MCP servers and skills: search, filter by where they run, and compare.
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
OfficialSkillApache-2.0 AND CC-BY-4.0★ 3.6k in collectionNo key
Visual ChangeNet for binary image classification and segmentation in AOI defect detection. Use when training, evaluating, exporting, or running inference for PCB defect detection or visual inspection,
OfficialSkillApache-2.0★ 3.6k in collectionNo key
Optical Inspection for defect detection using Siamese networks. Compares image pairs to detect manufacturing defects, anomalies, or quality issues. Use when training, evaluating, exporting, or running
OfficialSkillApache-2.0★ 3.6k in collectionNo key
Use when the user wants to orchestrate defect image generation with NVIDIA Cosmos AnomalyGen (Cosmos-Predict2-derived) on OSMO for PCBA, metal surface, and glass inspection. The Day 0 path handles col
OfficialSkillCC-BY-4.0 AND Apache-2.0★ 3.6k in collectionNo key
Run the canonical NVIDIA AOI three-phase training pipeline — Phase 1 AutoML baseline (HPO), Phase 2 DEFT loop (RCA → SDG → mining → plain-train retrain), Phase 3 AutoML refinement on the DEFT-augmente
OfficialSkillApache-2.0★ 3.6k in collectionNo key
Run the disk-backed DEFT AOI improvement loop for NVIDIA Cosmos Reason 3 / Cosmos3 models, using Nano by default and Edge or Super when explicitly requested: evaluate the base model on Proxy and froze
OfficialSkillApache-2.0 AND CC-BY-4.0★ 3.6k in collectionNo key
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