gke-ai-troubleshooting-tpu-metrics-monitoring
De la autor
Monitors and troubleshoots GKE TPU workloads, nodes, and node pools using GKE system metrics and PromQL. Use when monitoring TensorCore duty cycle, TPU memory, node readiness, multi-host TPU node pool availability, host maintenance or preemption interruptions, and calculating MTTR or MTBI metrics for GKE TPUs. Don't use for general non-TPU GKE workload monitoring or non-metric TPU debugging.
Instalare
npx skills add google/skills --skill gke-ai-troubleshooting-tpu-metrics-monitoring -a claude-code
Se instalează în .claude/skills/gke-ai-troubleshooting-tpu-metrics-monitoring/ · Fiecare comandă descarcă skill-ul direct de pe GitHub cu utilitarul open source skills.
Descarcă .zip
Identic octet cu octet cu commit-ul scanat, cu licența depozitului și un fișier SOURCE.txt.
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Verificări de siguranță pe SKILL.md
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De ce 89
Securitate85
Proveniență100
Întreținere100
Licență100
Adopție67
aiqbench calculează scorul de încredere din semnale publice. Nu este un audit de securitate, așa că citește un skill înainte să-l instalezi.
Skill-uri similare
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