# Data Catalog Enricher

> Enriches data catalog entries with automated metadata

- Skill: `a5c-ai/data-catalog-enricher` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add a5c-ai/data-catalog-enricher`
- Raw SKILL.md: https://api.skillmd.com/api/skills/a5c-ai/data-catalog-enricher/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Data & Analytics
- Author: a5c-ai (https://skillmd.com/u/a5c-ai)
- Updated: 2026-09-09
- Page: https://skillmd.com/skills/a5c-ai/data-catalog-enricher

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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

```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