Data catalog enricher
Skill a5c-ai/babysitter/library/specializations/data-engineering-analytics/skills/data-catalog-enricher
Enriches data catalog entries with automated metadataFrom its SKILL.md
npx -y skills add a5c-ai/babysitter --skill data-catalog-enricherAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
SKILL.md
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Data Catalog Enricher
Overview
Enriches data catalog entries with automated metadata. This skill enhances data discoverability and governance through intelligent metadata augmentation.
Capabilities
- Automated tag suggestion
- Business glossary term matching
- Owner/steward recommendation
- Usage pattern analysis
- Data classification (sensitivity, PII)
- Quality score integration
- Lineage enrichment
- Search optimization
Input Schema
{
"catalogEntry": "object",
"dataProfile": "object",
"existingGlossary": "object",
"organizationContext": "object"
}
Output Schema
{
"enrichedEntry": "object",
"suggestedTags": ["string"],
"glossaryMatches": ["object"],
"classificationResults": "object",
"ownerSuggestions": ["string"]
}
Target Processes
- Data Catalog
- Data Lineage Mapping
- Data Quality Framework
Usage Guidelines
- Provide existing catalog entry for enrichment
- Include data profile for classification analysis
- Supply business glossary for term matching
- Add organization context for owner recommendations
Best Practices
- Regularly update glossary matches as glossary evolves
- Validate PII classifications with data stewards
- Integrate quality scores from quality framework
- Maintain consistent tagging taxonomy
- Review and approve automated classifications
What ships with it: 1 file
481 B alongside SKILL.md
- README.md481 B