semantic-metrics-layerlisted

Build a governed semantic/metrics layer: define each metric once as metrics-as-code (dbt Semantic Layer/MetricFlow) with explicit grain and filters, model entities/dimensions to prevent fan-out, and expose one contract every BI tool consumes — ending metric drift.
mcorbett51090/RavenClaude · ★ 7 · AI & Automation · score 63

Install: claude install-skill mcorbett51090/RavenClaude

# Semantic / Metrics Layer ## One definition per metric Revenue, active user, churn, MRR — defined **once** as metrics-as-code, versioned, PR-reviewed. Two dashboards with two 'revenue's = trust gone. ## Explicit grain + filters A metric needs its **grain** (per what?) and **filters** (which segment?) stated. Otherwise it's uninterpretable. ## Entities & dimensions Model joins/grains in the layer so consumers can't fan-out or double-count. ## One contract All BI tools query the same metrics — the semantic layer is the contract, not each tool's hidden calc. Significance -> `applied-statistics`.