## Description: 
Use when the user wants to create a dataset, generate synthetic data, or build a data generation pipeline. 

This skill is ready for commercial/non-commercial use. 

## Owner
NVIDIA 

### License/Terms of Use: 
Apache 2.0 
## Use Case: 
Developers and engineers who need to create synthetic datasets, generate training data, or build data generation pipelines using the Data Designer library. 

### Deployment Geography for Use: 
Global 

## Requirements / Dependencies: 
**Requires API Key or External Credential:** [Not Specified] 
**Credential Type(s):** [None identified] 

Do not include secrets in prompts/logs/output; use least-privilege credentials; rotate keys as appropriate. 

## Known Risks and Mitigations: 
Risk: Review before execution as proposals could introduce incorrect or misleading guidance into skills. 
Mitigation: Review and scan skill before deployment. 

## Reference(s): 
- [NeMo Plugin Additions](references/nemo-platform-plugin-additions.md) 
- [Person Sampling Reference](references/person-sampling.md) 
- [Seed Datasets](references/seed-datasets.md) 
- [Autopilot Workflow](workflows/autopilot.md) 
- [Interactive Workflow](workflows/interactive.md) 
- [NeMo Platform Documentation](https://docs.nvidia.com/nemo-platform) 

## Skill Output: 
**Output Type(s):** [Code, Files] 
**Output Format:** [Python script with PEP 723 inline metadata] 
**Output Parameters:** [1D] 
**Other Properties Related to Output:** [None] 

## Evaluation Agents Used: 
- claude-code 
- codex 

## Evaluation Metrics Used: 
Reported benchmark dimensions: 
- Security: Checks whether skill-assisted execution avoids unsafe behavior such as secret leakage, destructive commands, or unauthorized access. 
- Correctness: Checks whether the agent follows the expected workflow and produces the correct final output. 
- Discoverability: Checks whether the agent loads the skill when relevant and avoids using it when irrelevant. 
- Effectiveness: Checks whether the agent performs measurably better with the skill than without it. 
- Efficiency: Checks whether the agent uses fewer tokens and avoids redundant work. 

## Skill Version(s): 
0.2.0 (source: git tag) 

## Ethical Considerations: 
NVIDIA believes Trustworthy AI is a shared responsibility and we have established policies and practices to enable development for a wide array of AI applications. When downloaded or used in accordance with our terms of service, developers should work with their internal team to ensure this skill meets requirements for the relevant industry and use case and addresses unforeseen product misuse. 

(For Release on NVIDIA Platforms Only) 
Please report quality, risk, security vulnerabilities or NVIDIA AI Concerns [here](https://app.intigriti.com/programs/nvidia/nvidiavdp/detail). 
