googlecloudplatform/gke-mcp

1

gke-app-onboarding Workflows for containerizing and deploying applications to GKE for the first time.

googlecloudplatform/gke-mcp

49

2

gke-reliability Workflows for ensuring high availability and reliability of GKE workloads.

googlecloudplatform/gke-mcp

49

3

gke-cluster-creator Guides the user through creating GKE clusters using pre-defined templates (Standard, Autopilot, GPU/AI).

googlecloudplatform/gke-mcp

48

4

gke-cost-analysis Answer natural language questions about GKE-related costs by leveraging BigQuery export and cost allocation data.

googlecloudplatform/gke-mcp

48

5

gke-multi-tenancy Guidance on implementing multi-tenancy and governance in Google Kubernetes Engine (GKE) clusters.

googlecloudplatform/gke-mcp

48

6

gke-networking-edge Workflows for configuring edge networking, ingress, and security on GKE.

googlecloudplatform/gke-mcp

48

7

gke-observability Workflows for setting up and auditing observability (logging, monitoring, tracing) on GKE.

googlecloudplatform/gke-mcp

48

8

gke-workload-scaling Specific workflows for scaling GKE workloads using HPA and VPA, as well as best practices for autoscaling configurati…

googlecloudplatform/gke-mcp

48

9

gke-workload-security Workflows for auditing and hardening the security of GKE workloads.

googlecloudplatform/gke-mcp

48

10

custom-golden-image-discovery Expert at discovering golden base images for GKE custom nodes using technical specs or context clues.

googlecloudplatform/gke-mcp

47

11

gke-ai-troubleshooting-skill-creation-guide Expert instructions for building high-quality GKE troubleshooting skills. Codifies Step 0 context rules, zero-halluci…

googlecloudplatform/gke-mcp

47

12

gke-ai-troubleshooting-tpu-connection-failure-vbar-oom Diagnose and prevent `vbar_control_agent` segfaults and OOMs caused by race conditions during TPU device resets and f…

googlecloudplatform/gke-mcp

47

13

gke-backup-dr Workflows for configuring Backup for GKE and disaster recovery.

googlecloudplatform/gke-mcp

47

14

gke-cluster-lifecycle Guidance on managing the lifecycle and upgrades of Google Kubernetes Engine (GKE) clusters.

googlecloudplatform/gke-mcp

47

15

gke-compute-class-creator Guide for creating GKE ComputeClass resources. Use this skill when users want to define custom node configurations, a…

googlecloudplatform/gke-mcp

47

16

gke-cost-optimization Guidance on optimizing costs for Google Kubernetes Engine (GKE) clusters.

googlecloudplatform/gke-mcp

47

17

gke-inference-quickstart Deploy optimized AI/ML inference workloads on GKE using Google's Inference Quickstart (GIQ). Covers model discovery, …

googlecloudplatform/gke-mcp

47

18

gke-productionize Assists in preparing applications and clusters on GKE for production.

googlecloudplatform/gke-mcp

47

19

gke-storage Guidance on managing storage in Google Kubernetes Engine (GKE) clusters.

googlecloudplatform/gke-mcp

47

20

gke-ai-troubleshooting-jobset-interruption Systematically diagnose GKE JobSet interruptions, restarts, and preemptions for AI/ML training workloads. Identifies …

googlecloudplatform/gke-mcp

45

21

gke-skill-creator Dynamically generates specialized GKE skills for complex troubleshooting, operational workflows, architectural setup,…

googlecloudplatform/gke-mcp

32

22

gke-ai-troubleshooting-handle-disruption-gpu-tpu Diagnose and predict node disruption during Compute Engine host maintenance for GPU and TPU workloads.

googlecloudplatform/gke-mcp

24

23

gke-tpu-metrics-monitoring Monitor and troubleshoot GKE TPU workloads using GKE system metrics and PromQL.

googlecloudplatform/gke-mcp

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24

gke-tpu-dynamic-slices-monitoring Monitor and manage GKE TPU Dynamic Slices custom resources. Use when checking slice lifecycle states, troubleshooting…

googlecloudplatform/gke-mcp

22

25

verify_unused Verifies if a GKE or Kubernetes cluster is unused (no active compute, external exposure, or persistent data) before a…

googlecloudplatform/gke-mcp

22