golden-dataset-management

Community

Protect and validate AI golden datasets.

Authoryonatangross
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Golden datasets are essential for reproducible AI testing but are difficult to version, backup, and restore in a reliable, auditable way.

Core Features & Use Cases

  • Backup and version-control golden datasets to JSON, including analyses, chunks, and artifacts while omitting embeddings for lightweight storage.
  • Restore into new or existing environments with embeddings regenerated from the current model, then verify data integrity.
  • Support CI/CD automation and disaster recovery workflows with validation checks and changelog-friendly backups.

Quick Start

Use the golden-dataset-management skill to backup your current dataset, verify the backup, and optionally restore into a staging environment with replace if needed.

Dependency Matrix

Required Modules

sqlalchemystructlog

Components

references

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: golden-dataset-management
Download link: https://github.com/yonatangross/create-yg-app/archive/main.zip#golden-dataset-management

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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