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Agent Skill · 研究检索

railway-troubleshooting(铁路故障排除)

railway-troubleshooting 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

railway-troubleshooting 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为接触敏感数据;许可证为 MIT,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 57,864。

总安装 423周安装 18GitHub Stars 9下载 148核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:railway-troubleshooting(铁路故障排除)
来源仓库:https://github.com/adaptationio/skrillz
仓库路径:skills/railway-troubleshooting
安装命令:
npx skills add https://github.com/adaptationio/skrillz --skill railway-troubleshooting
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/adaptationio/skrillz --skill railway-troubleshooting

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

用于查找、检索和筛选相关信息。适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词、任务场景或来源线索快速定位候选结果。通过 npx skills add 命令从指定仓库安装,需结合原始 README 核验具体用法。安装前应确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

railway-troubleshooting 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/railway-troubleshooting

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/adaptationio/skrillz --skill railway-troublesh…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

railway-troubleshooting 怎么安装?

在终端执行 npx skills add https://github.com/adaptationio/skrillz --skill railway-troubleshooting。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

railway-troubleshooting 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

railway-troubleshooting 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

railway-troubleshooting 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

railway-troubleshooting 用的人多吗?

公开数据是累计安装 423 次,近一周安装 18 次,下载 148 次,GitHub 9 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

railway-troubleshooting 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
railway-troubleshooting

铁路故障排除 · 本页

4239接触敏感数据MIT通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Railway Troubleshooting

Systematic debugging and issue resolution for Railway.com deployments.

Overview

This skill provides decision trees, diagnostic workflows, and recovery procedures for Railway platform issues. It covers build failures, runtime crashes, networking problems, database issues, and performance degradation.

Quick Start

Use this decision tree to diagnose and resolve Railway issues:

Railway Issue?
│
├── Deployment Failed?
│   ├── Build Error → Operation 1: Diagnose Build Failures
│   ├── Deploy Error → Operation 1: Diagnose Deployment Failures
│   ├── Health Check Failed → Check service health endpoint
│   └── Timeout → Check build/deploy timeouts in settings
│
├── Service Crashing?
│   ├── Immediate crash → Operation 2: Debug Runtime Crashes
│   ├── Crash after time → Check memory limits, memory leaks
│   ├── Restart loop → Check startup command, dependencies
│   └── Exit code errors → Check application logs for specifics
│
├── Networking Issues?
│   ├── Service unreachable → Operation 3: Troubleshoot Networking
│   ├── Intermittent connectivity → Check DNS, service discovery
│   ├── SSL errors → Check domain configuration, certificates
│   └── Timeout errors → Check port configuration, firewalls
│
├── Build Issues?
│   ├── Nixpacks detection wrong → Operation 4: Fix Build Errors
│   ├── Dependencies failing → Check package.json, requirements.txt
│   ├── Build commands failing → Verify build scripts
│   └── Cache issues → Clear build cache, force rebuild
│
└── Database Problems?
    ├── Connection refused → Operation 5: Resolve Database Issues
    ├── Timeout errors → Check connection pools, query performance
    ├── Performance slow → Check indices, query optimization
    └── Data corruption → Check backups, recovery procedures

Operations

Operation 1: Diagnose Deployment Failures

Identify and resolve deployment failures through systematic log analysis.

When to use: Deployment status shows failed, builds succeed but deploys fail, health checks failing.

Workflow:

  1. Check Deployment Status # CLI approach railway status railway logs --deployment # API approach (see references/debug-workflow.md for GraphQL) # Query deployment status and recent deploys
  2. Analyze Deploy Logs

- Check for port binding issues (Railway expects PORT env var) - Verify health check endpoint responding - Check startup command execution - Identify timeout issues

  1. Common Deploy Failures

- Port not bound: App must listen on process.env.PORT - Health check timeout: Increase timeout or fix endpoint - Missing environment variables: Check service variables - Startup command wrong: Verify start command in settings

  1. Fix and Redeploy

- Apply fix to code/configuration - Trigger new deployment - Monitor deployment logs - Verify service healthy

See: references/common-errors.md for specific error messages and solutions.

Operation 2: Debug Runtime Crashes

Investigate and resolve service crashes and restart loops.

When to use: Service shows restarting, exit codes in logs, OOM errors, crash reports.

Workflow:

  1. Gather Crash Information # Get runtime logs railway logs --tail 500 # Check service metrics railway metrics # Use diagnostic script./scripts/diagnose.sh [service-id] --verbose
  2. Identify Crash Pattern

- Immediate crash: Startup issue (missing deps, config error) - Crash after time: Memory leak, resource exhaustion - Intermittent crash: Race condition, external dependency - Exit code 137: Out of Memory (OOM) killed

  1. Check Resource Limits

- Memory usage trending up → Memory leak - CPU at 100% → Infinite loop, CPU-intensive operation - Disk full → Log rotation issue, temp files - Connection limits → Database pool exhausted

  1. Common Crash Causes

- OOM: Increase memory limit or fix memory leak - Missing dependencies: Check package installation - Uncaught exceptions: Add error handling - External service down: Add retry logic, circuit breakers

See: references/debug-workflow.md for systematic debugging steps.

Operation 3: Troubleshoot Networking

Resolve networking issues including service discovery, DNS, and connectivity.

When to use: Services can't reach each other, DNS resolution fails, external access issues, SSL errors.

Workflow:

  1. Verify Service Discovery # Check private networking enabled # Services use: [service-name].[project-name].railway.internal # Test DNS resolution railway run nslookup [service-name].[project-name].railway.internal
  2. Check Network Configuration

- Private networking enabled in project settings - Service names correct (use Railway-provided names) - Port configuration matches application - Environment variables for service URLs set

  1. Debug External Access

- Domain configured correctly in service settings - DNS records pointing to Railway - SSL certificate provisioned (check domain settings) - Generate domain option enabled for public access

  1. Common Network Issues

- Service discovery: Use full internal domain name - Port mismatch: App must listen on PORT env var - SSL not working: Allow time for cert provisioning (5-10 min) - Timeout: Check for firewall rules, rate limiting

See: references/common-errors.md Network Errors section.

Operation 4: Fix Build Errors

Resolve build failures, nixpacks configuration issues, and dependency problems.

When to use: Build fails, wrong builder detected, dependencies not installing, build commands fail.

Workflow:

  1. Check Build Logs railway logs --build # Identify build phase failure: # - Detection phase: Nixpacks provider detection # - Install phase: Dependencies installation # - Build phase: Build commands execution
  2. Verify Builder Configuration

- Check nixpacks.toml or railway.toml for custom config - Verify build command in service settings - Check for language version specification - Ensure correct provider detected (Node, Python, Go, etc.)

  1. Fix Dependency Issues

- Lock file present (package-lock.json, yarn.lock, requirements.txt) - Dependencies compatible with build environment - Private packages have auth configured - Build dependencies vs runtime dependencies separated

  1. Force Rebuild if Needed # Clear cache and rebuild./scripts/force-rebuild.sh [service-id] --no-cache # Or via CLI railway up --detach

Common Build Errors:

  • Wrong nixpacks provider: Add nixpacks.toml with correct provider
  • Dependency resolution: Update lock files, fix version conflicts
  • Build timeout: Optimize build, increase timeout in settings
  • Cache issues: Clear build cache with force rebuild

See: references/common-errors.md Build Errors section.

Operation 5: Resolve Database Issues

Debug database connection problems, timeouts, and performance issues.

When to use: Connection refused, database timeouts, slow queries, connection pool exhausted.

Workflow:

  1. Verify Database Connection # Check database service status railway status # Test connection with database URL railway run psql $DATABASE_URL -c "SELECT 1"
  2. Check Connection Configuration

- DATABASE_URL environment variable set correctly - Connection pool size appropriate for service plan - Connection timeout settings reasonable - SSL mode configured if required

  1. Debug Connection Issues

- Connection refused: Database not started, wrong host/port - Timeout: Network issue, slow queries, pool exhausted - Auth failed: Wrong credentials, user permissions - Too many connections: Pool size exceeded, connection leak

  1. Performance Troubleshooting

- Slow queries: Check query plans, add indices - High CPU: Identify expensive queries, optimize - Connection pool exhausted: Increase pool size or fix leaks - Disk space: Clean up old data, increase storage

Emergency Recovery:

  • Restart database service: railway restart [service-id]
  • Check backups: Railway auto-backups available
  • Scale vertically: Upgrade database plan if needed
  • Connection leak: Restart application services

See: references/recovery-procedures.md for emergency procedures.

Related Skills

  • railway-auth: Authentication setup for Railway CLI/API
  • railway-logs: Advanced log querying and analysis
  • railway-deployment: Deployment workflows and strategies
  • railway-api: GraphQL API queries and operations

When to Use This Skill

Use railway-troubleshooting when you encounter:

  • ❌ Deployment failures or build errors
  • 🔄 Service restart loops or crashes
  • 🌐 Networking or connectivity issues
  • 🐛 Runtime errors or performance problems
  • 💾 Database connection or query issues
  • ⚡ Performance degradation
  • 🔧 Configuration or environment issues

Quick Diagnostic

Run the diagnostic script for automated issue detection:

cd /mnt/c/data/github/skrillz/.claude/skills/railway-troubleshooting/scripts
./diagnose.sh [service-id] --verbose

The script will:

  • Check service health status
  • Analyze recent deployment logs
  • Scan for common error patterns
  • Check resource utilization
  • Provide specific recommendations

Additional Resources

  • Common Errors Guide: references/common-errors.md - 20+ documented errors with solutions
  • Debug Workflow: references/debug-workflow.md - Systematic debugging methodology
  • Recovery Procedures: references/recovery-procedures.md - Emergency recovery steps
  • Diagnostic Script: scripts/diagnose.sh - Automated diagnostics
  • Force Rebuild: scripts/force-rebuild.sh - Clear cache and rebuild

Best Practices

  1. Always check logs first: Build logs, deploy logs, runtime logs
  2. Verify environment variables: Missing vars cause most deployment failures
  3. Check resource limits: Memory/CPU limits appropriate for workload
  4. Test locally first: Reproduce issues locally when possible
  5. Monitor metrics: Use Railway dashboard for trends
  6. Document solutions: Update common-errors.md with new patterns
  7. Use private networking: For inter-service communication
  8. Enable health checks: Catch deployment issues early

Support

For issues not covered by this skill:

平台分布

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26.49%
按下载量换算39

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25.59%
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mcpjam

19.3%
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moltbot

13.83%
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windsurf

8.53%
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zencoder

3.66%
按下载量换算5

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。

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