metrics-layer

What problem does it solve?

In many analytics environments, metric definitions drift across tools. This skill provides a centralized approach to define and manage metrics using dbt Semantic Layer, MetricFlow, or Cube to ensure consistency and governance across BI surfaces.

Core Features & Use Cases

• Define semantic models and metrics that can be consumed by multiple BI tools (Tableau, Looker, Power BI) and dashboards.
• Validate metric definitions automatically using dbt parse and MetricFlow validation, catching inconsistencies before deployment.
• Reuse saved queries and exports (semantic_models.yml, metrics.yml) to accelerate governance and cross-team reporting.

Quick Start

Create your first semantic model and metrics using the templates, then run dbt parse and mf validate to verify them.