rails-ai:controllers
Use when building Rails controllers - RESTful actions, nested resources, skinny controllers, concerns, strong parameters
rails-ai:debugging-rails
Use when debugging Rails issues - provides Rails-specific debugging tools (logs, console, byebug, SQL logging) integrated with systematic debugging process
rails-ai:hotwire
Use when adding interactivity to Rails views - Hotwire Turbo (Drive, Frames, Streams, Morph) and Stimulus controllers
rails-ai:jobs
Use when setting up background jobs, caching, or WebSockets - SolidQueue, SolidCache, SolidCable (TEAM RULE #1 - NEVER Sidekiq/Redis)
rails-ai:mailers
Use when sending emails - ActionMailer with async delivery via SolidQueue, templates, previews, and testing
rails-ai:models
Use when designing Rails models - ActiveRecord patterns, validations, callbacks, scopes, associations, concerns, query objects, form objects
rails-ai:project-setup
Setting up and configuring Rails 8+ projects - Gemfile dependencies, environment config, credentials, initializers, Docker, RuboCop, project validation
rails-ai:security
CRITICAL - Use when securing Rails applications - XSS, SQL injection, CSRF, file uploads, command injection prevention
rails-ai:styling
Use when styling Rails views - Tailwind CSS utility-first framework and DaisyUI component library with theming
rails-ai:testing
Use when testing Rails applications - TDD, Minitest, fixtures, model testing, mocking, test helpers
using-rails-ai
Rails-AI introduction - explains how rails-ai (Rails domain layer) integrates with superpowers (universal workflows) for Rails development
rails-ai:views
Use when building Rails view structure - partials, helpers, forms, nested forms, accessibility (WCAG 2.1 AA)