-cost.md
AI/ML Inference	inference, model serving, LLM, GPU, TPU, GIQ, vLLM	gke-inference.md
Upgrades	upgrade, maintenance window, release channel, patching, version	gke-upgrades.md
Observability	monitoring, logging, Prometheus, Grafana, metrics, alerts, dashboards	gke-observability.md
Multi-tenancy	multi-tenant, namespace isolation, team access, enterprise, RBAC planning	gke-multitenancy.md
Batch & HPC	batch, HPC, job queue, high performance, MPI, parallel	gke-batch-hpc.md
App Onboarding	containerize, deploy app, Dockerfile, onboard, migrate to GKE	gke-app-onboarding.md
Backup & DR	backup, restore, disaster recovery, CMEK	gke-backup-dr.md
Storage	storage, PVC, persistent volume, StorageClass, Filestore, GCS FUSE	gke-storage.md
Reliability	PDB, health probe, liveness, readiness, topology spread, graceful shutdown	gke-reliability.md
Client Libraries	client library, client-go, kubernetes python, kubernetes java, kubernetes SDK	client-library-usage.md
Infrastructure as Code	Terraform, IaC, HCL, infrastructure as code	iac-usage.md
MCP Server	MCP tools, MCP server, MCP setup	mcp-usage.md
CLI / Tools	gcloud, kubectl, commands, how to	cli-reference.md
Production Audit	production readiness, compliance, golden path check	gke-cluster-creation.md

If you need product information not found in these references, use the Developer Knowledge MCP server search_documents tool.

---name: gke-basicsdescription: Plans, creates, and configures production-ready Google Kubernetes Engine (GKE) clusters using the golden path Autopilot configuration. Covers networking, security, observability, scaling, cost optimization, and AI/ML inference on GKE.--- # Google Kubernetes Engine (GKE) Basics GKE is a managed Kubernetes platform on Google Cloud for deploying, scaling, and operating containerized applications. This skill defaults to the **golden path Autopilot configuration** — see [gke-golden-path.md](./references/gke-golden-path.md) for defaults, rules, and guardrails. ## Quick Start ```bash gcloud services enable container.googleapis.com --quiet gcloud container clusters create-auto my-cluster --region=us-central1 --quiet gcloud container clusters get-credentials my-cluster --region=us-central1 --quiet kubectl create deployment hello-server \ --image=us-docker.pkg.dev/google-samples/containers/gke/hello-app:1.0 ``` ## Reference Directory Load the relevant reference based on trigger keywords. Prefer the most specific match; if ambiguous, ask the user to clarify. | Scenario | Trigger Keywords | Reference | |----------|-----------------|-----------| | Core Concepts | Autopilot vs Standard, architecture, pricing, what is GKE | [core-concepts.md](./references/core-concepts.md) | | Golden Path & Defaults | golden path, Day-0 checklist, production defaults, cluster defaults | [gke-golden-path.md](./references/gke-golden-path.md) | | Cluster Creation | create cluster, new cluster, provision GKE | [gke-cluster-creation.md](./references/gke-cluster-creation.md) | | Networking | private cluster, VPC, subnet, Gateway API, DNS, ingress, egress, datapath | [gke-networking.md](./references/gke-networking.md) | | Security & IAM | Workload Identity, Secret Manager, RBAC, Binary Auth, hardening, audit, gVisor, IAM roles | [gke-security.md](./references/gke-security.md) | | Scaling | HPA, VPA, autoscaler, autoscaling, NAP, scale pods, scale nodes | [gke-scaling.md](./references/gke-scaling.md) | | Compute Classes | ComputeClass, machine family, Spot fallback, GPU node pool, node selection | [gke-compute-classes.md](./references/gke-compute-classes.md) | | Cost | cost, savings, Spot VMs, rightsizing, CUD, optimize spend, budget | [gke-cost.md](./references/gke-cost.md) | | AI/ML Inference | inference, model serving, LLM, GPU, TPU, GIQ, vLLM | [gke-inference.md](./references/gke-inference.md) | | Upgrades | upgrade, maintenance window, release channel, patching, version | [gke-upgrades.md](./references/gke-upgrades.md) | | Observability | monitoring, logging, Prometheus, Grafana, metrics, alerts, dashboards | [gke-observability.md](./references/gke-observability.md) | | Multi-tenancy | multi-tenant, namespace isolation, team access, enterprise, RBAC planning | [gke-multitenancy.md](./references/gke-multitenancy.md) | | Batch & HPC | batch, HPC, job queue, high performance, MPI, parallel | [gke-batch-hpc.md](./references/gke-batch-hpc.md) | | App Onboarding | containerize, deploy app, Dockerfile, onboard, migrate to GKE | [gke-app-onboarding.md](./references/gke-app-onboarding.md) | | Backup & DR | backup, restore, disaster recovery, CMEK | [gke-backup-dr.md](./references/gke-backup-dr.md) | | Storage | storage, PVC, persistent volume, StorageClass, Filestore, GCS FUSE | [gke-storage.md](./references/gke-storage.md) | | Reliability | PDB, health probe, liveness, readiness, topology spread, graceful shutdown | [gke-reliability.md](./references/gke-reliability.md) | | Client Libraries | client library, client-go, kubernetes python, kubernetes java, kubernetes SDK | [client-library-usage.md](./references/client-library-usage.md) | | Infrastructure as Code | Terraform, IaC, HCL, infrastructure as code | [iac-usage.md](./references/iac-usage.md) | | MCP Server | MCP tools, MCP server, MCP setup | [mcp-usage.md](./references/mcp-usage.md) | | CLI / Tools | gcloud, kubectl, commands, how to | [cli-reference.md](./references/cli-reference.md) | | Production Audit | production readiness, compliance, golden path check | [gke-cluster-creation.md](./references/gke-cluster-creation.md) | *If you need product information not found in these references, use the Developer Knowledge MCP server `search_documents` tool.*

Frequently asked questions