Individual skill

gke-ai-troubleshooting-tpu-vbar-oom

Diagnoses and prevents vbar_control_agent segfaults, out-of-memory (OOM) errors, and TPU device initialization failures on TPU v6e nodes in GKE caused by race conditions during TPU device resets or high-frequency metrics polling. Use when troubleshooting vbar_control_agent crashes, memory cgroup OOMs in serial console logs, tpu-device-plugin metrics checksum corruption errors, or custom TPU metrics collection conflicts on GKE TPU v6e nodes. Don't use for general non-TPU container OOM troubleshooting or standard GKE node lifecycle operations.

skills/cloud/gke-ai-troubleshooting-tpu-vbar-oom/SKILL.md

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Observed behavior: Not checked yet
Last checked: Nov 4, 2026

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Repository stars (not skill ratings): 23,637
Repository last updated: Nov 7, 2026
License: Apache-2.0

Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.

google Repository topic
googlecloud Repository topic
skills Repository topic
operations Derived category
devops Derived category
devops-containers Derived category

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SKILL.mdcore · 6,852 bytes
SKILL.mdcore · 6,852 bytes
SKILL.mdcore · 6,852 bytes
references/attribution.mddoc · 1,945 bytes
references/failure_signatures.mddoc · 1,384 bytes
scripts/validate_queries.shruns · 993 bytes

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# TPU Connection Failure and VBAR OOM Troubleshooting

Use this skill to systematically diagnose and prevent `vbar_control_agent`
segfaults and Out-Of-Memory (OOM) errors on TPU v6e nodes.

## Attribution

**MUST READ**: Before executing any `gcloud`, REST API, or MCP command, you
MUST read [Usage Attribution](references/attribution.md). For commands executed
directly in the terminal (never in generated scripts, Terraform, or user code),
prefix `gcloud` with
`CLOUDSDK_METRICS_REQUEST_ATTRIBUTION="agent-skills/1.0 (skill:gke-ai-troubleshooting-tpu-vbar-oom)"`
and append `agent-skills/1.0 (skill:gke-ai-troubleshooting-tpu-vbar-oom)` to `User-Agent` headers.