Can this skill help with performance tuning and query optimization?

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

Does it support polyglot persistence architectures?

Absolutely. The skill features specific patterns for routing data between different database types and maintaining synchronization across hybrid environments.

Which databases does the MoAI Domain Database skill support?

It provides comprehensive support for PostgreSQL (relational), MongoDB (document-based), and Redis (in-memory/caching) ecosystems.

How does it handle database scaling?

The skill offers implementation guides for horizontal scaling techniques such as database sharding, read replicas, and distributed clustering.

Can I use this skill to manage database migrations?

Yes, it provides tools and best practices for PostgreSQL schema migrations, MongoDB collection updates, and cache warming strategies.

MoAI Domain Database

Name: MoAI Domain Database
Author: Activer007

byActiver007

데이터베이스 관리

Provides expert-level database architecture, optimization, and management for PostgreSQL, MongoDB, and Redis environments.

소개

MoAI Domain Database is a specialized Claude Code skill designed to act as an enterprise-grade database architect and administrator. It offers deep expertise in relational modeling with PostgreSQL, document-based architecture with MongoDB, and high-performance caching with Redis. Whether you are building polyglot persistence layers, optimizing complex aggregation pipelines, or implementing distributed locking systems, this skill provides the design patterns, implementation guides, and performance optimization strategies necessary to scale modern applications reliably.

주요 기능

Polyglot persistence patterns for synchronizing data across multiple database types
MongoDB document modeling and sophisticated aggregation pipeline engineering
Multi-layer Redis caching strategies and real-time analytics implementation
Database scaling strategies including sharding, replication, and connection pooling
Advanced PostgreSQL schema design, query optimization, and indexing strategies
0 GitHub stars

사용 사례

Designing and migrating complex relational or NoSQL database schemas for enterprise apps
Implementing high-performance caching and real-time data synchronization across microservices
Analyzing and optimizing slow database queries to improve system throughput and latency

소개

주요 기능

Polyglot persistence patterns for synchronizing data across multiple database types
MongoDB document modeling and sophisticated aggregation pipeline engineering
Multi-layer Redis caching strategies and real-time analytics implementation
Database scaling strategies including sharding, replication, and connection pooling
Advanced PostgreSQL schema design, query optimization, and indexing strategies
0 GitHub stars

사용 사례

Designing and migrating complex relational or NoSQL database schemas for enterprise apps
Implementing high-performance caching and real-time data synchronization across microservices
Analyzing and optimizing slow database queries to improve system throughput and latency