gke-ai-troubleshooting-tpu-performance-degradation

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` / `hypercomputecluster.googleapis.com/v1alpha`) and 1-minute Cloud Monitoring system metrics (`kubernetes.io/node/accelerator/*`). Distinguishes hardware and network fabric throttling from workload resource bottlenecks (HBM capacity, host memory, or host CPU saturation). Use when TPU training throughput or duty cycle drops without crashing pods, when `PERFORMANCE_DEGRADATION` monitored events fire, or when triaging slow multi-slice training steps. Don't use for complete multi-slice XLA execution stalls with `HANG_DETECTED` logs (use gke-ai-troubleshooting-tpu-mxla-hang) or pod eviction/interruption restarts (use gke-ai-troubleshooting-jobset-interruption).

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Frequently asked questions about gke-ai-troubleshooting-tpu-performance-degradation

What does the gke-ai-troubleshooting-tpu-performance-degradation skill do?

How do I install the gke-ai-troubleshooting-tpu-performance-degradation skill?

Run `npx @skills-hub-ai/cli install google-cloud-skills-gke-ai-troubleshooting-tpu-performance-degradation` from your terminal. The CLI writes the SKILL.md to the correct location for your AI tool (e.g. ~/.claude/skills/google-cloud-skills-gke-ai-troubleshooting-tpu-performance-degradation/ for Claude Code or ~/.cursor/skills/ for Cursor with --target cursor) and adds it to your project's .skills.json lockfile.

Which AI tools does gke-ai-troubleshooting-tpu-performance-degradation work with?

gke-ai-troubleshooting-tpu-performance-degradation runs in Claude Code. It follows the open Agent Skills standard (SKILL.md), so the same skill works in every supported tool without modification.

Is the gke-ai-troubleshooting-tpu-performance-degradation skill free?

Yes. Every skill on skills-hub.ai is free and open-source. There are no premium tiers, paywalls, or usage limits. You only pay for whatever AI assistant you're already using.

How do I use gke-ai-troubleshooting-tpu-performance-degradation after installing it?

In Claude Code, type `/google-cloud-skills-gke-ai-troubleshooting-tpu-performance-degradation` (or whatever slash command the skill registers) and the AI follows the skill's instructions immediately. You can also reference it by name in natural language, your AI loads the skill into context when relevant.

Can I share the gke-ai-troubleshooting-tpu-performance-degradation skill with my team?

Yes. Commit your project's .skills.json lockfile and teammates run `npx @skills-hub-ai/cli install` (no args) to install every skill at the exact version you pinned. Organization-scoped installs work via skills-hub.ai organizations.