Summary
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.
Install to Claude Code
npx -y skills add aradotso/data-skills --skill apache-airflow-orchestration --agent claude-codeInstalls into .claude/skills of the current project.
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Plug Mailtrap into your AI workflow and let it handle the email.
Connect Mailtrap MCP →Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
Try For Free →Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
Try For Free →Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
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