Railway Deploy
CheckedAutomates railway infrastructure deployment planning and optimization using AI, reducing costs and improving efficiency.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add daydreamsai/skills-market --skill railway-deploy -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
daydreamsai
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned daydreamsai/skills-market at 5a0ad17586.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 5a0ad17586
- Scanned
- 1 file, 144 lines
About this skill
What it does
This skill automates deployments to Railway, a cloud platform. It handles tasks like creating new Railway projects from existing repositories and managing environment variables. The skill streamlines the process of getting code onto Railway servers, reducing manual configuration steps.
When to use it
- Deploying a new application: Quickly create a Railway project directly from your GitHub repository.
- Managing environment variables: Update or set environment variables for an existing Railway deployment.
- Automating repetitive tasks: Simplify the process of deploying updates and changes to your Railway applications.
- Setting up staging environments: Easily spin up temporary Railway projects for testing purposes.
Key capabilities
- Project creation from repositories
- Environment variable management
- Railway project deployments
- Automated deployment workflows
Example prompts
- "Create a new Railway project named 'my-app' from my GitHub repository at
https://github.com/user/repo." - “Set the environment variable
DATABASE_URLtopostgres://...for my Railway project ‘production’." - "Deploy changes from the main branch of my GitHub repository to my Railway project 'staging'."
Tips & gotchas
The skill requires access to your GitHub repositories. Ensure the AI agent has appropriate permissions to read and interact with your code.