Agent skill · nvidia
runai-get-workload-health-summary
Summarizes scoped Run:ai workload health or one workload. Not for root cause, quota, cluster health, fleet utilization, history, or mutations.
What it needs
About 11k tokens when loaded.
What this skill does
Run:ai — Get Workload Health Summary Purpose Survey workload health across a scoped set, or drill into one workload for a five-section snapshot. This skill answers what is happening and which workload deserves attention. It does not explain the root cause of a broken workload; route confirmed failures to the matching runai-diagnose- skill. Read-only: Inspect and report only. Never stop, restart, resubmit, delete, patch, scale, or otherwise mutate workloads, pods, nodes, policies, or quota. When to use "How are my workloads doing?" "List failed workloads in the last 2 hours." "Show idle workloads in finance-prod." "Which workloads are running on node-a-04?" "Multiple workloads failed in 10 minutes. Is this a node issue?" "How is training-job-42?" "Is this workload healthy?" "Something seems off with my run; what is it?" When not to use The user already asks why a known workload failed, crashed, OOM-killed, hit CrashLoopBackOff, image-pull failure, init failure, mount failure, node failure, or policy termination. Use runai-diagnose-failed-workload. The user asks why a workload was preempted. Use runai-diagnose-preempted-workload when available. The user asks why inference is slow, throttled, or missing an SLA target. Use runai-diagnose-inference-latency when available. The user asks for a quota fairness or reclaim analysis. Use runai-audit-assigned-quota. The user asks which teams, projects, or departments are wasting GPU cycles or needs fleet-wide utilization efficiency. Use runai-get-utilization-overview when available; otherwise name the missing utilization workflow and stop. The user asks whether the cluster, scheduler, node fleet, control plane, or overall platform is healthy or stuck. Use runai-get-cluster-health-summary when available; otherwise name the missing cluster-health workflow and stop. The user asks to compare current and historical runs. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills nvidia/runai-get-workload-health-summary