rails-ai

Rails-AI introduction - explains how rails-ai (Rails domain layer) integrates with superpowers (universal workflows) for Rails development

Use when setting up background jobs, caching, or WebSockets - SolidQueue, SolidCache, SolidCable (TEAM RULE

Use when sending emails - ActionMailer with async delivery via SolidQueue, templates, previews, and testing

Setting up and configuring Rails 8+ projects - Gemfile dependencies, environment config, credentials, initializers, Docker, RuboCop, project validation

Use when building Rails controllers - RESTful actions, nested resources, skinny controllers, concerns, strong parameters

Use when debugging Rails issues - provides Rails-specific debugging tools (logs, console, byebug, SQL logging) integrated with systematic debugging process

Use when adding interactivity to Rails views - Hotwire Turbo (Drive, Frames, Streams, Morph) and Stimulus controllers

Use when designing Rails models - ActiveRecord patterns, validations, callbacks, scopes, associations, concerns, query objects, form objects

CRITICAL - Use when securing Rails applications - XSS, SQL injection, CSRF, file uploads, command injection prevention

Use when styling Rails views - Tailwind CSS utility-first framework and DaisyUI component library with theming

Use when testing Rails applications - TDD, Minitest, fixtures, model testing, mocking, test helpers

Use when building Rails view structure - partials, helpers, forms, nested forms, accessibility (WCAG 2.1 AA)