🧪 Building Dbt Semantic Layer
This skill guides creating and modifying dbt semantic layer components, including models, entities, dimensions, and metrics, with validation and spec guidance.
npx playbooks add skill dbt-labs/dbt-agent-skills --skill building-dbt-semantic-layer
About Building Dbt Semantic Layer
This skill guides creating and modifying dbt semantic layer components, including models, entities, dimensions, and metrics, with validation and spec guidance.
At 21 words, this compact prompt gives your agent specialized testing & qa expertise with structured patterns and output formats. Install via CLI or copy the prompt below.
Use Cases
- Writing unit, integration, and end-to-end tests
- Setting up test coverage and CI pipelines
- Refactoring legacy code with confidence using tests
- Creating test plans and QA checklists
Example Prompts
System Prompt (21 words)
This skill guides creating and modifying dbt semantic layer components, including models, entities, dimensions, and metrics, with validation and spec guidance.
Frequently Asked Questions
What is Building Dbt Semantic Layer?
Building Dbt Semantic Layer is a free testing & qa skill for AI coding agents. This skill guides creating and modifying dbt semantic layer components, including models, entities, dimensions, and metrics, with validation and spec guidance.. It provides a specialized system prompt that configures your agent with testing & qa expertise.
How do I use Building Dbt Semantic Layer with Claude Code?
Run npx playbooks add skill dbt-labs/dbt-agent-skills --skill building-dbt-semantic-layer in your terminal to install Building Dbt Semantic Layer into your Claude Code session. It works immediately after installation.
Which AI coding agents work with Building Dbt Semantic Layer?
Building Dbt Semantic Layer is compatible with Claude Code, Cursor, GitHub Copilot, Windsurf, OpenClaw, Cline, and any AI agent that supports custom system prompts or .cursorrules files.
Is Building Dbt Semantic Layer free to use?
Yes, Building Dbt Semantic Layer is completely free and open source. The full source is available on GitHub at https://github.com/dbt-labs/dbt-agent-skills/tree/main/skills/building-dbt-semantic-layer. You only need a subscription to the AI agent you use it with.
