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Execute qualquer Skill no Manus com um clique

gpu-usage

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Atualizado31 de março de 2026 às 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.

Instalação

Instalar com Codex ou Claude Copie este prompt, cole no Codex, Claude ou outro assistente e deixe que ele revise a página da skill e instale para você.

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Fonte

poyenc

poyenc/agent-skills

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Ocupações relacionadasSOC

Baseado na classificação ocupacional SOC

Administradores de redes e sistemas de computadorInformática e Matemática·SOC 15-1244

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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.