golden-dataset-curation
✓Use when creating or improving golden datasets for AI evaluation. Defines quality criteria, curation workflows, and multi-agent analysis patterns for test data.
Installation
SKILL.md
Curate high-quality documents for the golden dataset with multi-agent validation
This skill provides patterns and workflows for adding new documents to the golden dataset with thorough quality analysis. It complements golden-dataset-management which handles backup/restore.
| article | Technical articles, blog posts | Depth, accuracy, actionability | | tutorial | Step-by-step guides | Completeness, clarity, code quality | | researchpaper | Academic papers, whitepapers | Rigor, citations, methodology | | documentation | API docs, reference materials | Accuracy, completeness, examples |
Use when creating or improving golden datasets for AI evaluation. Defines quality criteria, curation workflows, and multi-agent analysis patterns for test data. Source: yonatangross/orchestkit.
Facts (cite-ready)
Stable fields and commands for AI/search citations.
- Install command
npx skills add https://github.com/yonatangross/orchestkit --skill golden-dataset-curation- Source
- yonatangross/orchestkit
- Category
- {}Data Analysis
- Verified
- ✓
- First Seen
- 2026-02-01
- Updated
- 2026-02-18
Quick answers
What is golden-dataset-curation?
Use when creating or improving golden datasets for AI evaluation. Defines quality criteria, curation workflows, and multi-agent analysis patterns for test data. Source: yonatangross/orchestkit.
How do I install golden-dataset-curation?
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/yonatangross/orchestkit --skill golden-dataset-curation Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor
Where is the source repository?
https://github.com/yonatangross/orchestkit
Details
- Category
- {}Data Analysis
- Source
- skills.sh
- First Seen
- 2026-02-01