event-store-design

Design event stores with PostgreSQL schemas and Python implementation templates.

3|Updated Jan 8, 2026
One-click install
npx skills add https://github.com/DrLuggels/my_dhbw --skill event-store-design-drluggels
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: event-store-design
Source: https://github.com/DrLuggels/my_dhbw/tree/main/.claude/plugins/backend-development/skills/event-store-design
Command: npx skills add https://github.com/DrLuggels/my_dhbw --skill event-store-design-drluggels

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

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

Core Features & Use Cases

  • Event Store Architecture: Understand the fundamental components and data flow of an event store.
  • Technology Comparison: Evaluate different technologies like EventStoreDB, PostgreSQL, Kafka, DynamoDB, and Marten for suitability.
  • Implementation Templates: Provides SQL schemas for PostgreSQL and Python code examples for a PostgreSQL-based event store, along with usage examples for EventStoreDB and DynamoDB.
  • Use Case: When building a new microservice that requires event sourcing, use this Skill to understand the design considerations, choose the right technology, and get started with a solid implementation template.

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
What is an event store and how does it work for event sourcing?

An event store is an append-only, ordered, versioned, and subscribable persistence mechanism that captures domain events for event-sourced systems. It enables reconstructing application state by sequentially replaying stored events through the data flow architecture.

How do I design a PostgreSQL schema for an event store?

Designing a PostgreSQL event store schema involves creating append-only tables that enforce event ordering and versioning. This skill provides SQL schema templates and Python code examples to implement a robust PostgreSQL-based event store for domain-driven design.

EventStoreDB vs PostgreSQL: what is the best way to implement an event store?

When implementing an event store, comparing EventStoreDB and PostgreSQL involves evaluating purpose-built event sourcing features against relational database flexibility. This skill provides a technology comparison covering EventStoreDB, PostgreSQL, Kafka, DynamoDB, and Marten to guide your architecture choice.

Can I use DynamoDB to build an event-sourced system?

Yes, you can use DynamoDB to build an event-sourced system by leveraging its append-only and ordered data persistence capabilities. This skill provides specific implementation templates and usage examples for setting up a DynamoDB event store.

What are the core requirements for event store persistence in domain-driven design?

Core requirements for event store persistence in domain-driven design include supporting append-only writes, strict event ordering, version tracking, and subscriptions. This skill addresses these architectural patterns to ensure scalable and maintainable event-sourced systems.