debugging-dags
Comprehensive DAG failure diagnosis and root-cause analysis with structured investigation and prevention recommendations. Use when deep failure investigation is needed, a DAG fails to import/parse or 'airflow dags list' errors on a file; a task or run is failing and must be diagnosed and fixed; requests like 'why did X fail', 'my dag keeps failing — find and fix it', or fixing a broken DAG so it loads cleanly. For simple 'why did it fail / show logs', the airflow skill handles it directly.
Install
With your agent
Install OMGSkills skill "astronomer/agents:debugging-dags" into this agent's normal skills directory: call the OMGSkills MCP get_install_plan tool for your agent and run the script it returns (it installs only the pinned commit and verifies SKILL.md), and stop if MCP or the pin is unavailable. Do not overwrite or change existing skills without asking me.
Manual command
git clone https://github.com/astronomer/agents /tmp/agents && ln -s /tmp/agents/skills/debugging-dags ~/.claude/skills/debugging-dags
From README
DAG Diagnosis You are a data engineer debugging a failed Airflow DAG. Follow this systematic approach to identify the root cause and provide actionable remediation. Running the CLI These commands assume af is on PATH. Run via astro otto to get it automatically, or standalone with uv tool astro-airflow-mcp.
