How does it handle complex dependencies?

It covers branching logic using BranchPythonOperator, sensors for external file/API availability, and ExternalTaskSensors for cross-DAG dependencies.

Does this skill support Airflow 2.x?

Yes, it specifically focuses on modern Airflow 2.0+ features like the TaskFlow API, decorators, and updated provider packages.

Does it include testing patterns?

Yes, it provides standardized approaches for unit testing DAGs with pytest to ensure they load correctly and follow design principles.

Can it help with error handling in production?

Absolutely. It includes patterns for task-level failure callbacks, DAG-level alerts, and sophisticated trigger rules for cleanup tasks.

Airflow DAG Patterns

Name: Airflow DAG Patterns
Author: nguyendinhquocx

bynguyendinhquocx

0•

데이터 과학 및 ML

Architects production-ready Apache Airflow pipelines using best practices for orchestration, sensors, and error handling.

This skill provides a comprehensive library of patterns and best practices for building robust data pipelines with Apache Airflow. It enables Claude to generate idempotent and atomic DAGs, implement modern TaskFlow API structures, and handle complex scenarios like dynamic DAG generation, conditional branching, and external dependencies. Whether you are setting up local testing or deploying to a production environment, this skill ensures your workflows are observable, scalable, and easy to debug through standardized error handling and alerting patterns.

주요 기능

01Standardized testing frameworks for validating DAG loading and logic

02Advanced orchestration techniques including branching, sensors, and external task dependencies

03Implementation of TaskFlow API (Airflow 2.0+) for cleaner Python-based workflows

04Dynamic DAG generation patterns for managing multiple similar pipelines at scale

050 GitHub stars

06Robust error handling strategies with failure callbacks and custom retry logic

사용 사례

01Migrating legacy Airflow codebases to modern TaskFlow API and best practices

02Building idempotent ETL/ELT pipelines for production data lakes and warehouses

03Automating complex business workflows with cross-DAG dependencies and conditional logic

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add nguyendinhquocx/code-ai airflow-dag-patterns

For use in Claude.ai and ChatGPT

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