Agent skill · DevOps & Cloud

tao-run-on-local-docker

Local or remote Docker execution for TAO SDK job containers using a Docker daemon with NVIDIA GPU runtime. Use when running TAO jobs on the current machine, a directly attached Docker host, or a remote GPU box exposed through DOCKER_HOST. Trigger phrases include "run locally", "local Docker", "remote Docker", "use my GPU", "run on my machine", "host Docker daemon".

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

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

Facts
Files in the skill folder: 6
SKILL.md size: 12 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. The TAO SDK with the…
Path: skills/tao-run-on-local-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

# Local Docker Single-node execution platform that runs TAO jobs as named Docker containers on a Docker daemon. The daemon can be local to the agent host or remote through `DOCKER_HOST=ssh://user@host` / a Docker context. It is useful for development, debugging, small runs, and workflows where a local coding agent submits jobs to a remote GPU box. Use local Docker when the data is local to the Doc

More from skills
All skills →
accelerated-computing-cudfOfficial NVIDIA-authored guidance for NVIDIA cuDF GPU DataFrames, pandas acceleration, dask-cuDF…Data & Analyticsamc-run-sample-calibrationRun end-to-end calibration on the shipped sample dataset (sdg_08_2_sample_data_010926.zip) against…Testing & QAphysical-ai-video-data-augmentationUse when running video data augmentation and auto-labeling workflows on OSMO: flow selection…Data & Analyticstao-run-deft-aoiRun the full DEFT AOI improvement loop for NVIDIA TAO VisualChangeNet / ChangeNet PCB inspection…AI & Agentsaiq-researchUse when asked to run deep research or AI-Q research through a reachable NVIDIA AI-Q Blueprint…Backend & APIamc-run-video-calibrationCalibrate a new dataset from pre-recorded video files via the AutoMagicCalib REST API. Use when…Data & Analytics
About this skill
What does the tao-run-on-local-docker skill do?

Local or remote Docker execution for TAO SDK job containers using a Docker daemon with NVIDIA GPU runtime. Use when running TAO jobs on the current machine, a directly attached Docker host, or a remote GPU box exposed through DOCKER_HOST. Trigger phrases include "run locally", "local Docker", "remote Docker", "use my GPU", "run on my machine", "host Docker daemon".

How do I install it?

Run `npx skills add NVIDIA/skills --skill tao-run-on-local-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
All skills →
The full catalog, by category and by tool.
Open Source Radar →
The repositories these skills come from, watched daily.
The people behind them →
Makers and builders across the ecosystem.