event-store-design

Design event store architecture with PostgreSQL, Python, EventStoreDB, and DynamoDB templates.

2|Updated Jan 18, 2026
One-click install
npx skills add https://github.com/as4584/antigravity-skills --skill event-store-design-as4584
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: event-store-design
Source: https://github.com/as4584/antigravity-skills/tree/main/agents-wshobson/plugins/backend-development/skills/event-store-design
Command: npx skills add https://github.com/as4584/antigravity-skills --skill event-store-design-as4584

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides comprehensive 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 flow of an event store.
  • Technology Comparison: Evaluate different technologies like EventStoreDB, PostgreSQL, Kafka, DynamoDB, and Marten for suitability.
  • Implementation Templates: Get ready-to-use SQL schemas for PostgreSQL and Python code examples for a basic event store implementation, along with EventStoreDB and DynamoDB usage patterns.
  • Best Practices: Learn essential do's and don'ts for effective event store design and management.

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?

Design an event store by defining architecture components, technology requirements, and data schemas. Use templates for PostgreSQL schemas, Python implementations, and EventStoreDB patterns to build scalable event-sourced systems.

What is the best way to implement an event store with PostgreSQL?

Implement an event store with PostgreSQL by using ready-to-use SQL schemas and Python code examples. These templates enforce best practices for immutability, versioning, and concurrency control in event sourcing.

How does EventStoreDB compare to DynamoDB for event sourcing?

EventStoreDB and DynamoDB offer distinct event store usage patterns. Compare them against PostgreSQL, Kafka, and Marten to evaluate suitability for your architecture, scale, and specific event sourcing requirements.

What are the best practices for event store concurrency control and versioning?

Event store concurrency control and versioning best practices include enforcing immutability and applying specific do's and don'ts for effective event store design and management in distributed systems.

When should I not use PostgreSQL for an event store?

Avoid PostgreSQL for an event store when your architecture requires specialized event sourcing features better supported by EventStoreDB, or when your throughput needs align more closely with DynamoDB or Kafka usage patterns.