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Get Started Free →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".
| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-04 | ✗→✓ | ▲ Improved | -46% | 0% |
| case-05 | ✗→✓ | ▲ Improved | -35% | 0% |
| case-06 | ✗→✓ | ▲ Improved | -67% | 0% |
| case-08 | ✗→✓ | ▲ Improved | -43% | 0% |
| case-09 | ✗→✓ | ▲ Improved | -30% | 0% |
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:
bash${TAO_SKILL_BANK_PATH:-~/tao-skills-external}/scripts/list_tao_capabilities.py \ --skill-bank ${TAO_SKILL_BANK_PATH:-~/tao-skills-external} --format text
Use the helper output as the source of truth for the answer instead of manually enumerating capabilities from this skill or plugin metadata. Include:
applications/ and what it can do.data/ and what it can do.scripts/list_tao_platforms.py.models/: train,evaluate, inference, export, and TensorRT engine generation when those actions are present in the packaged schema manifest.
When the user asks which TAO models are available or which actions a model can run, use the packaged model-list script instead of manually scanning model folders:
bash${TAO_SKILL_BANK_PATH:-~/tao-skills-external}/scripts/list_tao_models.py \ --skill-bank ${TAO_SKILL_BANK_PATH:-~/tao-skills-external} --scope all --format text
The model list comes from skills/models/schemas.manifest.json.
When the user asks what models are capable with AutoML, use the same model-list script in AutoML mode, or the compatibility wrapper:
bash${TAO_SKILL_BANK_PATH:-~/tao-skills-external}/scripts/list_tao_models.py \ --skill-bank ${TAO_SKILL_BANK_PATH:-~/tao-skills-external} --scope automl --format text
bash${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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