Signal Taxonomy

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

Published by @gtmagents·from gtmagents/gtm-agents·0 agent reads / 30d·0 saves·

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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