gcp-composer-troubleshooting

Troubleshoot failed Cloud Composer Airflow pipelines using gcloud commands for root cause analysis.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/rose4320/Eldonia-Nex --skill gcp-composer-troubleshooting-rose4320
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: gcp-composer-troubleshooting
Source: https://github.com/rose4320/Eldonia-Nex/tree/main/.cursor/skills/gcp-composer-troubleshooting
Command: npx skills add https://github.com/rose4320/Eldonia-Nex --skill gcp-composer-troubleshooting-rose4320

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires gcloud, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill addresses issues in Cloud Composer (Apache Airflow) pipelines, facilitating Root Cause Analysis (RCA), troubleshooting failed pipelines, and fixing DAG failures.

Core Features & Use Cases

  • Root Cause Analysis: Offers step-by-step instructions to perform detailed RCA for Cloud Composer/Airflow issues.
  • Log Analysis: Utilizes gcloud tools to fetch and analyze logs for identifying issues.
  • Code Retrieval: Helps in retrieving actual code running in the environment to validate and understand the failure.
  • RCA Report Generation: Produces detailed RCA reports for documentation and review.
  • Use Case: If a user's DAG in Composer environment is failing and they need assistance to determine the cause and potential fix.

Quick Start

Utilize the gcp-composer-troubleshooting skill to identify and fix a failed Airflow DAG by providing the DAG ID, Run ID, and Task ID.

Frequently Asked Questions about gcp-composer-troubleshooting

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

FAQPage Schema
How do I troubleshoot a failed Airflow DAG in Cloud Composer?

To troubleshoot a failed Cloud Composer Airflow DAG, provide the DAG ID, Run ID, and Task ID to retrieve execution logs and validate the actual code running in the environment for diagnosis.

What is the best way to perform root cause analysis on malfunctioning Airflow pipelines?

Performing root cause analysis on malfunctioning Airflow pipelines involves a systematic process using gcloud commands to fetch logs, inspect the running code, and generate a detailed RCA report for resolution.

Can I retrieve the actual Airflow code running in a Cloud Composer environment to diagnose failures?

Yes, you can retrieve the actual Airflow code running in a Cloud Composer environment to validate and understand pipeline failures by utilizing gcloud tools during the troubleshooting process.

Do I need gcloud to analyze Cloud Composer logs for pipeline failures?

Yes, you need gcloud to analyze Cloud Composer logs because the troubleshooting process utilizes gcloud tools to fetch and analyze execution logs for identifying pipeline issues.

What should I provide to start diagnosing a failing Cloud Composer pipeline?

To start diagnosing a failing Cloud Composer pipeline, you should provide the specific DAG ID, Run ID, and Task ID to initiate the systematic root cause analysis process.

How does RCA report generation work for Cloud Composer issues?

RCA report generation for Cloud Composer issues works by compiling the findings from log analysis and code retrieval into detailed documentation for review after diagnosing the malfunctioning Airflow pipeline.