tao-list-capabilities
>-
Works with
0
total installs
0
this week
1.7K
GitHub stars
0
upvotes
Install Skill
Run in your terminal
0
installs
0
this week
1.7K
stars
Installation Guide
How to use tao-list-capabilities on Cursor
AI-first code editor with Composer
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
Run the install command
Execute the skills CLI command in your project's root directory to begin installation:
Fetches tao-list-capabilities from nvidia/skills and configures it for Cursor.
Select Cursor when prompted
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
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.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
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
- 1Install skill using provided installation command
- 2Test with simple use case relevant to your work
- 3Evaluate output quality and relevance
- 4Iterate on prompts to improve results
- 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
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Related Skills
dynamo-router-starter
0nvidia/skills
cuopt-install
0nvidia/skills
holoscan-install-container
0nvidia/skills
jetson-print-bsp-info
0nvidia/skills
jetson-memory-audit
0nvidia/skills
jetson-speculative-decoding
0nvidia/skills
Reviews
- AAditi Mensah★★★★★Dec 28, 2024
tao-list-capabilities fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- NNaina Abbas★★★★★Dec 24, 2024
tao-list-capabilities is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- MMichael Jackson★★★★★Dec 20, 2024
Useful defaults in tao-list-capabilities — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- LLi Martinez★★★★★Dec 12, 2024
I recommend tao-list-capabilities for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- DDhruvi Jain★★★★★Dec 8, 2024
tao-list-capabilities has been reliable in day-to-day use. Documentation quality is above average for community skills.
- OOshnikdeep★★★★★Nov 27, 2024
Solid pick for teams standardizing on skills: tao-list-capabilities is focused, and the summary matches what you get after install.
- NNia Rao★★★★★Nov 19, 2024
I recommend tao-list-capabilities for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- LLuis Flores★★★★★Nov 7, 2024
tao-list-capabilities is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- NNaina Rahman★★★★★Nov 3, 2024
tao-list-capabilities fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- TTariq Zhang★★★★★Oct 26, 2024
Useful defaults in tao-list-capabilities — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
showing 1-10 of 55
Discussion
Comments — not star reviews- No comments yet — start the thread.