dbt-labs

Creates unit test YAML definitions that mock upstream model inputs and validate expected outputs.

Writes and executes SQL queries against the data warehouse using dbt's Semantic Layer or ad-hoc SQL to answer business questions.

Use when creating or modifying dbt Semantic Layer components — semantic models, metrics, dimensions, entities, measures, or time spines.

Generates MCP server configuration JSON, resolves authentication setup, and validates server connectivity for dbt.

Retrieves and searches dbt documentation pages in LLM-friendly markdown format.

Classifies dbt-core to Fusion migration errors into actionable categories (auto-fixable, guided fixes, needs input, blocked).

Use when migrating a dbt project from dbt Core to run on the Fusion engine.

Use when migrating a dbt project from one data platform or data warehouse to another (e.g., Snowflake to Databricks, Databricks to…

Formats and executes dbt CLI commands, selects the correct dbt executable, and structures command parameters.

Diagnoses dbt Cloud/platform job failures by analyzing run logs, querying the Admin API, reviewing git history, and investigating data…

Builds and modifies dbt models, writes SQL transformations using ref() and source(), creates tests, and validates results with dbt show.