gke-tpu-dynamic-slices-monitoring

Monitors, troubleshoots, and manages GKE TPU Dynamic Slices custom resources. Use when checking TPU slice lifecycle states, troubleshooting slice provisioning failures, validating single-slice or multi-slice (JobSet) workload manifests, or safely patching stuck finalizers and disabling the slice controller. Don't use for generic GKE cluster node pool creation or standard non-TPU workload management (use gke-basics or gke-cluster-creation instead).

v1.0.0New

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Run this command in your terminal. No account required — it auto-detects your AI tool and installs the skill file.

npx @skills-hub-ai/cli install google-cloud-skills-gke-tpu-dynamic-slices-monitoring

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Claude Code

~/.claude/skills/<skill>/SKILL.md

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Run in your project root

npx @skills-hub-ai/cli install google-cloud-skills-gke-tpu-dynamic-slices-monitoring --target claude-code

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Frequently asked questions about gke-tpu-dynamic-slices-monitoring

What does the gke-tpu-dynamic-slices-monitoring skill do?

How do I install the gke-tpu-dynamic-slices-monitoring skill?

Run `npx @skills-hub-ai/cli install google-cloud-skills-gke-tpu-dynamic-slices-monitoring` 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-tpu-dynamic-slices-monitoring/ 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-tpu-dynamic-slices-monitoring work with?

gke-tpu-dynamic-slices-monitoring 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-tpu-dynamic-slices-monitoring 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-tpu-dynamic-slices-monitoring after installing it?

In Claude Code, type `/google-cloud-skills-gke-tpu-dynamic-slices-monitoring` (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-tpu-dynamic-slices-monitoring 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.