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Ejecuta cualquier Skill en Manus con un clic

gpu-usage

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Actualizado31 de marzo de 2026 a las 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.

Instalación

Instalar con Codex o Claude Copia este prompt, pégalo en Codex, Claude u otro asistente, y deja que revise la página de la skill y la instale por ti.

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Fuente

poyenc

poyenc/agent-skills

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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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Launch and manage a multi-agent team for HIP/GPU kernel development, debugging, and optimization. Configurable roles (Lead, Implementer, Profiler, Researcher) with optional recall-plugin integration and long-running context rotation. Use this skill whenever the user wants to: start a kernel optimization team, launch agents to work on a HIP kernel, create a dev team for GPU kernel work, set up a multi-agent workflow for kernel performance tuning, or resume a previously saved team config. Also trigger when the user says things like "start a team to optimize kernel X", "launch agents for my HIP kernel", "hip-kernel-team load", "resume my kernel team", or "set up a dev team for this GPU kernel".

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List open pull requests from ROCm/rocm-libraries that are labeled "project: composablekernel" and focused on fused multi-head attention (FMHA) — including kernel code, tests, and CI/infrastructure. Use this skill whenever the user asks about open FMHA PRs, CK attention PRs, composable kernel flash attention pull requests, FMHA test PRs, FMHA CI changes, or wants to see what FMHA-related work is in progress on the rocm-libraries repo. Also trigger when the user asks things like "what PRs touch the attention kernel", "show me open CK FMHA changes", "list MHA pull requests", "what's being worked on for flash attention in CK", "FMHA test PRs", or "FMHA CI changes". Pass `--full-scan` to ignore saved state and re-scan all PRs from scratch.

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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.