microsoft/synthetic-data
.github/skills/synthetic-data/SKILL.md
Generate synthetic training data using NVIDIA Cosmos world foundation models for SDG pipelines
$ install --global
skillsauthnpx skillsauth add microsoft/physical-ai-toolchain synthetic-dataInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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SKILL.md
- name:
- synthetic-data
- description:
- Generate synthetic training data using NVIDIA Cosmos world foundation models for SDG pipelines
Synthetic Data Skill
Generate photorealistic training data using NVIDIA Cosmos world foundation models — Cosmos Transfer, Cosmos Predict, and Cosmos Reason.
Overview
The Synthetic Data domain provides SDG pipelines that transform simulation-rendered frames into photorealistic training data, predict future environment states, and curate output for training quality.
Pipeline Stages
| Stage | Model | Purpose | |-------|-------|---------| | Transfer | Cosmos Transfer 2.5 | Convert Isaac Sim renders to photorealistic images | | Predict | Cosmos Predict 2.5 | Generate future frame sequences from observations | | Reason | Cosmos Reason 2 | Assess data quality and filter training samples |
Workflow Submission
SDG workflows can be submitted via OSMO or AzureML:
- OSMO workflows:
synthetic-data/workflows/osmo/ - AzureML jobs:
synthetic-data/workflows/azureml/
Key Files
| File | Purpose |
|------|---------|
| synthetic-data/README.md | Domain overview and directory structure |
| synthetic-data/workflows/osmo/sdg-pipeline.yaml | End-to-end OSMO SDG pipeline |
| synthetic-data/cosmos/configs/README.md | Model configuration reference |
| synthetic-data/specifications/synthetic-data.specification.md | SDG pipeline specification |
| synthetic-data/specifications/cosmos-integration.specification.md | Cosmos model integration specification |
Environment Requirements
All NVIDIA Cosmos containers require:
| Variable | Value |
|----------|-------|
| ACCEPT_EULA | Y |
| PRIVACY_CONSENT | Y |
| NVIDIA_DRIVER_CAPABILITIES | all |
GPU Requirements
Each Cosmos model stage requires a minimum of 1x A100 (40 GB) GPU. H100 (80 GB) recommended for production workloads.
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