Project-HAMiProject-HAMiOfficialยท2 Agent Skills Included

HAMi

Share and debug GPUs across Kubernetes AI clusters

Diagnoses stuck, crashing, and image-pull-failing pods in Kubernetes GPU clusters and summarizes HAMi vGPU allocation metrics. Eliminates manual kubectl digging by automatically scanning events, logs, quotas, and Prometheus metrics to find root causes. Produces structured reports on GPU sharing, memory usage, and namespace consumption so teams fix issues and rebalance clusters faster.
npx skills add Project-HAMi/HAMi --all -g -y
Available:

Explains the HAMi architecture, build commands, and coding conventions so the AI agent can navigate and work on this GPU virtualization codebase correctly.

All Skills in This Repository (2)

Pure Emerald Level Indicators

Frequently Asked Questions

FAQPage Schema
How to install HAMi skills?โ–ผ

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?โ–ผ

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?โ–ผ

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?โ–ผ

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?โ–ผ

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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