managing-astro-local-env

Manage local Apache Airflow environments using Astro CLI commands.

2|Updated Apr 8, 2026
One-click install
npx skills add https://github.com/miptah21/skills --skill managing-astro-local-env-miptah21
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: managing-astro-local-env
Source: https://github.com/miptah21/skills/tree/main/.agents/skills/managing-astro-local-env
Command: npx skills add https://github.com/miptah21/skills --skill managing-astro-local-env-miptah21

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill eliminates the confusion and downtime involved in starting, stopping, and debugging a local Apache Airflow environment by giving a consistent set of Astro CLI commands for both Docker and standalone setups.

Core Features & Use Cases

  • Local Airflow lifecycle control: start, stop, restart, or fully reset local Airflow using Astro dev commands.
  • Log-driven troubleshooting: inspect scheduler/webserver logs and diagnose common startup and environment issues.
  • API-based operational checks: query a running Airflow instance (DAGs, DAG runs, task instances, config/variables/connections) to validate behavior.
  • Use case: you need Airflow running locally to test a DAG change, then quickly verify import status, pause/unpause a DAG, and inspect failed task instances without guessing.

Quick Start

Start local Airflow in Docker mode by running astro dev start.

Frequently Asked Questions about managing-astro-local-env

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

FAQPage Schema
How do I start and stop a local Airflow environment using Astro CLI?

You can troubleshoot Airflow startup issues by inspecting scheduler and webserver logs via Astro CLI, diagnosing common environment problems, and recovering from port or proxy conflicts using deterministic operational commands and safe override flags.

Can I query the Airflow REST API to check DAG and task instance status locally?

Yes, you can query a running local Airflow instance via the REST API to validate DAGs, DAG runs, task instances, and configurations, allowing you to verify import status, pause or unpause DAGs, and inspect failed tasks directly.

Does this Astro CLI workflow support both Docker and standalone Airflow setups?

Yes, the Astro CLI manages local Apache Airflow environments in both Docker and standalone modes, providing consistent state and config locations, deterministic operational commands, and safe defaults for development and troubleshooting across both setups.

What is the best way to reset a local Airflow environment when testing DAG changes?

The best way to reset your local Airflow environment is using Astro dev commands to fully restart or reset the instance, ensuring a clean state for testing DAG changes and validating behavior through API queries and log inspection.