Skill: tao-run-deft-aoi
When to Use This Skill
Use this skill when the user wants an agent to run the full DEFT AOI improvement loop for an NVIDIA TAO VisualChangeNet / ChangeNet PCB inspection model: baseline evaluation, RCA, synthetic defect generation, data mining, retraining, and deployment gating until a KPI target is met.
"Run the DEFT loop"
"Fine-tune until FAR below 0.1% at recall=100%"
"Improve my AOI ChangeNet model using RCA and synthetic defects"
"Iterate training until false accept rate meets the target"
Do not use this skill for a single standalone TAO training run, one-off inference, generic anomaly generation, or RCA-only analysis. Use the relevant agent directly when the user asks for only that step.
Base Model
The loop operates on
NVIDIA TAO Visual ChangeNet
classify with the
NVIDIA C-RADIOv2-B
backbone, fine-tuned end-to-end. The architecture is defined in
specs/baseline_spec.yaml
— that file is the source of truth. All pretrained weights come from HuggingFace (
HF_TOKEN
required);
NGC_KEY
only gates container pulls. ChangeNet backbone resolution + the staged-file/HF-URL fallback for
model.backbone.pretrained_backbone_path
are owned by
references/visual-changenet.md
. SigLIP for k-NN mining is owned by
references/tao-mine-aoi-images.md
. AnomalyGen-side checkpoints (Cosmos-Predict2, T5, NVDINOV2, C-RADIO-V3, DINOv2-large, SAM2, Qwen3-VL — ~22 GB for 2B-only, ~140 GB with 14B + T5-11b) live under
tao-run-deft-aoi
安装
npx skills add https://github.com/nvidia/skills --skill tao-run-deft-aoi