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Isaac sim

Skill a5c-ai/babysitter/library/specializations/robotics-simulation/skills/isaac-sim

Specialized skill for NVIDIA Isaac Sim photorealistic simulation and synthetic data generationFrom its SKILL.md

Install
npx -y skills add a5c-ai/babysitter --skill isaac-sim

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SKILL.md

1.7 KB, 284 tokens by cl100k_base, as published. Nobody here has run it

NVIDIA Isaac Sim Skill

Overview

Expert skill for NVIDIA Isaac Sim photorealistic simulation, Omniverse integration, and synthetic data generation using Replicator.

Capabilities

  • Import and convert URDF to USD format
  • Create photorealistic environments with RTX ray tracing
  • Configure PhysX physics simulation
  • Implement Replicator synthetic data generation
  • Apply domain randomization (lighting, textures, poses)
  • Generate ground truth annotations (segmentation, depth, bounding boxes)
  • Configure ROS/ROS2 bridge for Isaac Sim
  • Set up multi-GPU distributed simulation
  • Create Isaac Sim extensions and workflows
  • Export datasets in standard formats (COCO, KITTI)

Target Processes

  • isaac-sim-photorealistic.js
  • synthetic-data-pipeline.js
  • digital-twin-development.js
  • rl-robot-control.js

Dependencies

  • NVIDIA Isaac Sim
  • Omniverse
  • NVIDIA GPU with RTX
  • USD/USDA libraries

Usage Context

This skill is invoked when processes require photorealistic simulation environments, synthetic data generation with domain randomization, or high-fidelity physics simulation using NVIDIA's simulation stack.

Output Artifacts

  • USD scene files
  • Replicator configuration scripts
  • Synthetic datasets (images, annotations, ground truth)
  • Domain randomization configurations
  • ROS bridge configurations

What ships with it: 1 file

828 B alongside SKILL.md

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