What problem does it solve? Teams routinely fight over mismatched dashboards and ambiguous metrics like "active user" or "conversion rate." This Skill turns a vague metric idea into a single canonical definition with every noun pinned, edge cases legislated, gaming resistance built in, and one owned implementation. ## Core Features & Use Cases - Pinned metric sentence: Forces every metric into an explicit template covering aggregation, event, population, window, and time anchor so no noun stays vague. - Denominator and gaming red-team: Interrogates who can shrink the denominator, then pairs the target metric with a guardrail metric to prevent Goodhart-style gaming. - Canonical implementation and validation: Ships the definition in a metrics/semantic layer (dbt metrics, LookML, or one blessed SQL view) with an owner, versioning, 12-month backfill checks, and reconciliation against independent sources. - Use Case: When two dashboards disagree on "activation," use this Skill to arbitrate the definition, legislate edge cases like refunds and timezones, and ship one versioned definition both teams consume. ## Quick Start Ask the AI to define an activation metric for your PLG funnel, including the exact numerator and denominator, edge-case rulings, and a guardrail metric.
