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Found 5 Skills
Rails-AI introduction - explains how rails-ai (Rails domain layer) integrates with superpowers (universal workflows) for Rails development
Use when sending emails - ActionMailer with async delivery via SolidQueue, templates, previews, and testing
Use when designing Rails models - ActiveRecord patterns, validations, callbacks, scopes, associations, concerns, query objects, form objects
Build AI-powered Ruby applications with RubyLLM. Full lifecycle - chat, tools, streaming, Rails integration, embeddings, and production deployment. Covers all providers (OpenAI, Anthropic, Gemini, etc.) with one unified API.
LLM guardrails with NeMo, Guardrails AI, and OpenAI. Input/output rails, hallucination prevention, fact-checking, toxicity detection, red-teaming patterns. Use when building LLM guardrails, safety checks, or red-team workflows.