Kubernetes · By google

Monitors and troubleshoots GKE TPU workloads, nodes, and node pools using GKE system metrics and PromQL.

google/skills

Manages GKE application onboarding, covering containerization, deployment manifests, and migration.

google/skills

Manages core GKE cluster provisioning, credentials, Autopilot vs Standard selection, and workload deployment.

google/skills

Answer natural language questions and perform analysis on GKE cluster and workload costs using BigQuery billing exports, cost allocation data, and live cluster monitoring metrics.

google/skills

Generates and updates secure, production-ready Kubernetes YAML manifests optimized for GKE Autopilot and GKE Standard clusters.

google/skills

Diagnose GKE Cloud TPU multi-slice training hangs (Megascale HANGDETECTED logs and hang monitored events) using the ML Diagnostics Megascale XLA (MXLA) Hang Analyzer (gcloud alpha mldiagnostics…

google/skills

Diagnose GKE Cloud TPU training throughput drops and step-time regressions (15%+ TPU duty-cycle drop) using ML Diagnostics Workload Monitoring (gcloud alpha mldiagnostics monitored-events /…

google/skills

Diagnoses, predicts, and mitigates node disruptions during Compute Engine host maintenance and hardware or software maintenance events for GPU and TPU workloads on GKE.

google/skills

Runs batch and HPC workloads on GKE, utilizing job queues and parallel processing.

google/skills

Deploys and optimizes AI/ML inference workloads on GKE, using GPUs, TPUs, and model servers.

google/skills

Plans and configures multi-tenancy on GKE. An agent skill from google/skills.

google/skills

Diagnoses GKE nodes reporting NotReady or Unknown status by inspecting node conditions, events, kubelet/containerd logs, and node metrics, then proposing safe remediations.

google/skills

Configures GKE observability, including Cloud Logging, Cloud Monitoring, and managed Prometheus.

google/skills

Plans, configures, and hardens platform-level Google Kubernetes Engine (GKE) cluster security.

google/skills

Orchestrates comprehensive production readiness reviews and assessments for GKE clusters and workloads across scalability, security, reliability, observability, backup/DR, and cost optimization.

google/skills

Improves GKE workload reliability, using PDBs, health probes, and topology spread constraints.

google/skills

Manages GKE storage, including PVCs, PersistentVolumes, and Filestore.

google/skills

Configures and diagnoses Workload Identity Federation for GKE authentication failures for Pods (403 "iam.serviceAccounts.getAccessToken" / permission denied, "could not find default credentials", or…

google/skills

Diagnoses GKE HorizontalPodAutoscaler (HPA) failures — metrics showing as <unknown, FailedGetResourceMetric / FailedGetScale / FailedComputeMetricsReplicas events, missing Pod resource requests…

google/skills

Diagnoses GKE workload failures (CrashLoopBackOff, OOMKilled, ImagePullBackOff, Pending, etc.) via logs and events.

google/skills

Discovers requirements, and generates architectural, design, and deployment guidance for a retrieval-augmented generation (RAG)-capable enterprise search system in Google Cloud.

google/skills

Diagnose and mitigate GKE TPU or GPU nodes stuck in NotReady / NodeStatusUnknown ("Kubelet stopped posting node status") due to host kernel panics, hardware lockups, or disabled node auto-repair.

google/skills

Plans, executes, and validates Google Kubernetes Engine (GKE) cluster upgrades and maintenance operations for both Standard and Autopilot clusters.

google/skills

Guides the migration of existing AI workloads (Cloud Run, Gemini API, Gemini Enterprise Agent Platform) to self-hosted GKE inference using gcloud and kubectl.

google/skills