event-store-design

Design per-stream event stores with append-only semantics and versioning.

1|Updated Apr 14, 2026
One-click install
npx skills add https://github.com/Sumeet138/qwen-code-agents --skill event-store-design-sumeet138
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: event-store-design
Source: https://github.com/Sumeet138/qwen-code-agents/tree/main/plugins/backend-development/skills/event-store-design
Command: npx skills add https://github.com/Sumeet138/qwen-code-agents --skill event-store-design-sumeet138

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps teams design and implement event stores for event-sourced architectures, solving challenges around immutability, per-stream versioning, and reliable persistence.

Core Features & Use Cases

  • Architecture guidance for selecting technologies (EventStoreDB, PostgreSQL, Kafka, DynamoDB) and modeling streams.
  • Schema, versioning, and snapshot strategies to support long-term retention and replay.
  • Use cases across microservices, CQRS, and domain-driven design with practical patterns.

Quick Start

Provide a starter event-store design for a simple ecommerce order system.

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 in microservices?

An event store requires append-only semantics, per-stream versioning, snapshots, subscriptions, and effective indexing strategies to support reliable persistence in event-sourced architectures.

What is the best way to handle per-stream versioning and snapshots for long-term event retention?

Per-stream versioning and snapshot strategies optimize replay performance by reducing the overhead of loading entire event streams, ensuring reliable long-term retention in event-sourced systems.

Can I use PostgreSQL or Kafka as an event store for CQRS architectures?

PostgreSQL and Kafka can serve as event stores for CQRS architectures by implementing append-only semantics, per-stream versioning, and subscriptions, though EventStoreDB and DynamoDB are also viable technology selections.

How do I model streams for an ecommerce order system using event sourcing?

Modeling streams for an ecommerce order system involves defining per-stream event sequences that capture state changes, supported by append-only semantics, per-stream versioning, and indexing strategies for reliable replay.

When should I implement append-only semantics and subscriptions in an event store?

Append-only semantics and subscriptions are essential in event-sourced architectures to ensure immutability for reliable persistence while enabling downstream components to react to per-stream state changes.