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Find zombie processes holding GPU VRAM on lab servers (dead notebook kernels, orphaned trainers) and propose kill commands. Report-only. Use when GPUs look occupied but idle, or for "who is using GPU N".
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
Find what's eating disk on full lab servers — old checkpoints, wandb and cache junk — and produce a deletion plan. Report-only; deletion needs per-path human approval. Use when a disk is full or the user asks to free space.
Compare experiment results across servers — differing hyperparameters and final metrics from local wandb data, with dashboard links. Use for "which ablation won" or comparing runs of a project.
Morning briefing across all lab servers — what finished or crashed overnight, which GPUs are free, which disks are filling up. Use when the user asks for a briefing, "what happened overnight", or overall lab/server status.
Launch a training run on the best lab server — picks a host by data locality and free GPUs, verifies code and environment, starts it in a detached tmux session. Use when the user wants to run, launch, or train something on the servers.
Reproduce a working project environment from one lab server on another — code at the same commit, a CUDA-compatible python env, and a smoke test. Use for "make this run on host B too" or setting up a new server.
Check on the user's running experiments across all servers — progress, loss, ETA, stalled or crashed. Use for "how are my runs", "is training still going", or checking a specific experiment.
| name | zombie-hunt |
| description | Find zombie processes holding GPU VRAM on lab servers (dead notebook kernels, orphaned trainers) and propose kill commands. Report-only. Use when GPUs look occupied but idle, or for "who is using GPU N". |
Goal: explain every GPU whose memory is held, and flag holders that are probably dead weight. You never send a signal yourself.
list_hosts → hosts where GPUs are inUse. For each, via run_command:
Map memory to processes:
nvidia-smi --query-compute-apps=gpu_uuid,pid,process_name,used_memory --format=csv,noheader
nvidia-smi --query-gpu=index,uuid --format=csv,noheader
Inspect each PID:
ps -o pid,ppid,user,etime,stat,%cpu,cmd -p <pid1>,<pid2>,...
Zombie heuristics — call it a zombie only on 2+ signals (or 1 signal plus user confirmation):
T (stopped) or defunctOwnership matters. The user's own PIDs → provide kill <pid> (then
kill -9 as fallback) for the USER to run. Other users' PIDs → never
suggest killing; report "GPU 2 held by 's idle kernel (14h, 0% cpu) —
ping them".
Table: host · GPU · PID · owner · age · cmd (trimmed) · verdict (active / probably zombie / unknown) · suggested action. Include how much VRAM each verdict would free.