authoring-dags
✓Workflow and best practices for writing Apache Airflow DAGs. Use when the user wants to create a new DAG, write pipeline code, or asks about DAG patterns and conventions. For testing and debugging DAGs, see the testing-dags skill.
Installation
SKILL.md
This skill guides you through creating and validating Airflow DAGs using best practices and the VS Code extension tools.
Use the Airflow VS Code extension tools for all Airflow operations. Avoid running Airflow CLI commands for listing DAGs, checking logs, or inspecting runs.
After the DAG is deployed to Airflow, validate via tools:
Workflow and best practices for writing Apache Airflow DAGs. Use when the user wants to create a new DAG, write pipeline code, or asks about DAG patterns and conventions. For testing and debugging DAGs, see the testing-dags skill. Source: necatiarslan/airflow-vscode-extension.
Facts (cite-ready)
Stable fields and commands for AI/search citations.
- Install command
npx skills add https://github.com/necatiarslan/airflow-vscode-extension --skill authoring-dags- Category
- >_Productivity
- Verified
- ✓
- First Seen
- 2026-02-11
- Updated
- 2026-02-18
Quick answers
What is authoring-dags?
Workflow and best practices for writing Apache Airflow DAGs. Use when the user wants to create a new DAG, write pipeline code, or asks about DAG patterns and conventions. For testing and debugging DAGs, see the testing-dags skill. Source: necatiarslan/airflow-vscode-extension.
How do I install authoring-dags?
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/necatiarslan/airflow-vscode-extension --skill authoring-dags 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/necatiarslan/airflow-vscode-extension
Details
- Category
- >_Productivity
- Source
- skills.sh
- First Seen
- 2026-02-11