Can this skill help with database migrations?

Yes, it includes specialized workflows for schema migrations using tools like Alembic and Flyway, ensuring safe data transitions across versions.

Does it support performance tuning?

Absolutely. It features tools for query analysis (EXPLAIN ANALYZE), index management, and caching strategies to identify and resolve performance bottlenecks.

Which databases does this skill support?

This skill primarily focuses on PostgreSQL, MongoDB, and Redis, providing specialized modules for each, while also supporting general patterns for MySQL and other relational systems.

What is Polyglot Persistence in this context?

It refers to using different database technologies for different data requirements within the same application, such as using PostgreSQL for transactions and Redis for real-time state.

Database Domain Specialist

Name: Database Domain Specialist
Author: zellycloud

byzellycloud

数据库管理

Architects and optimizes robust database solutions across PostgreSQL, MongoDB, and Redis to support scalable application development.

关于

The Database Domain Specialist skill empowers Claude with enterprise-grade expertise for designing, implementing, and maintaining modern data architectures. It provides comprehensive guidance for relational modeling in PostgreSQL, document-based storage in MongoDB, and high-speed caching in Redis. Whether you are building polyglot persistence layers, optimizing complex query performance, or managing database migrations, this skill ensures your data infrastructure is scalable, performant, and reliable.

主要功能

Automated migration workflows and connection pool management
Polyglot persistence patterns for multi-database architectures
Real-time caching and distributed locking strategies with Redis
0 GitHub stars
Advanced schema design for PostgreSQL and MongoDB modeling
Deep query performance analysis and indexing optimization

使用场景

Designing scalable data architectures for high-traffic enterprise applications
Synchronizing data across heterogeneous systems for search and analytics
Implementing multi-layer caching to reduce latency and database load

关于

主要功能

Automated migration workflows and connection pool management
Polyglot persistence patterns for multi-database architectures
Real-time caching and distributed locking strategies with Redis
0 GitHub stars
Advanced schema design for PostgreSQL and MongoDB modeling
Deep query performance analysis and indexing optimization

使用场景

Designing scalable data architectures for high-traffic enterprise applications
Synchronizing data across heterogeneous systems for search and analytics
Implementing multi-layer caching to reduce latency and database load