AI Agent Skills

dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.

:fishing_pole_and_fish: List of `pre-commit` hooks to ensure the quality of your `dbt` projects.

Provides automated YAML management and a streamlit workbench. Designed to optimize dev workflows.

dbt + Metabase integration

A dbt adapter for Databricks.

CLI tool for dbt users to simplify creation of staging models (yml and sql) files

Make dbt great again! Extend dbt with plugins, local docs and custom adapters — fast, safe, and developer-friendly

dbt Cloud Terraform Provider

dbt-prql allows writing PRQL in dbt models

Showcase of advanced use cases relating to CI in dbt

dbt package mimicking dplyr select-helpers semantics

re_data - fix data issues before your users & CEO would discover them 😊

A curated collection of Agent Skills for working with dbt, to help AI agents understand and execute dbt workflows more effectively.

Creates unit test YAML definitions that mock upstream model inputs and validate expected outputs. Use when adding unit tests for a dbt model or practicing test-driven de…

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

Audits dbt documentation coverage and drafts missing model/column descriptions in the project's own house style, one folder at a time, for human review. Use when documen…