Does this skill help with dbt documentation?

Yes, it includes steps for 'dbt docs generate' to ensure documentation artifacts are consistently created for comparison tools and static hosting.

What package managers are supported by this skill?

This skill provides configuration templates for both standard pip and the high-performance uv package manager.

Do I need a baseline manifest to use state-based selection?

Yes, for incremental builds, you must provide a path to a baseline manifest.json file using the --state flag to compare current changes against a known state.

Can I use this for production deployments?

Yes. The skill provides 'Full Build' templates specifically designed for production baselines where all models and documentation need to be refreshed.

How does this skill optimize CI run times?

It uses dbt's state-based selection (e.g., state:modified+) to only build and test models that have changed, along with their downstream dependencies, reducing compute time.

dbt CI & CD Workflows

Name: dbt CI & CD Workflows
Author: DataRecce

byDataRecce

•

Deployment & DevOps

Automates the generation of GitHub Actions workflows for dbt projects using optimized state-based selection and build patterns.

The dbt-ci skill streamlines the creation of CI/CD pipelines for data engineering teams using dbt. It provides ready-to-use GitHub Actions templates for both full production deployments and incremental pull request checks, utilizing advanced state-based selection logic to minimize compute costs and execution time. By supporting both uv and pip package managers, it helps developers quickly configure robust testing, building, and documentation generation steps while maintaining best practices for state management and model dependencies.

Key Features

012 GitHub stars

02Supports both uv and pip Python environment management

03Includes automated dbt documentation generation steps

04Generates GitHub Actions YAML snippets for full and incremental dbt builds

05Implements state-based selection (state:modified+) for efficient CI runs

06Configures environment-specific dbt targets and profile settings

Use Cases

01Optimizing CI pipelines to only run models modified in the current branch

02Building a production deployment pipeline that updates the entire data project

03Setting up automated testing for dbt models in Pull Requests

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add datarecce/recce-claude-plugin dbt-ci

For use in Claude.ai and ChatGPT

Download Skill