tao✦ Official

tao-list-capabilities

>-

nvidia/skillsUpdated Jun 23, 2026

Works with

Claude CodeCursorClineWindsurfCodexGooseGitHub CopilotZed

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Install Skill

Run in your terminal

$npx skills install nvidia/skills/tao-list-capabilities

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installs

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this week

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stars

Installation Guide

How to use tao-list-capabilities on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your machine
  • Node.js 16+ with npm — verify with node --version
  • Active project directory where you want to add tao-list-capabilities
2

Run the install command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills install nvidia/skills/tao-list-capabilities

Fetches tao-list-capabilities from nvidia/skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI shows a list of agents. Use arrow keys and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ────────────────
│ · Cline · Codex · Goose · Windsurf
│ ●Cursor(selected)
│ · Cursor · Aider · Continue
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/tao-list-capabilities

Restart Cursor to activate tao-list-capabilities. Access via /tao-list-capabilities in your agent's command palette.

Security Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.

Documentation

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

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-skills-external}/scripts/list_tao_capabilities.py \
  --skill-bank ${TAO_SKILL_BANK_PATH:-~/tao-skills-external} --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 from scripts/list_tao_platforms.py.
  • 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 train-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-skills-external}/scripts/list_tao_models.py \
  --skill-bank ${TAO_SKILL_BANK_PATH:-~/tao-skills-external} --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-skills-external}/scripts/list_tao_models.py \
  --skill-bank ${TAO_SKILL_BANK_PATH:-~/tao-skills-external} --scope automl --format text
${TAO_SKILL_BANK_PATH:-~/tao-skills-external}/scripts/list_automl_support.py \
  --skill-bank ${TAO_SKILL_BANK_PATH:-~/tao-skills-external} --format text

AutoML support requires skills/models/<network>/schemas/train.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 as AutoML-supported.

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Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Steps

  1. 1Install skill using provided installation command
  2. 2Test with simple use case relevant to your work
  3. 3Evaluate output quality and relevance
  4. 4Iterate on prompts to improve results
  5. 5Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use when

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid when

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Related Skills

Reviews

4.755 reviews
  • A
    Aditi MensahDec 28, 2024

    tao-list-capabilities fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • N
    Naina AbbasDec 24, 2024

    tao-list-capabilities is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • M
    Michael JacksonDec 20, 2024

    Useful defaults in tao-list-capabilities — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • L
    Li MartinezDec 12, 2024

    I recommend tao-list-capabilities for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • D
    Dhruvi JainDec 8, 2024

    tao-list-capabilities has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • O
    OshnikdeepNov 27, 2024

    Solid pick for teams standardizing on skills: tao-list-capabilities is focused, and the summary matches what you get after install.

  • N
    Nia RaoNov 19, 2024

    I recommend tao-list-capabilities for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • L
    Luis FloresNov 7, 2024

    tao-list-capabilities is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • N
    Naina RahmanNov 3, 2024

    tao-list-capabilities fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • T
    Tariq ZhangOct 26, 2024

    Useful defaults in tao-list-capabilities — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

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