Skill Detail
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.
Data Extraction & TransformationMCP
Data Extraction & Transformation
MCP
Security Reviewed
⭐ 337 GitHub stars
INSTALL WITH ANY AGENT
npx skills add agentskillexchange/skills --skill operate-airflow-and-warehouse-workflows-through-agent-safe-data-engineering-skills-with-astronomer-agents
Works best when you want a reusable capability, not another fragile one-off prompt.
At a glance
Tools required
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
Install & setup
Install the skills with `npx skills add astronomer/agents –skill '*'` for a supported coding agent, or run the Airflow MCP server with `uvx astro-airflow-mcp –transport stdio` and configure it in your MCP client.
Author
Astronomer
Publisher
Organization
Last updated
Apr 22, 2026
Quick brief
Use Astronomer Agents when an agent needs structured help with Airflow operations, DAG authoring and debugging, warehouse analysis, or dbt-adjacent data engineering tasks. Invoke this instead of using Airflow, dbt, or raw terminal access normally when the job needs agent-facing tools, installable skills, and an Airflow MCP server rather than freeform commands. The scope boundary is specific: agent-safe Airflow and warehouse workflow execution for data engineering, not a generic orchestration platform or product listing.