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Tao List Capabilities

NVIDIAOfficialCreated by NVIDIA Corporation

  • Skill
  • Tool integration
  • Data and AI
  • Apache-2.0
  • Medium risk
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From the author

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".
— the description by NVIDIA Corporation

AutoGineer summary

Written by AutoGineer from the skill’s own files, not by the author

The tao-list-capabilities skill provides a standardized method for querying the contents and features of the TAO Skill Bank. By leveraging packaged manifests and helper scripts, it allows users to programmatically discover supported models, available data and application workflows, execution platforms, and AutoML support. It ensures that information provided to the user is accurate and derived directly from the current environment's configuration rather than static documentation.

What it does

  • Lists all available application and data workflows within the TAO Skill Bank.
  • Identifies supported models and their specific action capabilities like training, evaluation, and inference.
  • Reports on AutoML support for specific models and compression actions.
  • Discovers and lists compatible execution platforms.
  • Uses internal manifests to ensure accurate reporting of model and action schemas.

When to use it

  • When a user asks for a general overview of what the TAO Skill Bank can do.
  • When a user needs to know which specific AI models are available for use.
  • When a user wants to verify if a specific model supports AutoML or compression actions.
  • When a user asks about available workflows for data processing or application development.

Advantages

  • Provides a single source of truth by reading directly from packaged manifests.
  • Reduces manual effort in scanning directories or documentation for capability discovery.
  • Ensures compatibility with the current environment's installed skills.
  • Supports granular queries for specific actions like pruning, distillation, or quantization.

Usage examples

“What can the TAO Skill Bank do?”
The agent executes the capability script to return a comprehensive list of available application workflows, data processing tasks, and supported execution platforms.
“Which TAO models support AutoML?”
The agent runs the AutoML support script to filter and display only those models that have valid AutoML schema definitions.

Install

  1. Download the skill as a ZIP:

    https://mp-staging.autogineer.com/agent-skills/nvidia/tao-list-capabilities/download

  2. Unzip it into the cross-client skills folder of your project:

    mkdir -p .agents/skills && unzip tao-list-capabilities.zip -d .agents/skills

Documentation by NVIDIA Corporation

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:

${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:

${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 script in AutoML mode, or the compatibility wrapper:

${TAO_SKILL_BANK_PATH:-~/tao-skill-bank}/scripts/list_tao_models.py \
  --skill-bank ${TAO_SKILL_BANK_PATH:-~/tao-skill-bank} --scope automl --format text
${TAO_SKILL_BANK_PATH:-~/tao-skill-bank}/scripts/list_automl_support.py \
  --skill-bank ${TAO_SKILL_BANK_PATH:-~/tao-skill-bank} --format text

Use --action distill, --action prune, or --action quantize when the user asks about a specific compression action.

AutoML support for an action requires skills/models/<model_skill>/schemas/<action>.schema.json to be packaged with the plugin and parse successfully as JSON. If that dataclass schema is missing or invalid, do not describe the model/action as AutoML-supported.

Files

config/skillspector-baseline.yaml

version: 2
# Reviewed false positives — NVIDIA/nvskills-ci#67. No content removed.
rules:
  - id: "AE*"
    path: "*"
    reason: "Reviewed FP: SkillSpector 2.11.0 (SkillEvaluator 1.5.4+) introduced hard runtime budgets (MAX_WORKFLOW_SECONDS=60) that cannot be raised externally; large skills are only partially inspected and the partial read is reported as evasion. Upstream: nvcarps-ci!252. Artifacts are present, small and plain-text; nothing is hidden from analysis."
  - id: "skillspector_execution_failure"
    path: "*"
    reason: "Reviewed FP: scan aborts via the same 2.11.0 runtime budget and on reference_resolution of slash-containing prose and template paths (PASS/NO_PASS, schemas/<action>.schema.json, nvcr.io image URIs, frontmatter version strings). Not a property of the skill content. Upstream: nvcarps-ci!252."

Requirements and compatibility

Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta

“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.

Needs: Declares allowed tools

The author says: Requires the packaged TAO skill bank helper scripts.

Security

What our scanner noticed· Medium risk

  • Large base64-encoded blobs

A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.

Attribution and licence

Created by
NVIDIA Corporation
Publisher
NVIDIA (Official)
Source
NVIDIA/skills · skills/tao-list-capabilities · commit fce3cca
Licence
Apache License 2.0 (redistribution allowed)
  • LICENSE (added by AutoGineer from LICENSE-APACHE)
  • ATTRIBUTION.md (written by AutoGineer)
Synced

AutoGineer is not affiliated with or endorsed by NVIDIA Corporation or NVIDIA.

Download ZIP

The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download tao-list-capabilities.zip