Operate Airflow and warehouse workflows through agent-safe data engineering skills with Astronomer Agents

Give agents structured Airflow, lineage, dbt, and warehouse workflows through installable skills and an Airflow MCP surface instead of loose shell access.

Prerequisites

Python or uvx, Airflow 2.x or 3.x REST API access or Astro project, optional data warehouse credentials, MCP-compatible client or supported coding agent

Installation

Use the upstream install or setup path that matches your environment:

• npx skills add astronomer/agents --skill '*'
• npx skills add astronomer/agents --skill '*' -a cursor
• For open-source Airflow, use Docker Compose for local dev and the Helm chart for production (see deploying-airflow) instead of Astro setup skills.
• git clone https://github.com/astronomer/agents.git

Requirements and caveats from upstream:

• | deploying-airflow | Deploy Airflow DAGs and projects (Astro, Docker Compose, Kubernetes) |
• The account field requires your Snowflake account identifier (e.g., orgname-accountname or xy12345.us-east-1), not your account name. Find this in your Snowflake console under Admin > Accounts.

Basic usage or getting-started notes:

• <!-- DON'T EDIT THIS SECTION, INSTEAD RE-RUN doctoc TO UPDATE -->

• Quick Start

• Usage

• Source: https://github.com/astronomer/agents

• Extracted from upstream docs: https://raw.githubusercontent.com/astronomer/agents/HEAD/README.md

Documentation

• https://github.com/astronomer/agents

Source

• Agent Skill Exchange