**Trigger**: Use when working with Google Kubernetes Engine basics — cluster setup, node pools, workloads, networking, and storage fundamentals. Managed Kubernetes platform on Google Cloud. Defaults to Autopilot mode.
Scanned 9/10/2026
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---
name: gke-basics
description: >-
source: google/skills
tags: [gcp, kubernetes, gke, container, orchestration]
metadata:
hermes:
---
**Trigger**: Use when working with Google Kubernetes Engine basics — cluster setup, node pools, workloads, networking, and storage fundamentals.
# GKE Basics
Managed Kubernetes platform on Google Cloud. Defaults to Autopilot mode.
## 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
```
## GKE Skill Routing Table
Load the single, most specific GKE sub-skill below matching your workload
requirements. **Do not load multiple GKE skills unless explicitly required.**
| Scenario | Trigger Keywords | Target Skill |
| -------------------- | ----------------------- | --------------------------- |
| Golden Path Defaults | production defaults, | `gke-golden-path` |
: : golden path : :
| Cluster Creation | create cluster, | `gke-cluster-creation` |
: : provision GKE : :
| Networking & Ingress | private cluster, VPC, | `gke-networking`, |
: : Gateway API, Ingress, : `gke-service-networking` :
: : DNS : :
| Security & IAM | Workload Identity, | `gke-platform-security`, |
: : Secret Manager, RBAC, : `gke-workload-security` :
: : hardening : :
| Autoscaling | HPA, VPA, Cluster | `gke-workload-scaling` |
: : Autoscaler, NAP : :
| Compute Classes | ComputeClass, Spot | `gke-compute-classes` |
: : fallback, GPU/TPU nodes : :
| Cost Analysis | BigQuery billing | `gke-cost-analysis` |
: : exports, budgets, live : :
: : monitoring : :
| Cost Optimization | Spot VMs, rightsizing, | `gke-cost-optimization` |
: : quotas : :
| AI/ML Workloads | LLM, GPU/TPU inference, | `gke-inference` |
: : serving, vLLM : :
| GPU/TPU Disruption | GPU termination, TPU | `gke-ai-troubleshooting-` |
: : shutdown, host : `handle-disruption-gpu-tpu` :
: : maintenance : :
| Cluster Upgrades | upgrade, maintenance | `gke-upgrades` |
: : window, release channel : :
| Observability | monitoring, logging, | `gke-observability` |
: : Prometheus, dashboards : :
| Multi-tenancy | namespace isolation, | `gke-multitenancy` |
: : resource quota, : :
: : LimitRange : :
| Batch & HPC | batch, HPC, Kueue, | `gke-batch-hpc` |
: : JobSet, parallel jobs : :
| App Onboarding | containerize, | `gke-app-onboarding` |
: : Dockerfile, deploy app, : :
: : onboard : :
| Backup & DR | backup plan, restore, | `gke-backup-dr` |
: : disaster recovery, CMEK : :
| Storage & PVC | SSD, PV, PVC, | `gke-storage` |
: : StorageClass, GCS FUSE : :
| Reliability | PDB, health probe, | `gke-reliability` |
: : liveness, readiness : :
| Productionization | production readiness, | `gke-productionize` |
: : productionize, : :
: : readiness scoring, : :
: : audit cluster : :
| Manifest Generation | generate YAML, manifest | `gke-manifest-generation` |
: : template, : :
: : securityContext probes, : :
: : resource limits : :
## Conceptual & Informational Queries (CRITICAL)
For purely conceptual, educational, or informational questions (e.g. "What is
GKE?", "Explain GKE architecture", or "Compare Standard vs Autopilot" in a
generic sense):
* **Rule**: **Answer immediately using your pre-trained knowledge.**
* **Constraint**: **Do not execute code searches, directory listings, or other
tool calls** unless the user explicitly requests you to inspect the local
workspace or run a command. Keep it fast, cheap, and direct.
Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
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