DBT Semantic Layer

概要

This skill empowers data practitioners to master the dbt Semantic Layer and MetricFlow, offering specialized assistance in defining semantic models, entities, and multi-layered metrics. It guides users through the entire development lifecycle, from local environment setup and CLI-driven validation to complex BI tool integrations and API-based querying. Whether you are debugging validation errors, implementing cumulative metrics, or configuring time spines, this skill ensures adherence to official best practices for centralized metric governance and consistent data modeling.

主な機能

• CLI command optimization for MetricFlow development and testing
• 0 GitHub stars
• Architectural guidance for defining semantic models, entities, and dimensions
• Multi-type metric implementation including ratio, cumulative, and conversion metrics
• Three-layer validation workflows for parsing, semantic logic, and warehouse execution
• API and SDK integration patterns for BI tools, Python, and GraphQL

ユースケース

• Centralizing metric definitions for downstream BI tools like Tableau and Power BI
• Automating validation and CI/CD workflows for data modeling projects
• Building and debugging complex MetricFlow semantic graphs and join logic