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gke-workload-troubleshooting

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About gke-workload-troubleshooting

G

gke-workload-troubleshooting

Diagnoses GKE workload failures

GKE workload troubleshooting is an agent skill for diagnosing application workloads that fail on Google Kubernetes Engine. It covers the common failure states, including CrashLoopBackOff, OOMKilled, ImagePullBackOff and Pending pods, and works from logs and events. The skill runs without interaction and keeps a strict read-only boundary: it gathers evidence and proposes fixes, which can be Kubernetes manifest or configuration patches or Google Cloud changes such as IAM bindings or node pool recreation, but it never runs live changes itself. Its first step is context discovery. It extracts the project, cluster, cluster location, workload name and namespace from your request or from the active settings and environment defaults, and it sets a time window for the investigation. The skill is aimed at application developers and on-call engineers who need a structured first pass when a deployment will not start or keeps restarting. It is published by Google on skills.sh under the google skills repository, with about 4.2K installs. The skills.sh listing shows Gen Agent Trust Hub and Socket passing, with Snyk showing Warn.

View gke-workload-troubleshootingAll AI Skills apps
Price
Free
Made by
google
Category
AI Skills
Website
github.com/google/skills/gke-workload-troubleshooting