airflow-dag-patterns
✓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.
Installation
SKILL.md
Production-ready patterns for Apache Airflow including DAG design, operators, sensors, testing, and deployment strategies.
Refer to resources/implementation-playbook.md for detailed patterns, checklists, and templates.
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. Source: sickn33/antigravity-awesome-skills.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/sickn33/antigravity-awesome-skills --skill airflow-dag-patterns Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor
Facts (cite-ready)
Stable fields and commands for AI/search citations.
- Install command
npx skills add https://github.com/sickn33/antigravity-awesome-skills --skill airflow-dag-patterns- Category
- {}Data Analysis
- Verified
- ✓
- First Seen
- 2026-02-01
- Updated
- 2026-02-18
Quick answers
What is airflow-dag-patterns?
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. Source: sickn33/antigravity-awesome-skills.
How do I install airflow-dag-patterns?
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/sickn33/antigravity-awesome-skills --skill airflow-dag-patterns Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor
Where is the source repository?
https://github.com/sickn33/antigravity-awesome-skills
Details
- Category
- {}Data Analysis
- Source
- skills.sh
- First Seen
- 2026-02-01