Agent skill · Data & Analytics

tao-run-on-slurm

Remote SLURM GPU cluster execution over SSH with sbatch/srun, Pyxis/Enroot containers, and Lustre-backed results. Use when running TAO training/eval/inference jobs on an on-prem or DGX SLURM cluster. Trigger phrases include "run on SLURM", "submit sbatch", "DGX SLURM cluster", "Pyxis/Enroot container", "Lustre dataset".

NVIDIAgithub.com/NVIDIAGitHub ↗
claude-codecodexcan modify filesApache-2.0
Install
npx skills add NVIDIA/skills --skill tao-run-on-slurm --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 11
SKILL.md size: 10 KB
Bundled scripts: none
Version: 0.1.0
Declared author: NVIDIA Corporation
Allowed tools: ReadBash
Requires: Requires SSH access to a SLURM login node (passwordless via key auth) and SLURM_USER + SLURM_HOSTNAME env vars. The TAO…
Path: skills/tao-run-on-slurm/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 2,789
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# SLURM Remote GPU compute platform for clusters managed by SLURM. Jobs are submitted from the TAO service or SDK host to a login node over SSH, staged on a shared filesystem, submitted with `sbatch`, and executed with `srun` container support. ## When to use Use SLURM when the user has access to a managed GPU cluster, shared Lustre storage, and scheduler-owned GPU allocation. Do not use SLURM for

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About this skill
What does the tao-run-on-slurm skill do?

Remote SLURM GPU cluster execution over SSH with sbatch/srun, Pyxis/Enroot containers, and Lustre-backed results. Use when running TAO training/eval/inference jobs on an on-prem or DGX SLURM cluster. Trigger phrases include "run on SLURM", "submit sbatch", "DGX SLURM cluster", "Pyxis/Enroot container", "Lustre dataset".

How do I install it?

Run `npx skills add NVIDIA/skills --skill tao-run-on-slurm --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From NVIDIA/skills, a repository with 2,789 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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