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gcp-composer-troubleshooting

Generate RCA reports for Cloud Composer pipeline failures using gcloud logs and storage.

Updated Jun 5, 2026
Search Tags:#troubleshooting#root cause analysis#airflow#cloud composer#dag analysis
One-click install
npx skills add https://github.com/RxFit/hub-overlay --skill gcp-composer-troubleshooting-rxfit
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: gcp-composer-troubleshooting
Source: https://github.com/RxFit/hub-overlay/tree/main/hub/skills/gcp-composer-troubleshooting
Command: npx skills add https://github.com/RxFit/hub-overlay --skill gcp-composer-troubleshooting-rxfit

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill assists in diagnosing and resolving issues within Cloud Composer (Apache Airflow) pipelines, ensuring smooth operations and reducing downtime.

Core Features & Use Cases

  • Root Cause Analysis (RCA): Offers step-by-step guidance to identify the underlying cause of pipeline failures.
  • Log Analysis: Utilizes gcloud logging read to retrieve and analyze relevant logs.
  • Code Retrieval: Uses gcloud storage to download code from the environment for a comprehensive analysis.
  • Fix Proposal: Provides clear explanations and actionable fixes based on the RCA findings.
  • RCA Report Generation: Generates a detailed Root Cause Analysis report.
  • Use Case: If a user reports a failed DAG in their Cloud Composer environment, this Skill can be used to analyze the logs, retrieve the code, identify the root cause, and suggest a fix.

Quick Start

Analyze the failure in the DAG 'daily_sales_agg' from yesterday around 2pm using the gcp-composer-troubleshooting skill.

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 DAG in Cloud Composer?▼

You troubleshoot a failed Cloud Composer DAG by retrieving logs via gcloud logging read, downloading environment code with gcloud storage, and generating a Root Cause Analysis report to identify the failure cause and propose fixes.

What is the best way to perform root cause analysis for Apache Airflow pipeline failures?▼

Performing root cause analysis for Apache Airflow pipeline failures involves analyzing gcloud logs and downloaded DAG code to identify the underlying cause and generate a detailed RCA report with actionable fixes.

Do I need gcloud CLI access to analyze Cloud Composer logs?▼

Yes, analyzing Cloud Composer logs requires gcloud CLI access, as the troubleshooting process specifically executes gcloud logging read commands to retrieve relevant logs and gcloud storage to download code for debugging.

Can I retrieve Airflow DAG configurations from my Cloud Composer environment for debugging?▼

You can retrieve Airflow DAG configurations from your Cloud Composer environment for debugging by using gcloud storage commands to download the code directly from the environment for comprehensive analysis.

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