golden-dataset-management
Use when backing up, restoring, or validating golden datasets. Prevents data loss and ensures test data integrity for AI/ML evaluation systems.
npx skills add majiayu000/claude-skill-registry --skill golden-dataset-management --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Golden Dataset Management **Protect and maintain high-quality test datasets for AI/ML systems** ## Overview A **golden dataset** is a curated collection of high-quality examples used for: - **Regression testing:** Ensure new code doesn't break existing functionality - **Retrieval evaluation:** Measure search quality (precision, recall, MRR) - **Model benchmarking:** Compare different models/approaches - **Reproducibility:** Consistent results across environments **When to use this skill:** - Building test datasets for RAG systems - Implementing backup/restore for critical data - Validating data integrity (URL contracts, embeddings) - Migrating data between environments --- ## SkillForge's Golden Dataset **Stats (Production):** - **98 analyses** (completed content analyses) - **415 chunks** (embedded text segments) - **203 test queries** (with expected results) - **91.6% pass rate** (retrieval quality metric) **Purpose:** - Test hybrid search (vector + BM25 + RRF) - Validate metadata boosting strategies - Detect regressions in retrieval quality - Benchmark new embedding models --- ## Core Concepts ### Data Integrity Contracts **The URL Contract:** Golden dataset analyses MUST stor
- Overview
- SkillForge's Golden Dataset
- Core Concepts
- Data Integrity Contracts
- Backup Strategy Comparison
- Quick Reference
- Backup Format
- CLI Commands
- Validation Checks
- Best Practices Summary
- Disaster Recovery Quick Guide
- References
- Related Skills
- Capability Details
cd backend Backup golden dataset poetry run python scripts/backup_golden_dataset.py backup Verify backup integrity poetry run python scripts/backup_golden_dataset.py verify Restore from backup (WARNING: Deletes existing data) poetry run python scripts/backup_golden_dataset.py restore --replace Restore without deleting (adds to existing) poetry run python scripts/backup_golden_dataset.py restore
What does the golden-dataset-management skill do?
Use when backing up, restoring, or validating golden datasets. Prevents data loss and ensures test data integrity for AI/ML evaluation systems.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill golden-dataset-management --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.