railway-skills

Railway Skills is an agent skill package that enables AI agents like Claude and Cursor to interact with Railway infrastructure. It follows the Agent Skills format and includes plugin packaging for Claude Code, Cursor, Grok Build, and OpenAI Codex. The primary `use-railway` skill provides route-first intent routing for automating deployment and infrastructure operations. Installation is streamlined through the Railway CLI with a single setup command, and the skill integrates with local MCP server configuration where supported. Operations teams use it to automate repetitive infrastructure tasks and streamline deployment workflows across their AI agent environments.

[{"step":"Identify the Railway service and project","action":"Locate the [SERVICE_NAME] and [PROJECT_ID] in your Railway dashboard. Ensure you have admin access to the project.","tip":"Use the Railway CLI (`railway list`) to list all projects and services if you're unsure of the IDs."},{"step":"Prepare environment variables","action":"Gather the required environment variables (e.g., `DATABASE_URL`, `API_KEYS`) for the service. Store sensitive values securely in Railway's encrypted variables.","tip":"Use Railway's `railway variables` command to set variables programmatically or update them via the dashboard."},{"step":"Execute the automation","action":"Paste the prompt template into your AI agent (e.g., Claude) and replace the [PLACEHOLDERS] with your specific values. Run the automation to trigger the deployment.","tip":"For debugging, add `--verbose` flags to the Railway CLI commands if you're using the CLI directly."},{"step":"Monitor and verify","action":"Check the deployment logs and service health endpoint (e.g., `/health`) to confirm the service is running. Use Railway's dashboard or CLI (`railway logs`) for real-time monitoring.","tip":"Set up Railway's built-in alerts for critical failures (e.g., service crashes, high latency)."},{"step":"Document and iterate","action":"Document the automation steps in your team's runbooks. Refine the prompt template based on common deployment issues or new requirements.","tip":"Share the automation script with your team and store it in a shared repository (e.g., GitHub) for version control."}]