managing-astro-local-env

📁 astronomer/agents 📅 Jan 23, 2026
177
总安装量
177
周安装量
#1504
全站排名
安装命令
npx skills add https://github.com/astronomer/agents --skill managing-astro-local-env

Agent 安装分布

claude-code 115
opencode 105
codex 102
github-copilot 100
cursor 91
gemini-cli 88

Skill 文档

Astro Local Environment

This skill helps you manage your local Airflow environment using the Astro CLI.

To set up a new project, see the setting-up-astro-project skill. When Airflow is running, use MCP tools from authoring-dags and testing-dags skills.


Start / Stop / Restart

# Start local Airflow (webserver at http://localhost:8080)
astro dev start

# Stop containers (preserves data)
astro dev stop

# Kill and remove volumes (clean slate)
astro dev kill

# Restart all containers
astro dev restart

# Restart specific component
astro dev restart --scheduler
astro dev restart --webserver

Default credentials: admin / admin

Restart after modifying: requirements.txt, packages.txt, Dockerfile


Check Status

astro dev ps

View Logs

# All logs
astro dev logs

# Specific component
astro dev logs --scheduler
astro dev logs --webserver

# Follow in real-time
astro dev logs -f

Access Container Shell

# Bash into scheduler container
astro dev bash

# Run Airflow CLI commands
astro dev run airflow info
astro dev run airflow dags list

Troubleshooting

Issue Solution
Port 8080 in use Stop other containers or edit .astro/config.yaml
Container won’t start astro dev kill then astro dev start
Package install failed Check requirements.txt syntax
DAG not appearing Run astro dev parse to check for import errors
Out of disk space docker system prune

Reset Environment

When things are broken:

astro dev kill
astro dev start

Upgrade Airflow

Test compatibility first

astro dev upgrade-test

Change version

  1. Edit Dockerfile:

    FROM quay.io/astronomer/astro-runtime:13.0.0
    
  2. Restart:

    astro dev kill && astro dev start
    

Related Skills

  • setting-up-astro-project: Initialize projects and configure dependencies
  • authoring-dags: Write DAGs (uses MCP tools, requires running Airflow)
  • testing-dags: Test DAGs (uses MCP tools, requires running Airflow)