Individual skill
blueprint
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.
skills/blueprint/SKILL.md
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- Last checked
- Nov 6, 2026
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- Nov 2, 2026
- License
- Apache-2.0
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- agents Repository topic
- ai Repository topic
- airflow Repository topic
- data-engineering Repository topic
- mcp Repository topic
- skills Repository topic
- claude Repository topic
- cursor Repository topic
- apache-airflow Repository topic
- agentic-workflow Repository topic
- engineering Derived category
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Read excerpt
# 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.
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## Determine What the User Needs
| User Request | Action |