gke-ai-troubleshooting-tpu-reservation-stockout

Diagnose and resolve cluster-wide GKE TPU node pool creation or scale-up failures caused by Compute Engine reservation stockouts (GCE_STOCKOUT, ZONE_RESOURCE_POOL_EXHAUSTED) when existing unhealthy or NotReady TPU node pools in the cluster have node auto-repair disabled and hold reserved TPU capacity. Use when TPU node pool creation or scale-up fails with GCE_STOCKOUT, ZONE_RESOURCE_POOL_EXHAUSTED, or ZONE_RESOURCE_POOL_EXHAUSTED_WITH_DETAILS despite having a specific Compute Engine TPU reservation. Don't use for general pod scheduling without a TPU reservation or workload-level container crashes.

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npx @skills-hub-ai/cli install google-cloud-skills-gke-ai-troubleshooting-tpu-reservation-stockout --target claude-code

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Frequently asked questions about gke-ai-troubleshooting-tpu-reservation-stockout

What does the gke-ai-troubleshooting-tpu-reservation-stockout skill do?

How do I install the gke-ai-troubleshooting-tpu-reservation-stockout skill?

Run `npx @skills-hub-ai/cli install google-cloud-skills-gke-ai-troubleshooting-tpu-reservation-stockout` 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-reservation-stockout/ 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-reservation-stockout work with?

gke-ai-troubleshooting-tpu-reservation-stockout 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-reservation-stockout 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-reservation-stockout after installing it?

In Claude Code, type `/google-cloud-skills-gke-ai-troubleshooting-tpu-reservation-stockout` (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-reservation-stockout 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.