Is it compatible with popular ORMs and ODMs?

Absolutely, it integrates seamlessly with technologies like SQLAlchemy, Mongoose, TypeORM, and other modern database interfaces.

Can this skill help me choose between SQL and NoSQL?

Yes, it includes patterns for polyglot persistence and helps you determine which database type is best suited for specific data models and access patterns.

Which database technologies are supported by this skill?

The skill provides specialized expertise in PostgreSQL for relational data, MongoDB for document storage, and Redis for in-memory caching and real-time features.

Does it provide support for database migrations?

Yes, it includes workflows for schema versioning and migrations using industry-standard tools like Alembic and Flyway.

How does this skill handle performance tuning?

It provides advanced guidance on query execution plans, indexing strategies, connection pooling, and caching layers to ensure low latency at scale.

Modern Database Domain Specialist

Name: Modern Database Domain Specialist
Author: Microck

byMicrock

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Database Management

Optimizes data architectures using enterprise-grade patterns for PostgreSQL, MongoDB, Redis, and polyglot persistence systems.

About

The moai-domain-database skill serves as a comprehensive expert for data management within Claude, providing domain-specific guidance for SQL, NoSQL, and in-memory databases. It excels at designing scalable schemas, crafting complex aggregation pipelines, and implementing high-performance caching strategies. By bridging the gap between relational integrity and document flexibility, this skill helps developers build robust backend infrastructures, perform deep query optimizations, and manage complex data migrations with confidence.

Key Features

High-performance MongoDB document modeling and aggregation pipelines
Advanced PostgreSQL schema design, indexing, and partitioning strategies
Polyglot persistence architectures for hybrid multi-database systems
Automated query performance analysis and database migration workflows
Enterprise Redis patterns for distributed caching and real-time analytics
81 GitHub stars

Use Cases

Optimizing complex SQL queries and NoSQL document structures for performance
Implementing real-time caching layers and distributed locks with Redis
Architecting scalable data models for high-traffic enterprise applications

About

Key Features

High-performance MongoDB document modeling and aggregation pipelines
Advanced PostgreSQL schema design, indexing, and partitioning strategies
Polyglot persistence architectures for hybrid multi-database systems
Automated query performance analysis and database migration workflows
Enterprise Redis patterns for distributed caching and real-time analytics
81 GitHub stars

Use Cases

Optimizing complex SQL queries and NoSQL document structures for performance
Implementing real-time caching layers and distributed locks with Redis
Architecting scalable data models for high-traffic enterprise applications