Skill UI

This comprehensive skill guide details how to correctly integrate and manage Firebase Authentication within Flutter applications. It covers initial setup, real-time state observation using streams, and implementing various sign-in methods, including email/password, phone, and major social providers (Google, Apple). It also emphasizes secure coding practices, error handling, and state management best practices.

This comprehensive skill guides developers through integrating and optimizing Firebase Cloud Firestore within Flutter applications. It covers best practices for data modeling, performing advanced CRUD operations, setting up real-time listeners, executing atomic transactions, and designing for massive scale. Learn how to implement robust querying, cursor-based pagination, and secure your data structure effectively.

This skill provides a comprehensive guide on securely integrating and calling Firebase Cloud Functions from Flutter applications. It covers the proper use of `httpsCallable` to invoke structured server-side logic, handling data serialization, implementing robust error handling (including permission denial and timeouts), configuring regional deployments, and utilizing the Firebase Emulator Suite for reliable local testing.

A comprehensive guide on integrating Firebase Data Connect into Flutter applications. Learn how to define schemas using GraphQL, implement typed queries and mutations, set up real-time listeners, handle offline scenarios, and apply best practices for performance and robust security within a mobile environment.

This comprehensive guide details how to correctly implement and manage Firebase Realtime Database within Flutter applications. It covers critical best practices including data modeling (using flattened JSON trees), utilizing real-time listeners, ensuring offline persistence, performing atomic transactions, and implementing security rules. Ideal for applications requiring extremely low-latency synchronization and constant state monitoring.

This comprehensive guide details the implementation of Firebase In-App Messaging within Flutter applications. It covers setup, programmatic message triggering and suppression during critical flows (like payments), and essential privacy controls for GDPR compliance. Learn best practices for testing campaigns, utilizing A/B testing, and managing the full lifecycle of in-app message campaigns.

This comprehensive guide provides an end-to-end solution for implementing Firebase Cloud Messaging (FCM) in Flutter applications. It covers platform-specific setup for iOS, Android, and Web, detailing how to handle messages in foreground, background, and terminated states. Key topics include managing notification permissions, handling token lifecycles, and implementing reliable cross-platform push notification logic.

A comprehensive guide on utilizing Firebase Remote Config within Flutter applications. Learn how to implement dynamic feature flags, execute A/B testing, manage remote parameter defaults, and fetch real-time configuration values. This skill allows developers to modify app behavior and user experiences without requiring an app store update, ensuring fast iteration and efficient product testing.

A comprehensive guide to structuring robust Flutter applications using industry-standard layered architecture (UI, Domain, Data). It details patterns like MVVM, Repository pattern, and Use Cases, ensuring clean separation of concerns, manageable state flow (unidirectional data flow), and testability. Ideal for scaffolding new, large-scale projects or refactoring legacy codebases.

Guides using ChangeNotifier with provider for Flutter state management, covering model creation, providing to the widget tree, consuming via Consumer and Provider.of, optimization practices, and testing notifications.

Diagnoses and explains fixes for Flutter runtime and layout errors such as RenderFlex overflow, unbounded constraints, scroll-controller conflicts, and inappropriate setState calls during build, helping developers resolve issues quickly.

Enforces full, unabridged code and document generation by overriding LLM truncation safeguards, forbidding placeholder patterns, and managing token-limit splits so every requested deliverable is returned complete.