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Commits, branches and sync with the but CLI
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- Claude Code
- Codex
- Cursor
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Use this resource to diagnose a throughput or duty cycle drop in TPU training on GKE
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Free
In a terminal, from the folder you want:
npx --yes palatekit@latest install tpu-training-slowdown-diagnosisWith no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.
First time: connect the CLI with
npx --yes palatekit@latest loginThe agent queries ML runs and monitored events, then correlates the drop with one-minute system metrics and node topology. It routes the diagnosis to workload bottlenecks, such as HBM capacity or host CPU, or to infrastructure throttling. You get the likely cause and the next checks.
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Updated November 2, 2026
You say
“My TPU training duty cycle dropped 20% this week: find out whether the workload or the infrastructure is the cause.”

Skill published by google under the Apache-2.0 license, delivered in its original version.
Listed unmodified
« gke-ai-troubleshooting-tpu-performance-degradation » (google, Apache-2.0) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.
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