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Deploying Airflow

Listed
astronomer·vlatest·data·Apache-2.0

This skill automates Airflow deployment, streamlining workflows and ensuring consistent environments for your data pipelines.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add astronomer/agents --skill deploying-airflow -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

astronomer

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • No undeclared network calls: failed

    Contacts 1 host that is neither well-known infrastructure nor declared in the skill's frontmatter: airflow.apache.org.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

    Hosts contacted

    airflow.apache.orgundeclared

    What it found

    • skills/deploying-airflow/SKILL.md:107contacts airflow.apache.org
      curl -LfO 'https://airflow.apache.org/docs/apache-airflow/stable/docker-compose.yaml'

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned astronomer/agents at cbe1141f54.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
cbe1141f54
Manifest
skills/deploying-airflow/SKILL.md
Scanned
1 file, 410 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill automates the deployment of Airflow DAGs and projects, streamlining workflows and ensuring consistent environments for your data pipelines. It supports both Astronomer's managed platform (Astro) and open-source Airflow deployments using Docker Compose or Kubernetes. The skill provides commands to deploy entire projects, just DAG files, only the Docker image, or dbt projects alongside Airflow.

When to use it

  • When you need to quickly iterate on DAG file changes without rebuilding the entire Docker image.
  • For production releases requiring a full project deployment including dependencies and configurations.
  • In multi-repository CI/CD setups where images and DAGs are deployed independently.
  • To deploy dbt projects alongside Airflow for data transformation workflows within Cosmos (on Astro).

Key capabilities

  • Astro Deployment Commands: astro deploy, astro deploy --dags, astro deploy --image, astro deploy --dbt.
  • DAG-Only Deployments: Fast deployments that only push DAG files.
  • Image-Only Deployments: Pushes the Docker image without updating DAGs.
  • GitHub Integration: Automated deployments triggered by branch merges (e.g., main -> production).
  • Deploy Queue: Manages sequential deployment processing when multiple deploys are triggered.
  • Open-Source Deployment Support: Provides guidance for deploying Airflow using Docker Compose and Kubernetes.

Example prompts

  • "Deploy the current project to Astro."
  • "Push only the DAG files without rebuilding the image."
  • "Deploy the dbt project alongside Airflow on Astro."

Tips & gotchas

  • For managed operations and faster CI/CD, use Astronomer's Astro platform.
  • Use astro deploy --dags when you’ve only changed DAG files to avoid rebuilding the Docker image.
  • Docker Compose is suitable for learning and exploration; Kubernetes with a Helm chart is recommended for production open-source Airflow deployments.