Diagnose Airflow DAG failures and identify root causes across pipelines.
npx skills add https://github.com/astronomer/agents --skill debugging-dags
Please help me install this Agent Skill. Skill: debugging-dags Source: https://github.com/astronomer/agents/tree/main/skills/debugging-dags Command: npx skills add https://github.com/astronomer/agents --skill debugging-dags
This Skill helps data engineers diagnose Airflow DAG failures and perform structured root-cause analysis, enabling faster remediation and more reliable pipelines.
To begin, provide the failing DAG ID and optional dag_run_id to initiate the diagnosis. Then, ask for a detailed root cause report or remediation plan.
High-intent search queries and answers about installing and using this skill.
To diagnose Airflow DAG failures, this Skill inspects task logs, analyzes task states, and reviews upstream changes to pinpoint the root cause. It delivers a structured investigation workflow that yields actionable remediation steps to prevent future pipeline issues.
The best way to debug intermittent Airflow pipeline failures is to trace them back to upstream tasks using task state analysis and recent change reviews. This identifies the specific intermittent trigger and proposes concrete remediation steps to restore pipeline health.
To start root-cause-analysis for a failed DAG run, provide the failing DAG ID and optional dag_run_id. The system uses these inputs to initiate a structured investigation of your Airflow logs and task states to generate a detailed remediation plan.
You can use it for both ongoing pipeline health monitoring and ad-hoc failure investigations. The structured investigation steps apply to continuous task state analysis and log inspection, ensuring repeatable procedures for diagnosing complex Airflow pipelines.
Pipeline-debugging for complex DAGs involves log inspection, task state analysis, and upstream change review when failures occur. It systematically identifies failure points and provides recommended fixes to prevent the same pipeline issues from recurring.
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