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etl-tools

Automate ETL and data orchestration workflows with Airflow, dbt, Prefect, and Dagster.

5|1|Updated Nov 18, 2025
Search Tags:#dbt#etl#airflow#data-pipelines#prefect#dagster
One-click install
npx skills add https://github.com/pluginagentmarketplace/custom-plugin-data-engineer --skill etl-tools
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: etl-tools
Source: https://github.com/pluginagentmarketplace/custom-plugin-data-engineer/tree/main/skills/etl-tools
Command: npx skills add https://github.com/pluginagentmarketplace/custom-plugin-data-engineer --skill etl-tools

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pyyaml, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill streamlines the creation and management of production-grade ETL and data orchestration pipelines using Airflow, dbt, Prefect, and Dagster, reducing development time and operational risk.

Core Features & Use Cases

  • Template-driven DAGs: Reusable patterns for common ETL workflows across teams.
  • Multi-tool orchestration: Integrates Airflow, dbt, Prefect, and Dagster to cover ingestion, transformation, and loading.
  • Use Case: Accelerate data warehouse launches by scaffolding pipelines, tests, and data quality checks with minimal setup.

Quick Start

Install the skill and review the included examples; then create a simple ETL DAG using the provided templates and run it in your environment.

Frequently Asked Questions about etl-tools

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I orchestrate ETL pipelines across Airflow, dbt, Prefect, and Dagster?▼

You can orchestrate ETL pipelines across Airflow, dbt, Prefect, and Dagster using template-driven DAGs. This Skill provides reusable patterns to automate ingestion, transformation, and loading workflows end-to-end, reducing development time and operational risk.

What is the best way to scaffold production data pipelines for a new data warehouse?▼

The best way to scaffold production data pipelines is using template-driven DAGs. This Skill accelerates data warehouse launches by scaffolding pipelines, tests, and data quality checks with minimal setup across multiple orchestration frameworks.

Do I need Python and SQL knowledge to use template-driven ETL workflows?▼

Yes, Python and SQL knowledge are required to use template-driven ETL workflows. This Skill automates production data orchestration and requires understanding of both languages to effectively manage ingestion, transformation, and loading operations.

Can I use this Skill for both analytics and ML data pipelines?▼

Yes, you can use this Skill for analytics and ML data pipelines. It automates end-to-end ETL and data orchestration workflows applied to production data pipelines across data engineering, analytics, and ML workflows.

How do I create a simple ETL DAG using provided templates?▼

To create a simple ETL DAG using provided templates, install the Skill and review the included examples. Then apply the reusable template patterns to scaffold your workflow and run it in your environment.

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