How does it assist with database performance?

It provides tools for query performance analysis, indexing strategies, connection pooling configuration, and caching layer implementation.

What is the 'Polyglot Persistence' pattern mentioned?

It is an architectural approach where different types of data are routed to the most suitable database, such as using PostgreSQL for structured records and Redis for real-time state.

Can this skill help with database migrations?

Yes, it includes advanced workflows for schema migrations, data synchronization across databases, and version-controlled database updates.

Does it support modern cloud database platforms?

Yes, it is designed to work seamlessly with platforms like Supabase, Neon, and MongoDB Atlas using industry-standard best practices.

Which databases are specifically supported by this skill?

This skill specializes in PostgreSQL, MongoDB, and Redis, offering domain-specific guidance for each, while also covering general SQL and NoSQL patterns.

Database Domain Specialist

Name: Database Domain Specialist
Author: modu-ai

bymodu-ai

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423

数据库管理

Optimizes and implements advanced database patterns across PostgreSQL, MongoDB, and Redis for scalable modern applications.

关于

The Database Domain Specialist skill provides Claude with deep expertise in enterprise data management, covering relational, NoSQL, and in-memory systems. It enables the design of robust schemas, complex aggregation pipelines, and high-performance caching strategies while offering guidance on polyglot persistence and data synchronization. This skill is ideal for developers architecting data-intensive applications that require specialized knowledge in performance tuning, migrations, and multi-database integration patterns.

主要功能

Advanced PostgreSQL schema design, indexing, and query optimization
MongoDB document modeling and complex aggregation pipelines
High-performance Redis caching and real-time data patterns
Polyglot persistence strategies for hybrid database architectures
Comprehensive database migration and scaling implementation guides
423 GitHub stars

使用场景

Implementing multi-layer caching and real-time analytics systems
Optimizing database performance through query analysis and indexing
Designing and migrating complex relational schemas for enterprise applications

关于

主要功能

Advanced PostgreSQL schema design, indexing, and query optimization
MongoDB document modeling and complex aggregation pipelines
High-performance Redis caching and real-time data patterns
Polyglot persistence strategies for hybrid database architectures
Comprehensive database migration and scaling implementation guides
423 GitHub stars

使用场景

Implementing multi-layer caching and real-time analytics systems
Optimizing database performance through query analysis and indexing
Designing and migrating complex relational schemas for enterprise applications