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

```json
{
  "catalogEntry": "object",
  "dataProfile": "object",
  "existingGlossary": "object",
  "organizationContext": "object"
}
```

## Output Schema

```json
{
  "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