tao-list-capabilities
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".
By nvidia · 1,571 installs
npx skills add nvidia/skills --skill tao-list-capabilities
Source repository · Upstream listing
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:
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 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:
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:
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.