data-catalog-enricher

name	Data Catalog Enricher
description	Enriches data catalog entries with automated metadata
version	1.0.0
category	Data Governance
skillId	SK-DEA-017
allowed-tools	["Read","Write","Edit","Glob","Grep","Bash"]
graph	{"domains":["domain:data-engineering"],"specializations":["specialization:data-engineering-analytics"],"skillAreas":["skill-area:data-governance","skill-area:data-lineage"],"roles":["role:data-engineer","role:analytics-engineer"],"workflows":["workflow:data-quality-monitoring"],"topics":["topic:data-mesh"]}

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

1. Provide existing catalog entry for enrichment
2. Include data profile for classification analysis
3. Supply business glossary for term matching
4. 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