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tao-run-deft-aoi

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Run the full DEFT AOI improvement loop for NVIDIA TAO VisualChangeNet / ChangeNet PCB inspection models: baseline evaluate, RCA, Cosmos AnomalyGen / AMP synthetic defects, k-NN mining, retraining, and deployment gating against a customer-defined primary metric and optional constraints. Use only when the request identifies an AOI / automated-optical-inspection, PCB-defect, VisualChangeNet, or ChangeNet workflow. Supports air-gapped/offline runs with pre-staged assets. Never infer AOI from generic iterative-improvement language. Do not use for CLIP / SigLIP image retrieval, attribute-labelled image data, standalone TAO training, one-off inference, generic anomaly generation, or RCA-only analysis.

skills/tao-run-deft-aoi/SKILL.md

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Nov 6, 2026
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Apache-2.0

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# Skill: tao-run-deft-aoi

> **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).

## Execution Contract

Treat this as a disk-backed state machine, not as a prose recipe.

1. Preserve every explicit user value. `epoch 1` means `num_epochs=1` and
   `iteration 1` means `max_iterations=1`; a heuristic or spec default applies
   only when the user did not supply that parameter. Show the source of every
   run parameter (`user`, `spec`, or `default`) in the Pre-Flight Summary.
   Preserve the customer's metric name, operator, target, unit, evaluator, and
   constraints. The approved `metric_contract` is the source of truth for