Agent skill · DevOps & Cloud

tao-run-on-docker

Docker conventions for running NVIDIA GPU container workloads — NGC authentication, --gpus flag, mount patterns, env-var passthrough, container inspection, data-root relocation for split-disk hosts, and common error modes. Use when another skill requires running an nvcr.io container or any docker run command on a GPU host. Trigger keywords — docker, docker run, nvcr.io, NGC, --gpus, nvidia-container-toolkit, container image, docker login, docker pull.

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

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

Facts
Files in the skill folder: 5
SKILL.md size: 9 KB
Bundled scripts: none
Version: 0.1.0
Declared author: NVIDIA Corporation
Allowed tools: ReadBash
Requires: Requires NVIDIA driver branch 580, CUDA Toolkit 13.0, Docker, and NVIDIA Container Toolkit 1.19.0.
Path: skills/tao-run-on-docker/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

# Docker for NVIDIA GPU Workloads This skill documents the generic Docker conventions that GPU container workloads rely on. Model and data skills specify **what** image and **what** command to run; this skill covers **how** to run docker in a way that satisfies GPU + NVIDIA container requirements. Sources: official Docker CLI reference (<https://docs.docker.com/reference/cli/docker/>) and NVIDIA C

More from skills
All skills →
About this skill
What does the tao-run-on-docker skill do?

Docker conventions for running NVIDIA GPU container workloads — NGC authentication, --gpus flag, mount patterns, env-var passthrough, container inspection, data-root relocation for split-disk hosts, and common error modes. Use when another skill requires running an nvcr.io container or any docker run command on a GPU host. Trigger keywords — docker, docker run, nvcr.io, NGC, --gpus, nvidia-container-toolkit, container image, docker login, docker pull.

How do I install it?

Run `npx skills add NVIDIA/skills --skill tao-run-on-docker --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.

Keep going