authoring-dags
SkillWorkflow and best practices for writing Apache Airflow DAGs. Use when creating a new DAG, write pipeline code, handling questions about DAG patterns and conventions or extending an existing DAG with a follow-up/downstream task. ANY request shaped like 'add a DAG named X', 'write a pipeline', 'add a
Install
git clone https://github.com/astronomer/agents.git ~/.claude/skills/authoring-dagsWhat is authoring-dags?
Workflow and best practices for writing Apache Airflow DAGs. Use when creating a new DAG, write pipeline code, handling questions about DAG patterns and conventions or extending an existing DAG with a follow-up/downstream task. ANY request shaped like 'add a DAG named X', 'write a pipeline', 'add a task that runs after Y', or 'extend the DAG'. For testing and debugging DAGs, see the testing-dags skill.
What this can do
Capabilities declared in this component's own frontmatter — not inferred.
Inherit all session tools
Declares no tool restrictions — inherits every session tool
~101 tokens of context used while enabled, before you invoke anything
Trust
87/100 · Excellent2 factors scored below maximum
Documentation
README · ~4 min readDAG Authoring Skill
This skill guides you through creating and validating Airflow DAGs using best practices and af CLI commands.
For testing and debugging DAGs, see the testing-dags skill which covers the full test -> debug -> fix -> retest workflow.
Running the CLI
These commands assume af is on PATH. Run via astro otto to get it automatically, or install standalone with uv tool install astro-airflow-mcp.
Workflow Overview
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