NVIDIA TAO Skill Bank plugin
TAO Skill Bank is NVIDIA's skill set for training, evaluating and running TAO models in Claude Code, Codex and Gemini CLI.
- 100 ★ on the repository
- Last commit
- Apache-2.0
Extended access
Why this level
- Skills run Docker containers and may read keys from the environment (`NGC_KEY`, `HF_TOKEN`, cloud tokens).
Install
- Works in
In your terminal, with SkillFoxx CLI
npx skillfoxx add plugins/nvidia-tao-skill-bankDetects the agents on your machine, shows the access level and pins the version.
Other ways to install
Access and checks
How we reviewExtended accessThe tool runs code or makes network calls and only reads external data.
- Skills run Docker containers and may read keys from the environment (`NGC_KEY`, `HF_TOKEN`, cloud tokens).
This is third-party code. Review the repository files before installing.
What it does
The plugin bundles portable skills following the Agent Skills standard for NVIDIA TAO models: training, evaluation, inference and data preparation. Skills are grouped under `models`, `data`, `platform`, `applications` and `core`, and most local Docker actions need only Docker itself. In Claude Code a `SessionStart` hook loads the agent identity from `AGENTS.md`. For Codex the plugin is installed separately and `AGENTS.md` is copied to `~/.codex/AGENTS.md` by an install script or by hand. Credentials come from session environment variables: `NGC_KEY` for `nvcr.io` images and `HF_TOKEN` for gated Hugging Face models.
Who it is for. Computer vision and machine learning engineers who train and run NVIDIA TAO models through an agent.
Good fit when
- An agent prepares data and starts TAO model training in a container.
- A trained model must be evaluated and results compared.
- Experiments run on a cloud platform such as Brev.
- One set of rules must work in Claude Code and Codex.
Not a fit when
- You do not work with NVIDIA TAO models.
- You have no Docker and no NGC account.
- You need a stable branch, since `main` is the development trunk.
Example request
Prepare a dataset and start TAO model training in a container, then evaluate the result and save metrics.Limitations
The `main` branch is a development trunk rather than a stable branch: install a published tag; the README commands are pinned to release 7.3.0. Builds on `main` may reference internal `nvcr.io/nvstaging/*` images that an external NGC account cannot pull. The plugin does not load `AGENTS.md` into Codex automatically, which is a separate step. Almost every workflow needs `NGC_KEY`. Some workflows install or stage missing images and tools, but only after you approve.
How to disable. In Claude Code remove the plugin with `/plugin uninstall tao-skills@tao-skill-bank`; in Codex remove the plugin and the copied `~/.codex/AGENTS.md`. Clean keys in the environment separately.
FAQ
Which version should I install?
The latest published tag. README commands are pinned to `7.3.0`, and `main` may reference private images.
Which variables are needed?
`NGC_KEY` is needed almost everywhere for `nvcr.io` images, `HF_TOKEN` for gated Hugging Face models. Others depend on the workflow; the README has a table.
How do I connect it to Codex?
The recommended way is the `install-codex-agents.sh` script. It adds the marketplace at the release tag, installs the plugin and copies `AGENTS.md`.
What does the plugin contain?
Skills for models, data, platforms, applications and core helpers. In Claude Code the plugin installs as a whole.
Why is AGENTS.md needed?
It sets the agent identity. In Claude Code a `SessionStart` hook loads it; in Codex the file is copied to `~/.codex/AGENTS.md`.
Discussion
No questions or reviews yet.
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README in short
The README explains the branching strategy and a known image issue, then describes installation for Claude Code and Codex, a credentials section and a question about extra dependencies.