logic▌

This skill helps you configure a scalable, maintainable build system for Android apps using Gradle Convention Plugins and Version Catalogs, following the "Now in Android" (NiA) architecture.

ln-631-test-business-logic-auditor

Firebase AI Logic is a product of Firebase that allows developers to add gen AI to their mobile and web apps using client-side SDKs. You can call Gemini models directly from your app without managing a dedicated backend. Firebase AI Logic, which was previously known as "Vertex AI for Firebase", represents the evolution of Google's AI integration platform for mobile and web developers.

Client-side Gemini integration for web apps with multimodal inference, streaming, and on-device hybrid execution. \n \n Supports text-only and multimodal inputs (images, audio, video, PDFs); files over 20 MB route through Cloud Storage \n Includes chat sessions with automatic history, streaming responses for real-time display, and structured JSON output enforcement \n Offers hybrid on-device inference via Gemini Nano in Chrome, with automatic fallback to cloud execution \n Requires App Check for

Integrate Gemini AI into Firebase apps with text generation, streaming, and image analysis capabilities. \n \n Supports text generation, streaming responses, and multimodal (image + text) analysis through Firebase's Gemini integration \n Includes SDK setup for web (JavaScript/TypeScript) with Firebase initialization and model configuration \n Provides security rules templates for protecting AI request logs and enforces API key management via environment variables \n Built-in best practices cover