physical-ai-defect-image-generation

Physical AI Defect Image Generation Workflow Orchestrator Table of Contents Supported Flows Disambiguation (full table in references/disambiguation.md ) Step 0: Select Flow, Cookbook, and Gather Inputs Common Preconditions (long-form in references/preconditions.md ) Flow walkthroughs (one entry per flow; details in references/flows/ ) OSMO Monitoring Supporting files End-to-end orchestration of defect image generation, augmentation, and labeling pipelines for AOI (Automated Optical Inspection) datasets. Every flow has a canonical OSMO workflow YAML in assets/configs/ that chains all steps non-interactively. Use-case cookbooks in assets/cookbooks/ provide PCBA usd2roi/image-edit configs and AnomalyGen training configs for PCBA, metal surface, and glass inspection. This skill governs flow selection, data handoffs, and submit commands; component internals live in each component's SKILL.md . Supported Flows Show more Installs 554 Repository nvidia/skills GitHub Stars 1.3K First Seen May 31, 2026 Security Audits Gen Agent Trust Hub Pass Socket Pass Snyk Warn