Which database engines are supported by this skill?

The skill provides specialized patterns for PostgreSQL, MongoDB, and Redis, while also offering general guidance for MySQL and alternative NoSQL systems.

How does it handle multi-database architectures?

It implements 'Polyglot Persistence' patterns, helping developers route different data types to the most appropriate storage engine while maintaining consistency.

Is it useful for cloud-native database scaling?

Yes, it covers enterprise scaling strategies including sharding for MongoDB, read replicas for PostgreSQL, and clustering for Redis environments.

Can this skill help with database performance tuning?

Yes, it includes advanced modules for analyzing PostgreSQL EXPLAIN plans, optimizing MongoDB aggregation pipelines, and monitoring Redis performance metrics.

Does it support data migration workflows?

Absolutely. It provides implementation guides for schema migrations using tools like Alembic and Flyway, including cross-database synchronization patterns.

MoAI Domain Database Specialist

Name: MoAI Domain Database Specialist
Author: Activer007

byActiver007

Gestión de Bases de Datos

Optimizes modern data layers through expert-level implementation patterns for PostgreSQL, MongoDB, Redis, and polyglot persistence architectures.

Acerca de

The MoAI Domain Database skill transforms Claude into a high-level database architect capable of managing complex data environments. It provides deep expertise across relational, document, and in-memory stores, offering specialized guidance for PostgreSQL query optimization, MongoDB aggregation pipelines, and Redis caching strategies. Whether you are designing a new schema from scratch, migrating legacy data, or troubleshooting performance bottlenecks in a multi-database stack, this skill ensures your data architecture is scalable, performant, and follows enterprise-grade best practices.

Características Principales

PostgreSQL advanced schema design and query optimization
Redis caching strategies and distributed system patterns
Performance tuning via indexing, sharding, and read replicas
MongoDB document modeling and complex aggregation pipelines
0 GitHub stars
Polyglot persistence and multi-database synchronization logic

Casos de Uso

Optimizing database performance and reducing query latency
Architecting scalable data layers for high-traffic modern applications
Implementing complex migrations and data synchronization workflows

Acerca de

Características Principales

PostgreSQL advanced schema design and query optimization
Redis caching strategies and distributed system patterns
Performance tuning via indexing, sharding, and read replicas
MongoDB document modeling and complex aggregation pipelines
0 GitHub stars
Polyglot persistence and multi-database synchronization logic

Casos de Uso

Optimizing database performance and reducing query latency
Architecting scalable data layers for high-traffic modern applications
Implementing complex migrations and data synchronization workflows