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apache-airflow-orchestration

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Automate complex workflows, effortlessly.

Data & Analytics#workflow automation#data pipeline#orchestration#data engineering#scheduling#etl#airflow
Authormanutej
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Managing and scheduling complex data pipelines and operational workflows can be a significant challenge. This Skill provides comprehensive guidance on Apache Airflow, enabling you to define, schedule, and monitor workflows as code, ensuring reliable and automated execution.

Core Features & Use Cases

  • Workflow as Code: Define pipelines using Python, making them version-controlled, testable, and maintainable.
  • Dynamic Task Generation: Create flexible workflows that adapt to changing data or business logic.
  • Robust Scheduling & Monitoring: Schedule tasks with precision and gain full visibility into execution status and dependencies.
  • Use Case: Orchestrate a daily ETL process that extracts data from multiple sources, transforms it, loads it into a data warehouse, and triggers downstream reporting dashboards, all with automated retries and alerts.

Quick Start

Use the apache-airflow-orchestration skill to create a simple DAG that runs a Python script to print "Hello Airflow" every hour.

Dependency Matrix

Required Modules

apache-airflowpendulum

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: apache-airflow-orchestration
Download link: https://github.com/manutej/luxor-claude-marketplace/archive/main.zip#apache-airflow-orchestration

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