Agent skill · NVIDIA
data-designer
Use when the user wants to create a dataset, generate synthetic data, or build a data generation pipeline.
What it needs
About 3k tokens when loaded.
What this skill does
Before You Start Do not explore the workspace first. The workflow's Learn step gives you everything you need. Goal Build a synthetic dataset using the Data Designer library that matches this description: $ARGUMENTS Workflow Use Autopilot mode if the user implies they don't want to answer questions — e.g., they say something like "be opinionated", "you decide", "make reasonable assumptions", "just build it", "surprise me", etc. Otherwise, use Interactive mode (default). Read only the workflow file that matches the selected mode, then follow it: Interactive → read workflows/interactive.md Autopilot → read workflows/autopilot.md Rules Keep all columns in the output by default. The only exceptions for dropping a column are: (1) the user explicitly asks, or (2) it is a helper column that exists solely to derive other columns (e.g., a sampled person object used to extract name, city, etc.). When in doubt, keep the column. Do not suggest or ask about seed datasets. Only use one when the user explicitly provides seed data or asks to build from existing records. When using a seed, read references/seed-datasets.md. When the dataset requires person data (names, demographics, addresses), read references/person-sampling.md. If a dataset script that matches the dataset description already exists, ask the user whether to edit it or create a new one. Usage Tips and Common Pitfalls Sampler and validation columns need both a type and params. E.g., samplertype="category" with params=dd.CategorySamplerParams(...). Jinja2 templates in prompt, systemprompt, and expr fields: reference columns with {{ columnname }}, nested fields with {{ columnname.field }}. SamplerColumnConfig: Takes params, not samplerparams. LLM judge score access: LLMJudgeColumnConfig produces a nested dict where each score name maps to {reasoning: str, score: int}. To get the numeric score, use the .score attribute. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills NVIDIA/data-designer