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debugging-dags

Diagnose failing Apache Airflow DAG runs and produce root-cause analyses.

2|Updated Apr 8, 2026
Search Tags:#root cause analysis#observability#data engineering#airflow#pipeline failures#incident prevention#dag debugging
One-click install
npx skills add https://github.com/miptah21/skills --skill debugging-dags-miptah21
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: debugging-dags
Source: https://github.com/miptah21/skills/tree/main/.agents/skills/debugging-dags
Command: npx skills add https://github.com/miptah21/skills --skill debugging-dags-miptah21

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps you quickly determine why an Airflow DAG is failing and what to change so the same issue does not recur.

Core Features & Use Cases

  • Structured DAG Failure Triage: Pinpoints the failing DAG run and task by using Airflow/astro-airflow tooling to surface the real exception.
  • Root Cause Categorization: Classifies failures into data, code, infrastructure, or dependency issues to guide the right fix path.
  • Remediation + Prevention Plan: Produces an actionable output with root cause, impact assessment, immediate fix steps, and prevention recommendations (including quick operational commands).

Quick Start

Ask for a comprehensive root cause analysis for a specific Airflow DAG failure including the failing task’s exception, impact on downstream steps, and concrete remediation plus prevention actions.

Frequently Asked Questions about debugging-dags

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I diagnose failing Apache Airflow DAG runs and find the root cause?▼

To diagnose failing Airflow DAG runs, this Skill extracts the real task exception using Astro Airflow command tooling, categorizes the failure type, and assembles a structured root-cause analysis with immediate remediation steps.

What is the best way to prevent recurring Airflow pipeline failures?▼

Preventing recurring Airflow pipeline failures requires categorizing the issue and applying targeted fixes. This Skill generates actionable prevention guidance and quick operational commands to stop repeat incidents.

How do I troubleshoot Airflow task exceptions beyond basic log viewing?▼

For deep Airflow task troubleshooting beyond basic logs, this Skill assesses context like recent changes and data volume shifts, then compares failed runs to recent successes to pinpoint exact failures.

Can I use this to categorize Airflow DAG failures into data, code, or infrastructure issues?▼

Yes, you can use this to categorize Airflow DAG failures. It classifies exceptions into data, code, infrastructure, or dependency issues to guide the correct remediation path and impact assessment.

Do I need Astro CLI to investigate Airflow DAG failures with this approach?▼

Yes, investigating Airflow DAG failures with this approach requires Astro Airflow command tooling. It uses uvx and af commands to gather run and task logs needed for structured root-cause analysis.

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