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
npx -y skills add a5c-ai/babysitter --skill isaac-simAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
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
- README.md828 B