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event-store-design

Design event store architecture with PostgreSQL schemas and Python implementations.

38.6k|4.1k|Updated Jul 24, 2025
Search Tags:#architecture#postgresql#python#ddd#event sourcing#event store
One-click install
npx skills add https://github.com/wshobson/agents --skill event-store-design-wshobson
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: event-store-design
Source: https://github.com/wshobson/agents/tree/main/plugins/backend-development/skills/event-store-design
Command: npx skills add https://github.com/wshobson/agents --skill event-store-design-wshobson

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) and scripts (resource) components.

What problem does it solve?

This Skill provides comprehensive guidance and templates for designing and implementing event stores, crucial for building robust event-sourced systems.

Core Features & Use Cases

  • Event Store Architecture: Understand the fundamental components and flow of an event store.
  • Technology Comparison: Evaluate different technologies like EventStoreDB, PostgreSQL, Kafka, DynamoDB, and Marten for suitability.
  • Implementation Templates: Provides ready-to-use SQL schemas for PostgreSQL and Python code examples for implementing event stores.
  • Use Case: When building a new microservice that requires event sourcing, use this Skill to understand the architectural patterns, choose the right database technology, and get started with a PostgreSQL schema or Python implementation.

Quick Start

Use the event-store-design skill to generate a PostgreSQL schema for an event store.

Frequently Asked Questions about event-store-design

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

FAQPage Schema
How do I design an event store for event sourcing?▼

Event store design requires defining the architecture for event persistence and retrieval, selecting a suitable database technology, and implementing schemas to capture domain events. This Skill provides templates, architectural patterns, and technology comparisons to build robust event-sourced systems.

What is the best database for an event store?▼

Choosing an event store database depends on your system requirements. This Skill compares EventStoreDB, PostgreSQL, Kafka, DynamoDB, and Marten, evaluating each technology for event persistence suitability and retrieval pattern support.

How do I implement an event store using PostgreSQL and Python?▼

You can implement an event store using PostgreSQL by generating SQL schemas for event persistence and using Python code templates for retrieval patterns. This Skill provides ready-to-use implementation templates for both.

Can I use DynamoDB or EventStoreDB for event sourcing?▼

Yes, both DynamoDB and EventStoreDB are evaluated for event sourcing suitability. This Skill provides specific guidance on using these technologies for event store infrastructure design and event persistence.

When should I use event sourcing in microservices?▼

Event sourcing is needed in microservices when you require an immutable audit log of state changes and robust event persistence. Use this Skill to understand architectural patterns and choose the right infrastructure for your new microservice.

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