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Is Setting Up Astro Project free to use?

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Who published Setting Up Astro Project?

tools-only (@tools-only) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Setting Up Astro Project by tools-only

Name: Setting Up Astro Project
Rating: 4.2 (5 reviews)
Author: tools-only

Setting Up Astro Project

Initialize and configure Astro/Airflow projects. Use when the user wants to create a new project, set up dependencies, configure connections/variables, or understand project structure. For running the local environment, see managing-astro-local-env.

tools-only 129710b 3 files · 5.9 KB Updated Sep 9, 2026 7 repo stars

File contents

Astro Project Setup

This skill helps you initialize and configure Airflow projects using the Astro CLI.

To run the local environment, see the managing-astro-local-env skill. To write DAGs, see the authoring-dags skill.

Initialize a New Project

astro dev init

Creates this structure:

project/
├── dags/                # DAG files
├── include/             # SQL, configs, supporting files
├── plugins/             # Custom Airflow plugins
├── tests/               # Unit tests
├── Dockerfile           # Image customization
├── packages.txt         # OS-level packages
├── requirements.txt     # Python packages
└── airflow_settings.yaml # Connections, variables, pools

Adding Dependencies

Python Packages (requirements.txt)

apache-airflow-providers-snowflake==5.3.0
pandas==2.1.0
requests>=2.28.0

OS Packages (packages.txt)

gcc
libpq-dev

Custom Dockerfile

For complex setups (private PyPI, custom scripts):

FROM quay.io/astronomer/astro-runtime:12.4.0

RUN pip install --extra-index-url https://pypi.example.com/simple my-package

After modifying dependencies: Run astro dev restart

Configuring Connections & Variables

airflow_settings.yaml

Loaded automatically on environment start:

airflow:
  connections:
    - conn_id: my_postgres
      conn_type: postgres
      host: host.docker.internal
      port: 5432
      login: user
      password: pass
      schema: mydb

  variables:
    - variable_name: env
      variable_value: dev

  pools:
    - pool_name: limited_pool
      pool_slot: 5

Export/Import

# Export from running environment
astro dev object export --connections --file connections.yaml

# Import to environment
astro dev object import --connections --file connections.yaml

Validate Before Running

Parse DAGs to catch errors without starting the full environment:

astro dev parse

Related Skills

managing-astro-local-env: Start, stop, and troubleshoot the local environment
authoring-dags: Write and validate DAGs (uses MCP tools)
testing-dags: Test DAGs (uses MCP tools)

---name: setting-up-astro-projectdescription: Initialize and configure Astro/Airflow projects. Use when the user wants to create a new project, set up dependencies, configure connections/variables, or understand project structure. For running the local environment, see managing-astro-local-env.--- # Astro Project Setup This skill helps you initialize and configure Airflow projects using the Astro CLI. > **To run the local environment**, see the **managing-astro-local-env** skill. > **To write DAGs**, see the **authoring-dags** skill. --- ## Initialize a New Project ```bash astro dev init ``` Creates this structure: ``` project/ ├── dags/ # DAG files ├── include/ # SQL, configs, supporting files ├── plugins/ # Custom Airflow plugins ├── tests/ # Unit tests ├── Dockerfile # Image customization ├── packages.txt # OS-level packages ├── requirements.txt # Python packages └── airflow_settings.yaml # Connections, variables, pools ``` --- ## Adding Dependencies ### Python Packages (requirements.txt) ``` apache-airflow-providers-snowflake==5.3.0 pandas==2.1.0 requests>=2.28.0 ``` ### OS Packages (packages.txt) ``` gcc libpq-dev ``` ### Custom Dockerfile For complex setups (private PyPI, custom scripts): ```dockerfile FROM quay.io/astronomer/astro-runtime:12.4.0 RUN pip install --extra-index-url https://pypi.example.com/simple my-package ``` **After modifying dependencies:** Run `astro dev restart` --- ## Configuring Connections & Variables ### airflow_settings.yaml Loaded automatically on environment start: ```yaml airflow: connections: - conn_id: my_postgres conn_type: postgres host: host.docker.internal port: 5432 login: user password: pass schema: mydb variables: - variable_name: env variable_value: dev pools: - pool_name: limited_pool pool_slot: 5 ``` ### Export/Import ```bash # Export from running environment astro dev object export --connections --file connections.yaml # Import to environment astro dev object import --connections --file connections.yaml ``` --- ## Validate Before Running Parse DAGs to catch errors without starting the full environment: ```bash astro dev parse ``` --- ## Related Skills - **managing-astro-local-env**: Start, stop, and troubleshoot the local environment - **authoring-dags**: Write and validate DAGs (uses MCP tools) - **testing-dags**: Test DAGs (uses MCP tools)

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