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setting-up-astro-project

Initialize and configure Astro/Airflow projects using the Astro CLI.

419|61|Updated Jan 13, 2026
Search Tags:#dependencies#connections#airflow#astro#project-setup#variables#initialize
One-click install
npx skills add https://github.com/astronomer/agents --skill setting-up-astro-project
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: setting-up-astro-project
Source: https://github.com/astronomer/agents/tree/main/skills/setting-up-astro-project
Command: npx skills add https://github.com/astronomer/agents --skill setting-up-astro-project

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Initialize and configure Astro/Airflow projects to standardize setup and reduce boilerplate across teams.

Core Features & Use Cases

  • Initialize a new Astro/Airflow project structure with dags/ include/ plugins/ tests/ Dockerfile, packages.txt, requirements.txt, and airflow_settings.yaml.
  • Configure connections, variables, and pools via airflow_settings.yaml and prepare environments for local development or containerized deployments.
  • Use Case: Starting a new project for a data pipeline or Airflow deployment, then iteratively updating dependencies and settings as the project evolves.

Quick Start

Run astro dev init to create the project skeleton, then edit airflow_settings.yaml to configure connections and variables. Install dependencies by updating requirements.txt and restart the environment with astro dev restart as needed.

Frequently Asked Questions about setting-up-astro-project

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

FAQPage Schema
How do I initialize an Astro project with the correct Airflow directory structure?▼

To initialize an Astro project, run astro dev init to generate the standard Airflow directory skeleton, including dags/, include/, plugins/, tests/, and configuration files like Dockerfile and requirements.txt.

How do I configure Airflow connections and variables for local development?▼

You configure Airflow connections and variables by editing the airflow_settings.yaml file, which prepares your environment for local development or containerized deployments.

What is the best way to manage Python dependencies in an Airflow project?▼

Managing Python dependencies in an Airflow project involves updating the requirements.txt file, while system-level packages go into packages.txt, followed by restarting the environment with astro dev restart.

Does this project setup support containerized Airflow deployments?▼

Yes, the project setup supports containerized Airflow deployments by generating a Dockerfile and providing guided setup and validation steps for local or containerized environments.

Why does my Airflow environment need a restart after updating dependencies?▼

Your Airflow environment needs a restart after updating dependencies to apply the new packages defined in requirements.txt, which is done using the astro dev restart command.

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