What problem does it solve? Amplitude taxonomies drift over time: duplicate events, cryptic names, missing descriptions, stale events, and quota pressure make analytics unreliable and degrade AI feature accuracy. This Skill provides a single source of truth for auditing, scoring, and improving event tracking plans without risking destructive changes. ## Core Features & Use Cases - Taxonomy Auditing: Detect duplicates, stale events, test artifacts, unexpected events, and naming convention outliers using defined signals, thresholds, and a health scoring framework. - Naming & Property Standards: Enforce Title Case event names, snake_case properties, type standards, and category assignment when generating or reviewing tracking plans. - Safe Governance: Apply metadata-only improvements (descriptions, display names, categories, tags) with before/after confirmation, and guide phased deprecation without blocking, deleting, or sampling. - Use Case: Ask the assistant to audit your Amplitude taxonomy; it paginates through all events, scores issues by impact and importance, and presents a prioritized cleanup plan for your approval. ## Quick Start Audit my Amplitude event taxonomy and recommend the highest-impact improvements.