taxonomy

From README

Taxonomy Generation & Data Auditing When to Use User asks to create or review a tracking plan or event taxonomy User wants to validate event/property naming conventions User asks to audit or review a plan or branch against "our standard", their naming settings, or their AI Context User needs to audit data quality (duplicates, stale events, missing metadata) User asks about funnel design or event relationships Agent is generating event names or property names and needs to follow standards User wants to understand or improve their taxonomy governance User asks about reducing event volume or type counts User asks about deprecation, blocking, deleting, or hiding events Any agent needs a "source of truth" for taxonomy best practices before recommending events User asks about AI readiness, AI Controls, or improving AI feature accuracy --- Layer 1: Foundational Concepts Core Philosophy Six principles govern all taxonomy work: Evidence-first. Never fabricate.