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event-store-design

Design event stores with schemas, versioning, and append-only streams.

1|Updated Dec 23, 2025
Search Tags:#architecture#versioning#persistence#schemas#event-sourcing#streams#event-store
One-click install
npx skills add https://github.com/ccf/claude-code-ccf-marketplace --skill event-store-design
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: event-store-design
Source: https://github.com/ccf/claude-code-ccf-marketplace/tree/main/plugins/backend-development/skills/event-store-design
Command: npx skills add https://github.com/ccf/claude-code-ccf-marketplace --skill event-store-design

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps engineers design and implement robust event stores for event-sourced architectures, enabling durable persistence and predictable event history.

Core Features & Use Cases

  • Store selection & architecture: Evaluate candidate event stores (database-backed, log-based, or hybrid) and decide on streaming, snapshots, and versioning strategies.
  • Schema & contracts: Define per-stream schemas, event types, and evolution rules with backward-compatible changes.
  • Scalability & reliability: Design for high-throughput writes, causal ordering, and fault tolerance across multiple streams and subsystems.
  • Use Case: For an e-commerce domain, design an order stream with events like OrderCreated, OrderPaid, and OrderShipped, including snapshotting and projections.

Quick Start

Set up an initial event store plan for a sample Order domain, define a basic stream "ORDER-<uuid>", and append a few example events to validate schema and versioning.

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-sourced architectures?▼

Design an event store by evaluating database-backed or log-based stores, defining per-stream schemas, enforcing append-only semantics, and planning snapshots and versioning strategies to ensure durable event persistence.

What is per-stream versioning in event sourcing?▼

Per-stream versioning tracks the sequence of events within an individual stream, ensuring predictable event history, enforcing causal ordering, and enabling consistent projections across multiple streams and domains.

How do I handle schema evolution and backward-compatible changes in an event store?▼

Handle schema evolution by defining clear event contracts and per-stream schemas with explicit evolution rules that enforce backward-compatible changes, ensuring reliable event querying without breaking existing projections.

What's the best way to scale event store writes for high-throughput domains?▼

Scale event store writes by designing for high-throughput persistence across multiple streams and subsystems, utilizing hybrid or log-based stores with snapshotting to maintain fault tolerance and causal ordering.

When do I need snapshots in an event-sourced application?▼

You need snapshots in an event-sourced application to optimize projection rebuilding and state recovery, reducing the overhead of replaying long event streams while maintaining reliable event querying and append-only semantics.

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