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Xia-AtaraxiaXia-Ataraxia/craft-skills/skills/gpu/SKILL.md

gpu

Skill0 starsChanged 4 months agoNo licenceView on GitHub

Applies GPU environment and resource discipline — probe the hardware before choosing any install, budget the host before launching any job — to CUDA/PyTorch setup, attention-backend builds, and GPU job launches. Use when setting up CUDA or PyTorch on a new GPU machine, asked to "install flash attention", debugging "torch.cuda.is_available() returns False", "CUDA out of memory", or "no kernel image is available", sizing VRAM, running a training/inference job on a shared GPU host or HPC, or working on Apple Silicon (MPS, M-series). Not for training methodology, datasets, or evaluation discipline — use `ml` — and not for serving a model behind an API — use `principle-backend`.

We split this skill into the rules it gives an agent

2 rules. About 0 are common, 1 is distinctive, and 1 is very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈1

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.

≈ “Common” is an estimate: at least 1 in 5 of the 308,232 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

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