Data Catalog Enricher
Enriches data catalog entries with automated metadata
npx skills add a5c-ai/babysitter --skill data-catalog-enricher --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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 - Inte
- Overview
- Capabilities
- Input Schema
- Output Schema
- Target Processes
- Usage Guidelines
- Best Practices
What does the Data Catalog Enricher skill do?
Enriches data catalog entries with automated metadata
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill data-catalog-enricher --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.