synthetic-data Skill
Generate synthetic training data using NVIDIA Cosmos world foundation models for SDG pipelines Published by microsoft in physical-ai-toolchain.
Decision snapshot
Is this a fit?
Data analysis, Includes SKILL.md, Reusable instructions
Compatibility not yet detected.
Permission behavior not yet detected.
Copy skill directory
2 months ago · MIT license
No specific cautions were detected. Review the source and requested permissions before installing.
What is synthetic-data Skill?
Generate synthetic training data using NVIDIA Cosmos world foundation models for SDG pipelines Published by microsoft in physical-ai-toolchain. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement. See how SkillIndex evaluates profiles.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Data analysis
- Data analysis use cases
Declared skill metadata
- Source file: .github/skills/synthetic-data/SKILL.md
These fields retain source and confidence evidence from the indexed SKILL.md.
Compatibility and setup
- Install or run with Copy skill directory
When to use synthetic-data Skill
- Use it for data analysis.
Built with
Editorial notes
Source
- Creator: microsoft
- Repository: microsoft/physical-ai-toolchain
- Skill file: .github/skills/synthetic-data/SKILL.md
What it does
Generate synthetic training data using NVIDIA Cosmos world foundation models for SDG pipelines
Skill instructions
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/wo
Verified compatibility and discovery
Frequently asked questions
What is synthetic-data?
synthetic-data is a open-source AI agent skill with Copy skill directory. Generate synthetic training data using NVIDIA Cosmos world foundation models for SDG pipelines
Who is synthetic-data best for?
synthetic-data is best for reusing agent instructions, scripts, and references, data analysis workflows.
How do I install synthetic-data?
Install or run synthetic-data using Copy skill directory. Check synthetic-data for the latest setup command.
Is synthetic-data actively maintained?
synthetic-data may need a closer maintenance check before production use.
Project health auto-fetched from the source repository.
Maintain this resource?
Review this source-backed profile, send a correction with evidence, or link to it from your documentation. Claims verify your relationship to the project; profile facts still require source evidence and editorial review.
