moai-domain-database

Name: moai-domain-database
Availability: InStock
Author: binee108

Coordinate multi-database data architecture across PostgreSQL, MongoDB, and Redis.

Updated Aug 23, 2026

Search Tags:#performance #database #postgresql #redis #data-modeling #mongodb #polyglot-persistence

Ready to run

npx skills add https://github.com/binee108/PasteTrader --skill moai-domain-database-binee108

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: moai-domain-database
Source: https://github.com/binee108/PasteTrader/tree/main/.claude/skills/moai-domain-database
Command: npx skills add https://github.com/binee108/PasteTrader --skill moai-domain-database-binee108

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides a comprehensive blueprint for building scalable data platforms by applying domain-native patterns across PostgreSQL, MongoDB, and Redis, enabling teams to design reliable, high-performance data architectures with consistent practices.

Core Features & Use Cases

Polyglot Persistence patterns: assign data storage across PostgreSQL, MongoDB, and Redis to optimize for performance and consistency.
Integration & migrations: guidance on cross-database transactions, data synchronization, and migration strategies.
Real-world use case: design a multi-database analytics pipeline that combines relational data, document stores, and in-memory caches for real-time dashboards.

Quick Start

Initialize a multi-database stack by provisioning PostgreSQL, MongoDB, and Redis instances and following the implementation patterns in this skill.

Frequently Asked Questions about moai-domain-database

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I design a polyglot persistence architecture using PostgreSQL, MongoDB, and Redis?▼

Polyglot persistence assigns data storage across PostgreSQL, MongoDB, and Redis to optimize for performance and consistency. This Skill coordinates that multi-database data architecture, enforcing domain patterns, integration guidelines, and best practices for scalable applications.

What is the best way to handle cross-database transactions and data synchronization?▼

Cross-database transactions and data synchronization require strict integration guidelines and migration strategies. This Skill provides coordination patterns for complex data modeling, ensuring reliable workflows and performance across PostgreSQL, MongoDB, and Redis.

Can I build a real-time analytics pipeline by combining relational data, document stores, and in-memory caches?▼

Yes, you can build a multi-database analytics pipeline combining PostgreSQL relational data, MongoDB document stores, and Redis in-memory caches. This architecture supports real-time dashboards by applying domain-native patterns for high-performance data retrieval.

When do I need polyglot persistence for enterprise-grade applications?▼

Enterprise-grade applications need polyglot persistence when complex data modeling and cross-database workflows exceed single-database capabilities. This approach coordinates data architecture across PostgreSQL, MongoDB, and Redis to enforce transactions, pooling, and performance.

How do I manage connection pooling and performance across multiple databases?▼

Managing connection pooling and performance across multiple databases requires enforced integration guidelines and best practices. This Skill coordinates transactions and pooling specifically for PostgreSQL, MongoDB, and Redis environments to maintain scalable data platforms.