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gpu-usage

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Mis à jour31 mars 2026 à 04:50

Report GPU usage on shared servers — shows which processes occupy each GPU, VRAM percentage, GPU utilization, process owner, elapsed time, and Docker container name. Use this skill when the user asks: "who's using the GPU", "check GPU usage", "is the GPU free", "can I profile", "GPU contention", "VRAM usage", "show GPU processes", "gpu-usage", or any question about GPU availability before profiling.

Installation

Installer avec Codex ou Claude Copiez ce prompt, collez-le dans Codex, Claude ou un autre assistant, puis laissez-le vérifier la page du skill et l'installer pour vous.

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Source

poyenc

poyenc/agent-skills

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Métiers associésSOC

Basé sur la classification professionnelle SOC

Administrateurs de réseaux et de systèmes informatiquesProfessions informatiques et mathématiques·SOC 15-1244

Explorateur de fichiers

2 fichiers

SKILL.md

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name	gpu-usage
description	Report GPU usage on shared servers — shows which processes occupy each GPU, VRAM percentage, GPU utilization, process owner, elapsed time, and Docker container name. Use this skill when the user asks: "who's using the GPU", "check GPU usage", "is the GPU free", "can I profile", "GPU contention", "VRAM usage", "show GPU processes", "gpu-usage", or any question about GPU availability before profiling.
allowed-tools	Bash(python3 * gpu_usage.py *)

GPU Usage Report

Prerequisites

rocm-smi installed and on PATH
Python 3.8+

Workflow

Run the script:

python3 <skill-dir>/scripts/gpu_usage.py --format markdown

Present the output directly — it's a ready-to-display markdown table.

If all GPUs are idle, the script prints "All GPUs are idle."

Use --format json if structured data is needed downstream.

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name	gpu-usage
description	Report GPU usage on shared servers — shows which processes occupy each GPU, VRAM percentage, GPU utilization, process owner, elapsed time, and Docker container name. Use this skill when the user asks: "who's using the GPU", "check GPU usage", "is the GPU free", "can I profile", "GPU contention", "VRAM usage", "show GPU processes", "gpu-usage", or any question about GPU availability before profiling.
allowed-tools	Bash(python3 * gpu_usage.py *)

GPU Usage Report

Prerequisites

rocm-smi installed and on PATH
Python 3.8+

Workflow

Run the script:

python3 <skill-dir>/scripts/gpu_usage.py --format markdown

Present the output directly — it's a ready-to-display markdown table.

If all GPUs are idle, the script prints "All GPUs are idle."

Use --format json if structured data is needed downstream.