Install
openclaw skills install skills-sh:nvidia/skills/tao-list-capabilitiesTAO 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…
openclaw skills install skills-sh:nvidia/skills/tao-list-capabilitiesStandalone install? If this session was not initialized by the TAO skill bank plugin, run the
tao-setupskill 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.
Run scripts/list_tao_capabilities.py for general capability questions, or
scripts/list_tao_models.py for model/action and AutoML support questions.
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:
applications/ and what it can do.data/ and what it can do.scripts/list_tao_platforms.py.models/: train,
evaluate, inference, export, and TensorRT engine generation when those actions
are present in the packaged schema manifest.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.
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
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.
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