Free SKILL.md scraped from GitHub. Clone the repo or copy the file directly into your Claude Code skills directory.
npx versuz@latest install a5c-ai-babysitter-library-specializations-data-engineering-analytics-skills-data-cgit clone https://github.com/a5c-ai/babysitter.gitcp babysitter/SKILL.MD ~/.claude/skills/a5c-ai-babysitter-library-specializations-data-engineering-analytics-skills-data-c/SKILL.md---
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
---
# 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