How do I resolve database connection problems?

It offers a dedicated operation to verify DATABASE_URL environment variables, test connectivity via the CLI, and troubleshoot connection pool exhaustion.

How does this skill help with Railway deployment failures?

It provides a systematic workflow to analyze deployment logs, check port bindings (PORT env var), and verify health check endpoints to identify why a service is failing to start.

Does it support private networking issues?

It covers service discovery, internal DNS resolution using Railway's internal domain names, and port configuration to ensure services can communicate securely.

Can it help with Out of Memory (OOM) errors?

Yes, it includes specific procedures for diagnosing exit code 137, identifying memory leaks, and recommending resource limit adjustments.

What build systems does it assist with?

The skill helps troubleshoot Nixpacks provider detection, dependency installation failures (npm, pip, etc.), and custom build command configurations in railway.toml.

Railway Troubleshooting & Debugging

Name: Railway Troubleshooting & Debugging
Author: adaptationio

byadaptationio

0•

Deployment & DevOps

Diagnoses and resolves Railway.com deployment issues, runtime crashes, and networking problems through systematic diagnostic workflows.

This skill provides a comprehensive framework for identifying and fixing issues on the Railway.com platform. It empowers Claude with systematic decision trees for deployment failures, runtime crash analysis (including OOM errors), networking and service discovery troubleshooting, and database connectivity resolution. By leveraging these diagnostic workflows and recovery procedures, users can quickly identify root causes for build errors, configuration mismatches, and performance degradation to restore service health efficiently.

Key Features

01Deployment and build failure diagnosis for Nixpacks and custom configurations

02Runtime crash analysis including memory leak and exit code detection

03Database connection and performance optimization workflows

040 GitHub stars

05Systematic decision trees for rapid issue identification

06Networking and service discovery troubleshooting for private project networks

Use Cases

01Fixing 'Port not bound' or health check failures during service deployment

02Resolving 'Exit code 137' (Out of Memory) and service restart loops

03Debugging inter-service communication and DNS resolution within Railway projects

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add adaptationio/skrillz railway-troubleshooting

For use in Claude.ai and ChatGPT

Download Skill