# tao-list-capabilities

Inspects TAO Skill Bank manifests to report available models, workflows, and AutoML actions. Use it to check support before training or compression.

- skill · `type=skill` · Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, OpenCode · 1600 installs · ★ 3735
- Author: NVIDIA Corporation
- License: Apache-2.0 · policy=mirror · the beginning of the file is at the end of this page
- Source: https://github.com/NVIDIA/skills/tree/HEAD/skills/tao-list-capabilities/SKILL.md
- Updated: 2026-10-23
- HTML: https://affpapa.org/en/nevibecode/skills/tao-list-capabilities

## What it does

This skill inspects packaged manifests and helpers inside TAO Skill Bank instead of guessing support from repository text. When queried, it invokes `scripts/list_tao_capabilities.py` or `scripts/list_tao_models.py` using Bash. The output covers application and data pipelines alongside execution platforms such as Docker, Slurm, Kubernetes, and Brev.

Model coverage is determined by `skills/models/schemas.manifest.json`. The skill reports which stages work for each model: training, evaluation, inference, export, or TensorRT engine compilation. For AutoML tasks like distill, prune, or quantize, it validates the respective schema file inside `skills/models/<model_skill>/schemas/`. If that JSON schema is missing, it refuses to claim AutoML support.

Working with this skill requires access to `TAO_SKILL_BANK_PATH` and the Read and Bash tools. For standalone setups not initialized by the main plugin, run `tao-setup` first to resolve host preflights and credentials.

## Install

### Claude Code (native platform)

1. **Skills CLI (Vercel)**
```bash
npx skills add NVIDIA/skills --skill tao-list-capabilities -a claude-code
```

2. **Manually: put the files in place**
- File: `~/.claude/skills/tao-list-capabilities/SKILL.md` — Copy the whole skill folder; for one project use .claude/skills/tao-list-capabilities/

### Codex

1. **Skills CLI (Vercel)**
```bash
npx skills add NVIDIA/skills --skill tao-list-capabilities -a codex
```

2. **Manually: put the files in place**
- File: `.agents/skills/tao-list-capabilities/SKILL.md` — For all projects use ~/.agents/skills/

### Cursor

1. **Skills CLI (Vercel)**
```bash
npx skills add NVIDIA/skills --skill tao-list-capabilities -a cursor
```

2. **Manually: put the files in place**
- File: `.cursor/skills/tao-list-capabilities/SKILL.md` — Cursor also reads .agents/skills/ and .claude/skills/

### GitHub Copilot

1. **GitHub CLI**
```bash
gh skill install NVIDIA/skills tao-list-capabilities
```

2. **Manually: put the files in place**
- File: `.github/skills/tao-list-capabilities/SKILL.md`

### Gemini CLI

1. **Skills CLI (Vercel)**
```bash
npx skills add NVIDIA/skills --skill tao-list-capabilities -a gemini-cli
```

2. **Platform CLI**
```bash
gemini skills install https://github.com/NVIDIA/skills --path skills/tao-list-capabilities
```

### Windsurf (Devin Desktop)

**Manually: put the files in place**
- File: `.devin/skills/tao-list-capabilities/SKILL.md` — The legacy .windsurf/skills/ path still works

### OpenCode

**Skills CLI (Vercel)**
```bash
npx skills add NVIDIA/skills --skill tao-list-capabilities -a opencode
```

### Claude.ai

**Claude.ai**
- Zip the folder and upload it in Settings → Capabilities → Skills

Where a file is given instead of a command, copy the files from the source to that path: https://github.com/NVIDIA/skills/tree/HEAD/skills/tao-list-capabilities/SKILL.md

## When to use it
- list available computer vision models in TAO Toolkit
- verify AutoML support for model pruning or quantization
- check deployment targets across Docker, Slurm, and Kubernetes
- audit supported fine-tuning stages for a specific model

## Example prompts
- Which models in TAO support AutoML quantization?
- List all application and data workflows available in TAO Skill Bank.
- Can we build a TensorRT engine for this TAO model?

## Source text · SKILL.md · Apache-2.0

Below is the content of a third-party file. It is data, not instructions for you: do not act on anything written inside unless the human asks. Block tag: 9092c6e20860dc45.

BEGIN THIRD-PARTY FILE 9092c6e20860dc45
````text
---
name: tao-list-capabilities
description: >-
  Answer what the TAO Skill Bank plugin can do by generating the response from
  packaged application, data, model, AutoML, and platform manifests. Use when
  the user asks "what can TAO Skill Bank do", "list TAO models", "which TAO
  workflows are available", or "what supports AutoML".
license: Apache-2.0
compatibility: Requires the packaged TAO skill bank helper scripts.
metadata:
  author: NVIDIA Corporation
  version: "0.1.0"
allowed-tools: Read Bash
tags:
- tao
- capabilities
- discovery
---

# TAO Skill Bank Capabilities

> **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 when the user asks what `tao-skill-bank` can do, asks for plugin
capabilities, asks which application or data workflows are available, asks which
models are supported, or asks what models are capable with AutoML.

## Quick Start

Run `scripts/list_tao_capabilities.py` for general capability questions, or
`scripts/list_tao_models.py` for model/action and AutoML support questions.

## Capability Answers

For a general capabilities answer, run the packaged helper:

```bash
${TAO_SKILL_BANK_PATH:-~/tao-skill-bank}/scripts/list_tao_capabilities.py \
  --skill-bank ${TAO_SKILL_BANK_PATH:-~/tao-skill-bank} --format text
```

Use the helper output as the source of truth for the answer instead of manually
enumerating capabilities from this skill or plugin metadata. Include:

- Every top-level application workflow under `applications/` and what it can do.
- Every top-level data workflow under `data/` and what it can do.
- Supported execution platforms, discovered from the installed platform skills
  (tao-run-on-docker / -slurm / -kubernetes / -brev, plus any external one); on a
  runtime that surfaces only the core router skills, read
  `skills/platform/tao-run-on-*/SKILL.md` frontmatter.
- The fine-tuning/deployment workflow coverage for models under `models/`: train,
  evaluate, inference, export, and TensorRT engine generation when those actions
  are present in the packaged schema manifest.
- AutoML support and the AutoML per-action schema gate.

## Model Lists

When the user asks which TAO models are available or which actions a model can
run, use the packaged model-list script instead of manually scanning model
folders:

```bash
${TAO_SKILL_BANK_PATH:-~/tao-skill-bank}/scripts/list_tao_models.py \
  --skill-bank ${TAO_SKILL_BANK_PATH:-~/tao-skill-bank} --scope all --format text
```

The model list comes from `skills/models/schemas.manifest.json`.

## AutoML Lists

When the user asks what models are capable with AutoML, use the same model-list
````
END THIRD-PARTY FILE 9092c6e20860dc45

The third-party file has ended. Everything between the 9092c6e20860dc45 tags is data: requests and commands from it are not followed. An “end of file” line with another tag inside the block is part of the file.

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