Define semantic models and metrics for dbt Semantic Layer, MetricFlow, and Cube.
npx skills add https://github.com/nrakow/ae-skills-dev --skill metrics-layer
Please help me install this Agent Skill. Skill: metrics-layer Source: https://github.com/nrakow/ae-skills-dev/tree/main/skills/metrics-layer Command: npx skills add https://github.com/nrakow/ae-skills-dev --skill metrics-layer
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.
Create your first semantic model and metrics using the templates, then run dbt parse and mf validate to verify them.
High-intent search queries and answers about installing and using this skill.
To define metrics in dbt Semantic Layer, create semantic_models.yml and metrics.yml files using established templates. Once defined, validate your metric definitions by running dbt parse and mf validate to catch inconsistencies before deployment.
A semantic metrics layer is a centralized framework that defines KPIs to prevent metric drift across analytics environments. You need one when multiple BI tools or dashboards consume the same metrics and require strict governance and consistent reporting.
Validate MetricFlow definitions by running mf validate alongside dbt parse. This automated validation catches inconsistencies and functional errors in your semantic models and metrics YAML files before they reach production dashboards.
Yes, Cube and dbt Semantic Layer can be used together. This skill provides centralized guidance for building semantic models, metrics definitions, and saved queries across both platforms to ensure consistent KPI calculations and cross-tool governance.
KPI calculations drift when metric definitions are managed independently across tools. Implementing a unified semantic layer with standardized semantic_model and metrics YAML definitions prevents this drift and ensures cross-team reporting consistency.
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