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airflow

Community

Master Airflow DAGs, KPOs, and debugging.

Data & Analytics#debugging#airflow#dag#data-pipelines#kubernetespodoperator#xcom
Authorpypeaday
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Airflow users struggle to design, debug, and migrate DAGs across Airflow 2.x and 3.x, including KubernetesPodOperator usage and XCom patterns.

Core Features & Use Cases

  • DAG Skeletons and patterns for Airflow 2.x and 3.x, with guidance on version-specific adjustments.
  • KubernetesPodOperator usage, operator selection, and task orchestration examples.
  • Debugging workflow: common failure modes, log inspection, and best practices for observability across environments.
  • Migration notes and anti-patterns: how to upgrade from 2.x to 3.x and avoid deprecated APIs.

Quick Start

  • Create a ready-to-use Airflow DAG template compatible with Airflow 2.x and 3.x, including a KubernetesPodOperator example and a debugging checklist.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: airflow
Download link: https://github.com/pypeaday/dotfiles/archive/main.zip#airflow

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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