deploy — community deploy, quick-landing-page, community, ide skills, Claude Code, Cursor, Windsurf

v1.0.0
GitHub

About this Skill

Perfect for Development Agents needing streamlined code deployment to Railway. Turborepo monorepo: Astro landing pages + Hono signup API + Postgres

sethdavis512 sethdavis512
[0]
[0]
Updated: 3/5/2026

Agent Capability Analysis

The deploy skill by sethdavis512 is an open-source community AI agent skill for Claude Code and other IDE workflows, helping agents execute tasks with better context, repeatability, and domain-specific guidance.

Ideal Agent Persona

Perfect for Development Agents needing streamlined code deployment to Railway.

Core Value

Empowers agents to deploy code from the current directory to Railway using `railway up`, handling local code changes and commit messages with ease, leveraging Turborepo monorepo and Postgres.

Capabilities Granted for deploy

Deploying Astro landing pages
Shipping Hono signup API updates
Pushing code changes to Railway

! Prerequisites & Limits

  • Requires Railway setup
  • Limited to Turborepo monorepo architecture
  • Dependent on Postgres database
Labs Demo

Browser Sandbox Environment

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Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.

Boot Container Sandbox

deploy

Install deploy, an AI agent skill for AI agent workflows and automation. Works with Claude Code, Cursor, and Windsurf with one-command setup.

SKILL.md
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Deploy

Deploy code from the current directory to Railway using railway up.

When to Use

  • User asks to "deploy", "ship", "push code"
  • User says "railway up" or "deploy to Railway"
  • User wants to deploy local code changes
  • User says "deploy and fix any issues" (use --ci mode)

Commit Message

Always use the -m flag with a descriptive commit message summarizing what's being deployed:

bash
1railway up --detach -m "Add user authentication endpoint"

Good commit messages:

  • Describe what changed: "Fix memory leak in worker process"
  • Reference tickets/issues: "Implement feature #123"
  • Be concise but meaningful: "Update deps and fix build warnings"

Modes

Detach Mode (default)

Starts deploy and returns immediately. Use for most deploys.

bash
1railway up --detach -m "Deploy description here"

CI Mode

Streams build logs until complete. Use when user wants to watch the build or needs to debug issues.

bash
1railway up --ci -m "Deploy description here"

When to use CI mode:

  • User says "deploy and watch", "deploy and fix issues"
  • User is debugging build failures
  • User wants to see build output

Deploy Specific Service

Default is linked service. To deploy to a different service:

bash
1railway up --detach --service backend -m "Deploy description here"

Deploy to Unlinked Project

Deploy to a project without linking first:

bash
1railway up --project <project-id> --environment production --detach -m "Deploy description here"

Requires both --project and --environment flags.

CLI Options

FlagDescription
-m, --message <MSG>Commit message describing the deploy (always use this)
-d, --detachDon't attach to logs (default)
-c, --ciStream build logs, exit when done
-s, --service <NAME>Target service (defaults to linked)
-e, --environment <NAME>Target environment (defaults to linked)
-p, --project <ID>Target project (requires --environment)
[PATH]Path to deploy (defaults to current directory)

Directory Linking

Railway CLI walks UP the directory tree to find a linked project. If you're in a subdirectory of a linked project, you don't need to relink.

For subdirectory deployments, prefer setting rootDirectory via the environment skill, then deploy normally with railway up.

After Deploy

Detach mode

Deploying to <service>...

Use deployment skill to check build status (with --lines flag).

CI mode

Build logs stream inline. If build fails, the error will be in the output.

Do NOT run railway logs --build after CI mode - the logs already streamed. If you need more context, use deployment skill with --lines flag (never stream).

Composability

  • Check status after deploy: Use service skill
  • View logs: Use deployment skill
  • Fix config issues: Use environment skill
  • Redeploy after config fix: Use environment skill

Error Handling

No Project Linked

No Railway project linked. Run `railway link` first.

No Service Linked

No service linked. Use --service flag or run `railway service` to select one.

Build Failure (CI mode)

The build logs already streamed - analyze them directly from the railway up --ci output. Do NOT run railway logs after CI mode (it streams forever without --lines).

Common issues:

  • Missing dependencies → check package.json/requirements.txt
  • Build command wrong → use environment skill to fix
  • Dockerfile issues → check dockerfile path

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is deploy?

Perfect for Development Agents needing streamlined code deployment to Railway. Turborepo monorepo: Astro landing pages + Hono signup API + Postgres

How do I install deploy?

Run the command: npx killer-skills add sethdavis512/quick-landing-page/deploy. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for deploy?

Key use cases include: Deploying Astro landing pages, Shipping Hono signup API updates, Pushing code changes to Railway.

Which IDEs are compatible with deploy?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for deploy?

Requires Railway setup. Limited to Turborepo monorepo architecture. Dependent on Postgres database.

How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add sethdavis512/quick-landing-page/deploy. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use deploy immediately in the current project.

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