canli-yayina-al

Deploy projects to GitHub and Railway via GitHub MCP and Railway GraphQL API.

1|Updated May 16, 2026
One-click install
npx skills add https://github.com/cengo33/hal-piyasa --skill canli-yayina-al
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: canli-yayina-al
Source: https://github.com/cengo33/hal-piyasa/tree/main/_skills/canli-yayina-al
Command: npx skills add https://github.com/cengo33/hal-piyasa --skill canli-yayina-al

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires github-mcp, railway-graphql-api, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill automates the deployment of projects from Antigravity to production, handling GitHub pushes, Railway GraphQL API deployments, and ensuring seamless user experience without manual instructions.

Core Features & Use Cases

  • Automated Deployment: Deploy projects to GitHub and Railway with no manual intervention from the user.
  • GitHub Push: Handles GitHub MCP pushes for code deployment.
  • Railway Deployment: Utilizes Railway GraphQL API for continuous deployment and monitoring.
  • User Experience: Maintains the user in the chat interface throughout the entire process without any manual commands.
  • Use Case: Ideal for situations where a user wants to deploy a project to production with a simple command like "deploy to production" or "make this 7/24 active".

Quick Start

Use the canli-yayina-al skill to deploy your project to production by saying "deploy this to production".

Frequently Asked Questions about canli-yayina-al

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate project deployment to production on GitHub and Railway?

You can deploy projects to production by issuing commands like "deploy to production" or "make this 7/24 active". The skill handles GitHub pushes and Railway GraphQL API deployments automatically, keeping you in the chat interface without requiring manual commands throughout the process.

What is the best way to set up continuous deployment from Antigravity to production?

Setting up continuous deployment from Antigravity to production involves using GitHub MCP for code pushes and Railway GraphQL API for hosting. This integration provides a seamless deployment workflow without manual intervention, keeping the user in the chat interface throughout the entire process.

Do I need GitHub and Railway accounts to automate my production deployments?

Yes, you need active GitHub and Railway accounts with API access to automate production deployments. The workflow relies on GitHub MCP for pushing code and the Railway GraphQL API for hosting and continuous monitoring, requiring both accounts for deployment.

Can I deploy to Railway without leaving the chat interface?

Yes, you can deploy to Railway without leaving the chat interface. The process utilizes the Railway GraphQL API and GitHub MCP to handle code pushes and production hosting entirely within the chat, ensuring a seamless user experience without manual commands.

Are there limitations to using GitHub MCP for project management deployment automation?

Limitations include strict dependency on GitHub and Railway APIs. The workflow is constrained by the capabilities of the Railway GraphQL API for continuous deployment and monitoring scenarios, requiring both accounts for automated production deployment without manual intervention.