# blueprint

> Claude/Codex skill by [@astronomer](https://omgskills.com/library/astronomer/index.md) · 454 stars · 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.

Tags: agentic-workflow, agents, ai, ai-agents, airflow, apache-airflow, claude, cursor, dag, data-engineering, data-pipelines, dbt, llm, mcp, orchestrator, skills, workflow-automation, workflow-management, workflow-orchestration, workflows

## Install

```sh
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.

## Links

- HTML page: https://omgskills.com/skills/astronomer/agents/blueprint/
- GitHub: https://github.com/astronomer/agents
- Author: [@astronomer](https://omgskills.com/library/astronomer/index.md)

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