# Signal Taxonomy

> Use to define schemas, topic tags, and lineage metadata for enriched

Use to define schemas, topic tags, and lineage metadata for enriched

- Page: https://ss33.ai/skills/gtmagents/signal-taxonomy-10790182514
- Publisher: gtmagents
- Category: [Data & Analytics](https://ss33.ai/skills/category/data-and-analytics-m1r3i9) › [Databases & SQL](https://ss33.ai/skills/category/data-and-analytics-m1r3i9/databases-and-sql-f7srkv)
- License: Apache-2.0
- Source: https://github.com/gtmagents/gtm-agents/blob/78e0419f4440bcb43bc80127e174ecf5adef1753/plugins/data-signal-enrichment/skills/signal-taxonomy/SKILL.md

## Skill

SKILL.md: https://ss33.ai/api/v1/ss33/download/gtmagents/signal-taxonomy-10790182514

# Signal Taxonomy Skill

## When to Use
- Normalizing multiple provider outputs into a unified schema.
- Rolling out new intent topics, enrichment attributes, or scoring dimensions.
- Auditing lineage + compliance requirements.

## Framework
1. **Schema Definition** – fields, datatypes, required/optional flags.
2. **Topic & Attribute Mapping** – align provider-specific attributes to canonical names.
3. **Versioning** – maintain change logs, effective dates, and migration steps.
4. **Validation Rules** – min/max values, allowed lists, dependency rules.
5. **Documentation** – publish data dictionary + lineage diagrams.

## Templates
- Data dictionary sheet (field, description, source, owner).
- Topic mapping table by provider.
- Migration checklist for schema changes.

## Tips
- Keep names human-readable for GTM teams but consistent with data warehouse standards.
- Tag every field with owner + refresh cadence.
- Pair with `identity-resolution` to ensure IDs and linkages stay consistent.

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