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Skill

blueprint

@astronomer Updated 2026-10-14

Define reusable Airflow task group templates with Pydantic validation and compose DAGs from YAML. Use when creating blueprint templates, composing DAGs from YAML, declaring shared variables or per-environment profiles, validating configurations, sharing templates as an installable package, or enabling no-code DAG authoring for non-engineers.

agentic-workflowagentsaiai-agentsairflowapache-airflowclaudecursor

Install

With your agent

Install OMGSkills skill "astronomer/agents:blueprint" into this agent's normal skills directory: call the OMGSkills MCP get_install_plan tool for your agent and run the script it returns (it installs only the pinned commit and verifies SKILL.md), and stop if MCP or the pin is unavailable. Do not overwrite or change existing skills without asking me.

Manual command

git clone https://github.com/astronomer/agents /tmp/agents && ln -s /tmp/agents/skills/blueprint ~/.claude/skills/blueprint

From README

Blueprint Implementation You are helping a user work with Blueprint, a system for composing Airflow DAGs from YAML using reusable Python templates. Execute steps in order and prefer the simplest configuration that meets the user's needs. Package: airflow-blueprint on PyPI — this skill documents 0.5.0 Repo: https://github.com/astronomer/blueprint Requires: Python 3.10+, Airflow 2.5+ Cross-references: the airflow skill for Astro CLI, registry, and REST API discovery commands; authoring-dags or dag-factory when the user needs full Airflow flexibility instead of validated templates.