Can I run specific layers of my data project?

Absolutely. You can filter executions based on model names, directory paths, or custom tags to target specific layers like staging, marts, or reporting.

Does it support dbt packages like dbt-utils?

Yes, it is fully compatible with popular ecosystem packages including dbt-utils, dbt-codegen, and dbt-expectations for advanced testing and utility macros.

How does the skill handle failed DBT models?

The skill uses intelligent selection commands like '+state:failed+' to identify and retry only the specific models that failed in previous runs, significantly reducing compute time.

What diagnostic checks are performed before running?

The skill validates your dbt_project.yml and profiles.yml, checks database connectivity, and ensures model directory structures are intact before initiating a run.

DBT Job Runner

Name: DBT Job Runner
Author: nerver111

bynerver111

0•

Database Management

Executes and monitors DBT projects with intelligent error handling, performance analysis, and automated model retries.

The DBT Job Runner skill empowers data engineers to manage their dbt transformation pipelines directly through Claude Code. It automates the entire execution lifecycle, from initial project health diagnostics to real-time progress monitoring and performance reporting. By supporting flexible run scopes—such as full builds, specific tags, or incremental model selections—it streamlines data development workflows. The skill also features built-in intelligence for handling failures through state-based retries and integrates seamlessly with popular dbt ecosystem tools like dbt-codegen and dbt-expectations for enhanced data quality and automated code generation.

Key Features

01Native support for dbt-codegen, dbt-utils, and dbt-expectations

02Intelligent failure recovery with state-based retry logic

03Real-time execution monitoring and performance metrics tracking

040 GitHub stars

05Flexible run scope selection including models, tags, and paths

06Comprehensive project health diagnostics for configurations and connections

Use Cases

01Generating boilerplate dbt code and schema YAML files using codegen operations

02Monitoring and debugging data quality issues through advanced testing frameworks

03Running and testing complex data transformation pipelines with automated error recovery

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add nerver111/git-skill-test dbt-job-runner

For use in Claude.ai and ChatGPT

Key Features

01Native support for dbt-codegen, dbt-utils, and dbt-expectations

02Intelligent failure recovery with state-based retry logic

03Real-time execution monitoring and performance metrics tracking

040 GitHub stars

05Flexible run scope selection including models, tags, and paths

06Comprehensive project health diagnostics for configurations and connections

Use Cases

01Generating boilerplate dbt code and schema YAML files using codegen operations

02Monitoring and debugging data quality issues through advanced testing frameworks

03Running and testing complex data transformation pipelines with automated error recovery

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add nerver111/git-skill-test dbt-job-runner

For use in Claude.ai and ChatGPT