This one gives Claude the context to help you build and debug Apache Airflow DAGs without constantly checking docs. It covers the TaskFlow API decorator syntax (the modern way to write pipelines), common operators like BashOperator and BranchPythonOperator, and sensors for waiting on files or conditions. The examples show real patterns like XCom for passing data between tasks, dynamic templating with execution dates, and branching logic. Useful if you're orchestrating data pipelines and need quick answers on retry configs, dependency chains, or why your tasks aren't triggering. The Docker setup instructions are solid for getting a local instance running fast.
npx -y skills add aradotso/data-skills --skill apache-airflow-orchestration --agent claude-codeInstalls into .claude/skills of the current project.
Select a file.
sickn33/antigravity-awesome-skills
rohitg00/pro-workflow
supercent-io/skills-template