Agent skill · NVIDIA
tao-launch-workflow
Shared launch intake for any TAO workflow or action. Use when the user wants to run TAO AutoML, train, evaluate, infer, export, generate TensorRT engines, or launch DEFT/workflow jobs on an execution platform.
What it needs
About 10k tokens when loaded.
What this skill does
TAO Workflow Launch Intake 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). Use this skill before launching any TAO workflow or model action. Quick Start Run the platform helper, ask for platform and monitoring preferences, then run the selected platform detail helper before asking for credentials. Non-Negotiable Launch Gate This gate is model-agnostic. Apply it to every TAO model, data action, and application workflow before launching side-effecting work. Do not create runner scripts, launch scripts, compatibility shims, workspace folders, state files, logs, or dependency-install side effects until the launch preflight passes. Preflight passes only after all of these are true: 1. The execution platform is selected from the packaged platform helper. 2. Platform credentials and required credential groups are satisfied. 3. Model-specific credentials are satisfied. 4. The default container image is resolved from packaged model/action metadata, shown to the user, and either confirmed or replaced by an explicit image=<override>. 5. The platform access check succeeds from the launch host. 6. Dataset inputs are mapped to concrete spec keys and verified from the selected platform's point of view. 7. Required compute shape fields from the model/workflow skill are known. 8. Required local tools for the selected data/platform path are present, or the user approved installing the smallest missing dependency and preflight was rerun. 9. A launch review with image, platform, datasets, compute shape, expected runtime, and any generated/default configuration changes has been shown and confirmed by the user. For AutoML, the launch review must explicitly state recommendation count/budget, max concurrency, algorithm, metric, direction, and searched parameters/ranges even when defaults are used. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills NVIDIA/tao-launch-workflow