Can I use this for CQRS architectures?

Yes, this skill is specifically designed to handle the 'Write Model' or 'Command' side of CQRS by ensuring a reliable, append-only event stream.

Does it include code for event subscriptions?

Yes, it includes implementation patterns for global event subscriptions and checkpointing to facilitate building 'Read Models' and reactive services.

Which database technologies does this skill cover?

The skill provides comprehensive guides and implementation templates for EventStoreDB, PostgreSQL, Apache Kafka, and DynamoDB.

How does the skill handle data consistency?

It implements optimistic concurrency control patterns using stream versioning to prevent data loss or race conditions during event appends.

Is this suitable for high-throughput production systems?

The skill includes specific guidance on scaling, indexing, and technology selection to match various throughput and latency requirements.

Event Store Design

Name: Event Store Design
Author: wshobson

bywshobson

•

23,194

Gestión de Bases de Datos

Designs and implements robust event stores for event-sourced systems using various database backends and architectural patterns.

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The Event Store Design skill equips Claude with specialized knowledge to architect and implement the persistence layer for event-sourced applications. It provides detailed guidance on selecting the optimal storage technology—including EventStoreDB, PostgreSQL, Kafka, and DynamoDB—while offering production-ready templates for schemas, optimistic concurrency control, and stream versioning. Whether you are building a greenfield microservice or implementing CQRS, this skill ensures your event store is append-only, ordered, and scalable.

Características Principales

Optimized schema templates for PostgreSQL, EventStoreDB, and DynamoDB
23,194 GitHub stars
Comparative analysis of event store technologies and trade-offs
Best practices for global event ordering and aggregate stream design
Implementation patterns for optimistic concurrency and versioning
Scalable subscription and checkpoint management strategies

Casos de Uso

Implementing high-fidelity audit logs and historical state tracking
Building microservices architectures based on Event Sourcing and CQRS patterns
Designing custom event store infrastructure on top of existing relational or NoSQL databases

Acerca de

Características Principales

Optimized schema templates for PostgreSQL, EventStoreDB, and DynamoDB
23,194 GitHub stars
Comparative analysis of event store technologies and trade-offs
Best practices for global event ordering and aggregate stream design
Implementation patterns for optimistic concurrency and versioning
Scalable subscription and checkpoint management strategies

Casos de Uso

Implementing high-fidelity audit logs and historical state tracking
Building microservices architectures based on Event Sourcing and CQRS patterns
Designing custom event store infrastructure on top of existing relational or NoSQL databases