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Demo skill from probing-acme vendor package. Use to verify pip-installed extension discovery (skills + magics).
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
NCCL proxy wait decomposition — culprit (send_gpu_wait) vs victim (recv_wait)
One-shot health check: CPU, GPU, tables, torch step progress, TorchProbe overhead, cluster nodes, NCCL profiler health
SRE first-response triage for distributed training incidents. Automates the manual checks from PyTorch/NCCL debugging runbooks.
Diagnose PyTorch NCCL watchdog timeouts with Flight Recorder collective sequence alignment.
GPU memory and utilization headroom
Detect monotonic GPU memory growth across training steps
| name | acme_health |
| description | Demo skill from probing-acme vendor package. Use to verify pip-installed extension discovery (skills + magics). |
| category | triage |
Installed via pip install probing-acme. If this skill appears in
probing skill list, vendor extension discovery works.
