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.
Quickly install airflow-dag-patterns AI skill to your development environment via command line
Source: dodatech/approved-skills.
Production-ready patterns for Apache Airflow including DAG design, operators, sensors, testing, and deployment strategies.
| Idempotent | Running twice produces same result | | Atomic | Tasks succeed or fail completely | | Incremental | Process only new/changed data | | Observable | Logs, metrics, alerts at every step |
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: dodatech/approved-skills.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/dodatech/approved-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, Cursor, or OpenClaw
Stable fields and commands for AI/search citations.
npx skills add https://github.com/dodatech/approved-skills --skill airflow-dag-patternsBuild 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: dodatech/approved-skills.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/dodatech/approved-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, Cursor, or OpenClaw
https://github.com/dodatech/approved-skills