Rails Developer

What it does

This skill enables AI agents to build, modify, and maintain Ruby on Rails applications. It handles full-stack backend logic including database migrations, model definitions, controller actions, and view rendering within the Rails ecosystem.

When to use it

• Generating new Rails projects with specific gems or configurations from scratch.
• Refactoring legacy Rails codebases to improve performance or security standards.
• Creating complex API endpoints that interact with PostgreSQL or other supported databases.
• Automating routine maintenance tasks like running database migrations or seeding initial data.

Key capabilities

• Scaffold complete Rails applications using rails new and related generators.
• Write and execute Ruby code for models, controllers, and services.
• Manage database schemas through ActiveRecord migrations.
• Integrate third-party libraries via the Gemfile.
• Render HTML views or JSON responses based on application state.

Example prompts

• "Create a new Rails API project with authentication using Devise and PostgreSQL."
• "Write a migration to add an index on the email column in the users table."
• "Generate a controller action that fetches active orders and returns them as JSON."

Tips & gotchas

Ensure your AI agent has access to the Rails environment or a compatible sandbox to execute code effectively. While this skill focuses on backend logic, complex frontend integration may require additional tools beyond standard Rails views.