tao-run-deft-aoi
tao-run-deft-aoi is an agent skill published by nvidia, listed under training models. It lives in the NVIDIA/skills repository, which has 3,735 GitHub stars and is licensed under Apache-2.0; we last read it on 2026-09-25.
Runs the full DEFT AOI improvement loop for NVIDIA TAO VisualChangeNet/ChangeNet PCB inspection models, including baseline evaluation, root cause analysis, synthetic defect generation, retraining, and deployment gating based on a customer-defined metric. Requires AOI, PCB defect, VisualChangeNet, or ChangeNet workflow identification. Supports air-gapped/offline runs with pre-staged assets.
Install
skills is a generic installer for any repository of Claude agent skills -- it reads NVIDIA/skills’s own structure rather than assuming one, the same way this page reads the skill’s own SKILL.md rather than assuming a format.
npx skills add NVIDIA/skills
What it connects to
Unverified means a mention in the skill’s own description, not a citation. A wrong claim here costs nothing to correct and nothing to trust yet.
Maintenance
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.
tao-run-deft-aoi compared with similar skills
| Skill | Publisher | What it does | Repo stars | Last update |
|---|---|---|---|---|
| tao-run-deft-aoi (this page) | nvidia | Run the full DEFT AOI improvement loop for NVIDIA TAO VisualChangeNet / ChangeNet PCB inspection models: base… | 3,735 | 2026-10-26 |
| nemo-mbridge-mlm-bridge-training(same repository) | nvidia | Run Megatron-LM (MLM) and Megatron Bridge training with mock or real data. Covers correlation testing, availa… | 3,735 | 2026-10-26 |
| nemotron-asr-finetune(same repository) | nvidia | Orchestration skill for NVIDIA Nemotron Speech (Riva) / NeMo ASR domain and language adaptation. Given a goal… | 3,735 | 2026-10-26 |
| nemotron-customize(same repository) | nvidia | Plan, configure, and chain repo-native Nemotron customization steps into single-step or multi-step pipelines:… | 3,735 | 2026-10-26 |
| nvflare-convert-huggingface(same repository) | nvidia | Convert existing Hugging Face Transformers Trainer or TRL SFTTrainer training code into an NVFLARE federated… | 3,735 | 2026-10-26 |
| paidf-anomalygen(same repository) | nvidia | Full PAIDF AnomalyGen pipeline — fine-tune on a new anomaly dataset, generate synthetic anomaly images (SDG),… | 3,735 | 2026-10-26 |
| tao-finetune-cosmos-embed(same repository) | nvidia | Cosmos-Embed1 video-text embedding for text-to-video retrieval, video-to-video search, semantic deduplication… | 3,735 | 2026-10-26 |
Skills from the same repository first, then others for this job by repository stars. Figures are from each repository when we last read it.
Common questions about tao-run-deft-aoi
- What does tao-run-deft-aoi do?
- Runs the full DEFT AOI improvement loop for NVIDIA TAO VisualChangeNet/ChangeNet PCB inspection models, including baseline evaluation, root cause analysis, synthetic defect generation, retraining, and deployment gating based on a customer-defined metric. Requires AOI, PCB defect, VisualChangeNet, or ChangeNet workflow identification. Supports air-gapped/offline runs with pre-staged assets.
- How do I install tao-run-deft-aoi?
- Run npx skills add NVIDIA/skills. The skills installer reads the repository’s own structure, so it works for any repository of agent skills.
- Who publishes tao-run-deft-aoi?
- nvidia.
- Is tao-run-deft-aoi maintained, and what licence does it use?
- Its repository has 3,735 GitHub stars and its state in our directory is listed. Its last commit we recorded was on 2026-10-26. The repository declares the Apache-2.0 licence.
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