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dbt-semantic-layer

Official

Build and maintain reliable metrics with dbt Semantic Layer.

Data & Analytics#analytics#validation#metrics#data modeling#dbt#semantic layer
Authorrittmananalytics
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill streamlines the creation and upkeep of a consistent, queryable metrics layer over dbt models, facilitating reliable reporting and analytics.

Core Features & Use Cases

  • Semantic artifact management: Guides users through developing semantic models, entities, dimensions, measures, and metrics tailored to dbt projects.
  • Validation & best practices: Ensures semantic layer configurations adhere to conventions and are validated against the dbt environment, reducing errors.
  • Use Case: Data teams can rapidly implement a metrics layer that supports consistent KPI reporting across dashboards, minimizing manual errors and discrepancies.

Quick Start

Start by defining a semantic model in a YAML file referencing your dbt model, then create metrics based on measures to enable analytics.

Dependency Matrix

Required Modules

None required

Components

scriptsreferences

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: dbt-semantic-layer
Download link: https://github.com/rittmananalytics/wire-plugin/archive/main.zip#dbt-semantic-layer

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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