Does it support database migrations?

Absolutely. It includes workflows for initializing stacks, running migrations, and managing schema versioning across multiple database types.

Which databases does this skill support?

It primarily focuses on PostgreSQL for relational data, MongoDB for document storage, and Redis for in-memory caching and real-time operations.

What is 'Polyglot Persistence' in the context of this skill?

It refers to using multiple database technologies within a single application, routing different data types (like structured, flexible, or real-time) to the most appropriate storage engine.

How does it handle data synchronization?

It provides patterns for cross-database transactions and synchronization managers to ensure data consistency between your primary databases and cache layers.

Can it help with slow database queries?

Yes, it provides advanced patterns for query analysis, indexing strategies, and performance tuning for both SQL and NoSQL environments.

Modern Database Architecture Specialist

Name: Modern Database Architecture Specialist
Author: modu-ai

bymodu-ai

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Database Management

Optimizes database architectures across PostgreSQL, MongoDB, and Redis to ensure high-performance data management and scalable system design.

About

The moai-domain-database skill provides expert-level guidance for designing, implementing, and optimizing diverse data environments. It covers the full spectrum of modern data needs, from complex relational patterns in PostgreSQL and document modeling in MongoDB to high-speed caching and real-time analytics with Redis. This skill is particularly useful for developers architecting polyglot persistence systems, troubleshooting database performance bottlenecks, or implementing robust data synchronization patterns across distributed services.

Key Features

Advanced PostgreSQL schema design and query optimization
MongoDB document modeling and aggregation pipeline tuning
Automated migration workflows and performance monitoring
16 GitHub stars
Polyglot persistence and multi-database synchronization patterns
Redis caching strategies and distributed system coordination

Use Cases

Optimizing slow-running SQL queries or MongoDB aggregation pipelines
Designing a scalable hybrid database architecture for high-traffic applications
Implementing robust caching layers and real-time data sync across microservices

About

Key Features

Advanced PostgreSQL schema design and query optimization
MongoDB document modeling and aggregation pipeline tuning
Automated migration workflows and performance monitoring
16 GitHub stars
Polyglot persistence and multi-database synchronization patterns
Redis caching strategies and distributed system coordination

Use Cases

Optimizing slow-running SQL queries or MongoDB aggregation pipelines
Designing a scalable hybrid database architecture for high-traffic applications
Implementing robust caching layers and real-time data sync across microservices