Which storage solution does this skill recommend for large datasets?

For structured and large datasets, the skill provides implementation patterns using Hive for high performance, while SQLite is suggested for complex relational data requirements.

Does this skill include conflict resolution strategies?

Yes, it provides a foundation for sync queues and status tracking which are essential for managing data conflicts and ensuring data integrity during the synchronization process.

How does this skill handle network connectivity changes?

It includes a ConnectivityService pattern that monitors network status changes in real-time, allowing the app to trigger synchronization tasks automatically when the device goes back online.

What is the benefit of the 'Optimistic Updates' pattern included?

Optimistic updates allow the UI to reflect user actions immediately (as if the server call succeeded), providing a lag-free experience while the actual synchronization happens in the background.

Flutter Offline & Sync Support

Name: Flutter Offline & Sync Support
Author: antoineschaller

byantoineschaller

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Mobile Development

Implements robust offline-first capabilities, local data storage, and synchronization patterns for Flutter applications.

소개

This skill empowers Claude to architect and implement reliable offline experiences in Flutter apps by providing best-practice patterns for local storage using Hive, SQLite, and SharedPreferences. It offers production-ready implementations for background synchronization, real-time connectivity monitoring, and optimistic UI updates, ensuring that mobile applications remain fully functional and responsive regardless of network status.

주요 기능

Modular local storage implementations for Hive, SQLite, and SharedPreferences
Optimistic UI update patterns to enhance perceived application performance
Real-time network detection and connectivity state management
1 GitHub stars
Offline-first data fetching patterns with background refresh strategies
Robust sync queue management with retry logic and status tracking

사용 사례

Building mobile applications that require full functionality in areas with poor connectivity
Optimizing application responsiveness through local caching and immediate UI feedback
Implementing complex data synchronization between local mobile databases and remote REST APIs

소개

주요 기능

Modular local storage implementations for Hive, SQLite, and SharedPreferences
Optimistic UI update patterns to enhance perceived application performance
Real-time network detection and connectivity state management
1 GitHub stars
Offline-first data fetching patterns with background refresh strategies
Robust sync queue management with retry logic and status tracking

사용 사례

Building mobile applications that require full functionality in areas with poor connectivity
Optimizing application responsiveness through local caching and immediate UI feedback
Implementing complex data synchronization between local mobile databases and remote REST APIs