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Cdf Defect Image Generation

NVIDIAOfficialCreated by NVIDIA

  • Skill
  • Workflow
  • Cloud and DevOps
  • Link-only
  • Medium risk
  • Has scripts

From the author

Generate synthetic PCB inspection images on Kubernetes with the SMT Defect Image Generation (DIG) DAG in CDF Orchestration. The DAG renders components in simulation, turns the renders into realistic golden images (sim2real), and uses AnomalyGen to add texture defects such as solder bridges, excess solder or missing components. Simulation can also render shift, tombstone and sideflip pose defects. Use it to build DIG payloads, pick a pipeline mode (full, simulation, sim2real or defect-only), check GPU readiness, follow a run, and match each defect image to its golden and simulated source. Not for running Simulation, Augmentation or AnomalyGen on their own.
— the description by NVIDIA

Install

Documentation by NVIDIA

The licence of this skill does not allow us to copy its documentation. Read it at the source

Files

Requirements and compatibility

Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta

“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.

Needs: Needs an API key, Needs a command-line tool, Needs Python, Needs Node.js

Security

What our scanner noticed· Medium risk

  • Large base64-encoded blobs
  • Scripts that your agent may run

This skill includes scripts that your agent may run. Read them before you use it.

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Attribution and licence

Created by
NVIDIA
Publisher
NVIDIA (Official)
Source
NVIDIA/skills · skills/cdf-defect-image-generation · commit fce3cca
Licence
Unrecognised licence declaration: CC-BY-4.0 AND Apache-2.0 (link-only: we do not redistribute its files)
Synced

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This skill’s licence does not allow redistribution, so we link to it instead: NVIDIA/skills