Automate code deployments to Railway using the CLI with support for custom messages, service selection, and real-time log streaming.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install railway-deploy
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install railway-deploy using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Railway Deploy skill simplifies the process of pushing local code to Railway environments. By leveraging the railway up command, this skill allows AI agents to handle the complexities of shipping code, ensuring that every deployment is accompanied by a descriptive commit message. It is a core component of the Openclaw Skills ecosystem for developers who want to move from code to production without leaving their chat interface.
Whether you are updating a single service or deploying to a specific project environment, this skill provides the necessary flags and modes to ensure a smooth transition. It supports both background deployments and interactive CI sessions where logs are streamed directly for immediate feedback and troubleshooting.
railway up command with a mandatory -m commit message.To use this skill, you must have the Railway CLI installed and be logged in. Run the following commands in your project root:
railway login
railway link
Ensure that the deploy skill is enabled in your Openclaw Skills configuration to allow the agent to execute these commands on your behalf.
The skill utilizes the following CLI options to organize deployment metadata:
| Flag | Description |
|---|---|
--message |
A descriptive summary of the changes being deployed. |
--service |
The specific Railway service target. |
--environment |
The target environment (e.g., production, staging). |
--ci |
A flag to stream logs until the build completes. |
--detach |
A flag to return immediately after starting the deployment. |
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