TAO Skill Bank Capabilities
Standalone 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.
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:
bash${TAO_SKILL_BANK_PATH:-~/tao-skill-bank}/scripts/list_tao_capabilities.py \ --skill-bank ${TAO_SKILL_BANK_PATH:-~/tao-skill-bank} --format text
Use the helper output as the source of truth for the answer instead of manually enumerating capabilities from this skill or plugin metadata. Include:
- Every top-level application workflow under
applications/and what it can do. - Every top-level data workflow under
data/and what it can do. - Supported execution platforms, discovered from the installed platform skills
(tao-run-on-docker / -slurm / -kubernetes / -brev, plus any external one); on a
runtime that surfaces only the core router skills, read
skills/platform/tao-run-on-*/SKILL.mdfrontmatter. - The fine-tuning/deployment workflow coverage for models under
models/: train, evaluate, inference, export, and TensorRT engine generation when those actions are present in the packaged schema manifest. - AutoML support and the AutoML per-action schema gate.
Model Lists
When the user asks which TAO models are available or which actions a model can run, use the packaged model-list script instead of manually scanning model folders:
bash${TAO_SKILL_BANK_PATH:-~/tao-skill-bank}/scripts/list_tao_models.py \ --skill-bank ${TAO_SKILL_BANK_PATH:-~/tao-skill-bank} --scope all --format text
The model list comes from skills/models/schemas.manifest.json.
AutoML Lists
When the user asks what models are capable with AutoML, use the same model-list script in AutoML mode, or the compatibility wrapper:
bash${TAO_SKILL_BANK_PATH:-~/tao-skill-bank}/scripts/list_tao_models.py \ --skill-bank ${TAO_SKILL_BANK_PATH:-~/tao-skill-bank} --scope automl --format text
bash${TAO_SKILL_BANK_PATH:-~/tao-skill-bank}/scripts/list_automl_support.py \ --skill-bank ${TAO_SKILL_BANK_PATH:-~/tao-skill-bank} --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.
