⚠️Install with caution. This skill has very few installs. Always review the source and verify it on clawhub.ai before installing. Community-built skills run with agent permissions — only install ones you trust.

🖼️ Image Generation

physical-ai-defect-image-generation

Name: physical-ai-defect-image-generation
Author: nvidia

physical-ai-defect-image-generation

nvidia

Use when the user wants to orchestrate defect image generation, run associated setup, or handle outputs on OSMO. The Day 0 path handles cold-start with USD-to-ROI, image-edit augmentation, and AnomalyGen to create initial PCBA datasets. The Day 1 path performs inference and labeling on real images. This skill helps with first-time asset setup, creation of finetuning checkpoints, and configuring deployment. Trigger keywords: defect image generation, dig workflow, dig pipeline, defect image detection workflow, aoi pipeline, aoi anomalygen, usd2roi anomalygen, day 0 pcba, day 1 pcba, day 1 real-photo alignment, day 1 manual roi, metal surface anomaly, glass defect, anomalygen finetune, setup_pcb, setup_metal, setup_glass, setup_pretrained, dig setup, dig datasets, dig pretrained checkpoint, dig image-edit endpoint.

Download Package View on ClawHub

Install & Quick Start

Install via ClawdBot CLI:

clawdbot install nvidia/physical-ai-defect-image-generation

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Quality Score

D20/100

Grade Poor — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.

Market Validation0/35

· Negligible download count
· No tracked installs (may still have real users via manual install)

Documentation3/25

· Has summary, no SKILL.md

Package Completeness0/15

· No skillAssets

Maintenance7/15

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Usage Guide

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physical-ai-defect-image-generation

Install & Quick Start

Quality Score

More Image Generation Skills