airflow-workflows
OfficialDesign robust data pipelines with Airflow.
Authortimequity
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides guidance for designing robust Airflow DAGs, selecting operators, and scheduling patterns to orchestrate data workflows reliably.
Core Features & Use Cases
- DAG Structure: Best practices for task grouping, dependencies, and retries.
- Operators & Tasks: Common Python, Bash, SQL operators and dynamic DAGs.
- Scheduling & Reliability: Idempotent tasks, templating, and sensors.
Quick Start
Create a daily_etl DAG using the recommended pattern, and run Airflow locally or in your environment to validate orchestration.
Dependency Matrix
Required Modules
None requiredComponents
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-workflows Download link: https://github.com/timequity/plugins/archive/main.zip#airflow-workflows Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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