authoring-dags
OfficialMaster Airflow DAGs with MCP-guided practices
Authorastronomer
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This skill provides a practical, MCP-first approach to authoring Airflow DAGs, helping teams write clean, maintainable pipelines and avoid common pitfalls.
Core Features & Use Cases
- Clear DAG structure guidance and best practices for TaskFlow APIs.
- Patterns for testing, debugging, and validating DAGs using recommended MCP tools.
- Use Case: a data team wants to convert a messy DAG folder into a standardized, robust set of DAGs with proper error handling and observability.
Quick Start
Ask the AI to review your current DAG and apply MCP-based authoring best practices.
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: authoring-dags Download link: https://github.com/astronomer/agents/archive/main.zip#authoring-dags Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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