dbt Labs

Skills

9 in the Cursor listing

• Adding dbt unit testCreates unit test YAML definitions that mock upstream model inputs and validate expected outputs.
• Answering natural language questions with dbtWrites and executes SQL queries against the data warehouse using dbt's Semantic Layer or ad-hoc SQL to answer business questions.
• Building dbt semantic layerUse when creating or modifying dbt Semantic Layer components — semantic models, metrics, dimensions, entities, measures, or time spines.
• Configuring dbt mcp serverGenerates MCP server configuration JSON, resolves authentication setup, and validates server connectivity for dbt.
• Fetching dbt docsRetrieves and searches dbt documentation pages in LLM-friendly markdown format.
• Running dbt commandsFormats and executes dbt CLI commands, selects the correct dbt executable, and structures command parameters.
• Troubleshooting dbt job errorsDiagnoses dbt Cloud/platform job failures by analyzing run logs, querying the Admin API, reviewing git history, and investigating data issues.
• Using dbt for analytics engineeringBuilds and modifies dbt models, writes SQL transformations using ref() and source(), creates tests, and validates results with dbt show.
• Working with dbt meshImplements dbt Mesh governance features (model contracts, access modifiers, groups, versioning) and multi-project collaboration with cross-project refs.