Does it support multi-database architectures?

Absolutely. It specializes in 'Polyglot Persistence,' helping you route data to the most appropriate database type based on the specific use case.

Can this skill help with database migrations?

Yes, it includes advanced patterns for schema migrations and versioning using tools like Alembic and Flyway to ensure safe database evolution.

What databases does this skill support?

This skill primarily focuses on PostgreSQL, MongoDB, and Redis, providing specific patterns for relational, document-based, and in-memory data management.

How does it handle performance tuning?

The skill provides automated query analysis, indexing strategies, and scaling patterns such as read replicas for PostgreSQL and sharding for MongoDB.

Domain Database Specialist

Name: Domain Database Specialist
Author: Microck

byMicrock

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数据库管理

Architects and optimizes scalable data solutions across PostgreSQL, MongoDB, and Redis using advanced persistence patterns.

关于

The Domain Database Specialist skill empowers Claude to design, implement, and optimize complex data architectures across multiple paradigms. It provides deep expertise in PostgreSQL for relational integrity, MongoDB for flexible document storage, and Redis for high-performance caching and real-time analytics. This skill is particularly valuable for developers building modern, scalable applications that require polyglot persistence, sophisticated query optimization, and robust migration strategies to ensure data consistency and performance at scale.

主要功能

Automated database migrations and schema management workflows
Comprehensive support for PostgreSQL, MongoDB, and Redis implementations
Scalable architecture design including sharding and read replicas
Advanced polyglot persistence and data synchronization patterns
Deep query performance analysis and indexing optimization
81 GitHub stars

使用场景

Implementing multi-layer caching strategies to reduce system latency
Designing complex database schemas for high-traffic microservices
Migrating and synchronizing data between relational and NoSQL stores

关于

主要功能

Automated database migrations and schema management workflows
Comprehensive support for PostgreSQL, MongoDB, and Redis implementations
Scalable architecture design including sharding and read replicas
Advanced polyglot persistence and data synchronization patterns
Deep query performance analysis and indexing optimization
81 GitHub stars

使用场景

Implementing multi-layer caching strategies to reduce system latency
Designing complex database schemas for high-traffic microservices
Migrating and synchronizing data between relational and NoSQL stores