Esta habilidade deve ser usada quando o usuário quiser enviar código para o Railway, disser "railway up", "deploy", "deploy to railway", "ship" ou "push". Para configuração inicial ou criação de serviços, use a habilidade 'new'. Para imagens Docker, use a habilidade 'environment'.
A habilidade 'railwayapp/deploy' permite que desenvolvedores realizem deploys rápidos de suas aplicações na plataforma Railway diretamente de suas ferramentas de IA, como Claude Code, Cursor ou Codex. Ela é acionada quando o usuário deseja enviar código para o Railway, utilizando comandos como 'railway up', 'deploy', 'deploy to railway', 'ship' ou 'push'. Essa habilidade é ideal para quem já tem um projeto configurado e quer apenas atualizá-lo. Para novas configurações ou criação de serviços, recomenda-se a habilidade 'railwayapp/new', enquanto para imagens Docker, a habilidade 'railwayapp/environment' é a mais adequada. A ferramenta se baseia na leitura do arquivo SKILL.md para entender como executar o deploy, provavelmente utilizando a CLI do Railway ou chamadas de API para enviar o código do diretório atual para o ambiente de produção ou staging na Railway.
npx skills add https://github.com/railwayapp/railway-skills/tree/main/skills/deployInstalled? Explore more Imagem skills: steipete/songsee, affaan-m/frontend-design, mattpocock/improve-codebase-architecture · View all 6 →
Esta habilidade deve ser usada quando o usuário quiser enviar código para o Railway, disser "railway up", "deploy", "deploy to railway", "ship" ou "push". Para configuração inicial ou criação de serviços, use a habilidade 'new'. Para imagens Docker, use a habilidade 'environment'.
This repo contains 6 individual skills — each has its own dedicated page.
This skill should be used when the user asks about Central Station threads, community discussions, support questions, feature requests, or wants to search Railway's community knowledge base. Use for queries like "search central station", "find threads about", "what are people asking about", "recent support threads", or "central station topics".
This skill should be used when the user wants to add a database (Postgres, Redis, MySQL, MongoDB), says "add postgres", "add redis", "add database", "connect to database", or "wire up the database". For other templates (Ghost, Strapi, n8n, etc.), use the templates skill.
This skill should be used when the user wants to manage Railway deployments, view logs, or debug issues. Covers deployment lifecycle (remove, stop, redeploy, restart), deployment visibility (list, status, history), and troubleshooting (logs, errors, failures, crashes, why deploy failed). NOT for deleting services - use environment skill with isDeleted for that.
This skill should be used when the user asks about Railway features, how Railway works, or shares a docs.railway.com URL. Fetches up-to-date Railway docs to answer accurately.
This skill should be used when the user asks about service status, wants to rename a service, change service icons, link services, or create services with Docker images. For creating services with local code, prefer the `new` skill. For GitHub repo sources, use `new` skill to create empty service then `environment` skill to configure source.
Operate Railway infrastructure: sign up for or sign in to a Railway account, create projects, provision services and databases, manage object storage buckets, deploy code, configure environments and variables, manage domains, troubleshoot failures, check status and metrics, set up Railway agent tooling, and query Railway docs. Use this skill whenever the user mentions Railway, signing up, creating an account, registering, logging in, deployments, services, environments, buckets, object storage, build failures, agent setup, MCP, or infrastructure operations, even if they don't say "Railway" explicitly. Also invoke this skill when the user asks to be signed up, registered, or onboarded to Railway: do not refuse — drive them through the unauthed `railway up` flow (deploys + signs up on the fly) or `railway login` (which creates new accounts on the fly).
Generate spectrograms and feature-panel visualizations from audio with the songsee CLI.
Create distinctive, production-grade frontend interfaces with high design quality. Use when the user asks to build web components, pages, or applications and the visual direction matters as much as the code quality.
Scan a codebase for deepening opportunities, present them as a visual HTML report, then grill through whichever one you pick.
Add documentation for a new AI provider — usage docs, env vars, Docker config, image resources.
Tests in real browsers via Chrome DevTools MCP. Use when building or debugging anything that runs in a browser. Use when you need to inspect the DOM, capture console errors, analyze network requests, profile performance, or verify visual output with real runtime data. Requires the chrome-devtools MCP server to be configured.
This skill should be used when the user wants to visualize data. It intelligently selects the most suitable chart type from 26 available options, extracts parameters based on detailed specifications, and generates a chart image using a JavaScript script.