Agent skill · NVIDIA
tao-run-on-local-docker
Local or remote Docker execution for TAO SDK job containers using a Docker daemon with NVIDIA GPU runtime. Use
What it needs
About 11k tokens when loaded.
What this skill does
Local Docker Standalone install? If this session was not initialized by the TAO skill bank plugin, run the tao-setup skill first (host preflight, credentials, cross-skill discovery). 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 DOCKERHOST=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 Docker host or accessible through mounted volumes/cloud credentials. Do not use it for remote cluster scheduling, multi-node training, or jobs that need SLURM queueing. Use remote Docker when the agent is running on a workstation or laptop but the Docker daemon and GPUs are on another single GPU server. In remote Docker mode, all local filesystem paths in specs are interpreted on the remote Docker host, not on the agent machine. Preflight The workflow must verify the host GPU runtime before starting Docker jobs. If the check fails, prompt the user to approve the install, run the printed install command, and rerun the preflight. If a check fails, the agent prompts the user to authorize the install/fix via Bash before proceeding. Pip-installable Python requirements and Docker network creation above are exceptions: install/create them automatically, then rerun preflight. Credentials There are no platform credentials required beyond access to the Docker daemon. Optional environment: DOCKERHOST: Optional Docker daemon URL. If unset, the SDK uses the Docker Python client's normal environment/default socket resolution. Required for the remote-docker platform option. DOCKERNETWORK: Docker network for job containers. Default is taodefault. DOCKERUSERNAME: Registry username. Default is $oauthtoken for NGC. NGCKEY: Used when pulling private images from nvcr.io. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills NVIDIA/tao-run-on-local-docker