Deploy and manage applications on Railway.app. Use for deploying projects, managing services, viewing logs, setting environment variables, and managing databases. Railway is a modern cloud platform for deploying apps with zero configuration.
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Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install railway-skillOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install railway-skillβ οΈ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js β
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/railway-skill/π‘Extract and place the folder at the path above, then restart your agent.
Category
π»Developer & DevOpsPlatforms
What Railway can do for your AI workflow
Applications on railway directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
Trusted by 2,207+ developers worldwide
One-command installation β no complex setup required
Combine with other skills to build powerful multi-step AI workflows
Try these prompts with your AI agent after installing Railway
Help me get started with Railway
Explains what Railway does, walks through the setup, and runs a quick demo based on your current project
Use Railway to deploy and manage applications on Railway
Invokes Railway with the right parameters and returns the result directly in the conversation
What can I do with Railway in my developer & devops workflow?
Lists the top use cases for Railway, with example commands for each scenario
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Railway extends your AI assistant with the ability to deploy and manage applications on Railway.app. Use for deploying projects, managing services, viewing logs, setting environment variables, and managing databases. Railway is a modern cloud platform for deploying apps with zero configuration. Rather than leaving your conversation to handle this manually, you can ask your Claude agent directly β and it will take care of the task end-to-end, using Railway as its underlying capability.
Railway works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) β an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install Railway once and it becomes available across all your AI clients. Whether you're working in Claude for focused sessions or Cursor for integrated workflows, the skill behaves consistently.
Getting started with Railway takes about two minutes. Place the skill at `~/.claude/skills/railway-skill/` (personal, all projects) or `.claude/skills/railway-skill/` (project-specific), then restart your AI client. From that point, typing `/railway-skill` in any conversation activates it, or the AI will use it on its own when it detects a relevant request.
Railway has been installed 2,207 times, making it one of the more actively used skills in the Developer & DevOps category. The install rate suggests it solves a real, recurring need rather than a niche edge case. Like all skills on DiscoverAISkills, it is free to install and use. The broader AI skills ecosystem continues to expand as developers contribute new capabilities across categories like developer tools, data analysis, writing, automation, and more.
Place the skill folder at ~/.claude/skills/railway-skill/ for personal use (all projects), or .claude/skills/railway-skill/ for project-specific use. Restart your AI client, then invoke with /railway-skill or let the AI discover it automatically.
Railway supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Railway is free to install. Check the repository for licensing information.
Deploy and manage applications on Railway.app. Use for deploying projects, managing services, viewing logs, setting environment variables, and managing databases. Railway is a modern cloud platform for deploying apps with zero configuration.
Railway Deploy
This skill should be used when the user wants to push code to Railway, says "railway up", "deploy", "deploy to railway", "ship", or "push". For initial setup or creating services, use new skill. For Docker images, use environment skill.
Railway
Railway deployment platform β projects, services, deployments, variables. App hosting CLI.
Railway
Railway integration. Manage data, records, and automate workflows. Use when the user wants to interact with Railway data.
Automate my developer & devops tasks using Railway
Identifies repetitive steps in your workflow and sets up Railway to handle them automatically
Railway is categorized under Developer & DevOps. These skills help AI agents perform specialized tasks in this domain.