Does it handle database schema updates?

Yes, it provides structured patterns for managing database migrations and versioning to ensure smooth transitions when your data model changes.

Which storage solutions does this skill support?

It supports SharedPreferences for simple settings, Hive for high-performance NoSQL needs, SQLite for relational data, and Firebase Firestore for cloud-synced data.

Can this skill help with mobile data security?

Yes, it includes standardized implementation patterns for AES encryption to ensure sensitive local data remains secure and encrypted.

Is it suitable for apps that need to work without internet?

Absolutely. It specializes in offline-first architecture, including a SyncEngine pattern for merging local changes with remote updates once connectivity is restored.

Flutter Database & Storage Architecture

Name: Flutter Database & Storage Architecture
Author: pluginagentmarketplace

bypluginagentmarketplace

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Mobile Development

Implements comprehensive database architectures and offline-first storage solutions for Flutter applications using SQLite, Hive, and Firestore.

About

This skill equips Claude with deep expertise in Flutter's data persistence layer, offering production-ready implementation patterns for various storage requirements. It covers everything from simple key-value storage with SharedPreferences and high-performance NoSQL with Hive to complex relational data modeling with SQLite. The skill also provides advanced guidance on securing sensitive data through AES encryption, managing schema migrations across app updates, and architecting robust offline-first synchronization engines to bridge local data with cloud backends like Firestore.

Key Features

Multi-engine storage implementation including Hive, SQLite, and SharedPreferences
1 GitHub stars
Structured database schema migration and versioning strategies
Offline-first synchronization logic with conflict resolution
Real-time Firestore integration and data streaming patterns
End-to-end data encryption patterns using AES standards

Use Cases

Implementing secure storage for sensitive user information using production-grade encryption
Building local-first mobile applications that require reliable offline functionality and data syncing
Managing complex relational data structures and migrations in enterprise Flutter apps

About

Key Features

Multi-engine storage implementation including Hive, SQLite, and SharedPreferences
1 GitHub stars
Structured database schema migration and versioning strategies
Offline-first synchronization logic with conflict resolution
Real-time Firestore integration and data streaming patterns
End-to-end data encryption patterns using AES standards

Use Cases

Implementing secure storage for sensitive user information using production-grade encryption
Building local-first mobile applications that require reliable offline functionality and data syncing
Managing complex relational data structures and migrations in enterprise Flutter apps