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cluster-pod-workflows【开发与工程】Operate AIMET cluster and Pod workflows for GPU development, source builds, GenAILab runs, sync, exec, and cleanup.
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Use this sub-skill when the user asks to launch or reuse AIMET GPU pods, sync an AIMET checkout to a cluster workspace, run GenAILab or source builds on a pod, pass resource requests, reconnect, list/stop workflows, or troubleshoot Argo/Kubernetes credentials.
argo, kubectl, rsync or tar, jq, and kubectl auth whoami in the chosen namespace./scratch/<repo-name> or a specified remote directory while excluding .git, build outputs, virtualenvs, and GenAILab artifacts.Cluster operations can mutate remote state and consume GPU quota. Do not launch, terminate, or delete pods unless the user asked for that operation. Do not paste tokens into generated logs. If the task asks for a pod but credentials are missing, report the exact missing credential/tool and the command that failed.
For pod tasks, include namespace, template/image, resource request, local and remote directory, command to run, expected completion signal, how to reconnect, and cleanup command.