Individual skill
data-designer
Use when the user wants to create a dataset, generate synthetic data, or build a data generation pipeline. The argument is the description of the dataset to generate.
skills/data-designer/SKILL.md
Source commit fce3cca4170be75e82c64920654d56ee2811b005
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- Last checked
- Nov 9, 2026
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- Repository last updated
- Nov 9, 2026
- License
- Apache-2.0
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- agent-skills Repository topic
- agentic-ai Repository topic
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- cuda Repository topic
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- llm Repository topic
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- data Derived category
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BENCHMARK.mddoc · 9,320 bytesSKILL.mdcore · 4,717 bytesSKILL.mdcore · 4,717 bytesevals/config.ymlasset · 1,561 bytesevals/evals.jsonasset · 1,450 bytesreferences/person-sampling.mddoc · 2,356 bytesreferences/preview-review.mddoc · 1,875 bytesreferences/seed-datasets.mddoc · 1,170 bytesscripts/get_person_object_schema.pyruns · 1,765 bytesskill-card.mddoc · 4,796 bytesskill.oms.sigasset · 6,249 bytesworkflows/autopilot.mddoc · 2,631 bytesworkflows/interactive.mddoc · 3,322 bytes
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# 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).