HAMi
Share and debug GPUs across Kubernetes AI clusters
All Skills in This Repository (2)
Pure Emerald Level Indicatorsk8s_gpu_pod_troubleshooter
Diagnose GPU pod scheduling and allocation issues in Kubernetes clusters with HAMi.
k8s_namespace_troubleshooter
Diagnose Kubernetes namespace issues by analyzing quotas, pod states, and event logs.
Frequently Asked Questions
FAQPage SchemaHow to install HAMi skills?โผ
Run `npx skills add Project-HAMi/HAMi --all -g -y` in your terminal to install all skills in this suite globally.
How to debug a pod stuck in Pending on Kubernetes?โผ
The k8s-debug-gpu-pod skill scans events, scheduling failures, quotas, and taints across your namespace and reports the exact root cause with recommended fixes.
How to check GPU usage across a HAMi cluster?โผ
The vGPU metrics skill collects HAMi scheduler metrics and summarizes core and memory allocation per node, GPU, pod, and namespace in a clear report.
Do these skills work with Claude Code and other AI agents?โผ
Yes. All skills follow the standard SKILL.md format and run in Claude Code, Cursor, and other compatible AI coding agents.
Do I need deep Kubernetes expertise to use these skills?โผ
No. You just provide your kubeconfig and namespace, and the agent runs the diagnostic commands and interprets the results for you.
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