airflow-dag-patterns
Description
Build production Apache Airflow DAGs with best practices for operators, sensors, testing, and deployment.
How to Use
- Visit the GitHub repository to get the SKILL.md file
- Copy the file to your project root or .cursor/rules directory
- Restart your AI assistant or editor to apply the new skill
Full Skill Documentation
name
airflow-dag-patterns
description
Build production Apache Airflow DAGs with best practices for operators, sensors, testing, and deployment. Use when creating data pipelines, orchestrating workflows, or scheduling batch jobs.
Tags
About airflow-dag-patterns
airflow-dag-patterns is an AI skill in the devops category, designed to help developers and users work more effectively with AI tools. Build production Apache Airflow DAGs with best practices for operators, sensors, testing, and deployment.
This skill has earned 5,200 stars on GitHub, reflecting strong community adoption and trust. It is compatible with claude, codex.
Key Capabilities
Why Use airflow-dag-patterns
Adding airflow-dag-patterns to your AI workflow can significantly enhance your productivity in devops tasks. With pre-defined prompt templates and best practices, this skill helps AI assistants better understand your requirements and deliver more accurate responses.
Whether you use claude or codex, you can easily integrate this skill into your existing development environment.
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