Babysitter Data Catalog Enricher

Enriches data catalog entries with automated metadata

install

source · Clone the upstream repo

git clone https://github.com/a5c-ai/babysitter

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/a5c-ai/babysitter "$T" && mkdir -p ~/.claude/skills && cp -r "$T/library/specializations/data-engineering-analytics/skills/data-catalog-enricher" ~/.claude/skills/a5c-ai-babysitter-data-catalog-enricher && rm -rf "$T"

manifest: library/specializations/data-engineering-analytics/skills/data-catalog-enricher/SKILL.md

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