Builds high-performance read models and materialized views from event streams for event-sourced systems.
This skill provides specialized guidance and implementation patterns for building the read side of CQRS (Command Query Responsibility Segregation) architectures. It equips Claude with the architectural knowledge and code templates needed to transform raw event streams into optimized database tables, Elasticsearch indexes, and real-time dashboards. Whether you are implementing persistent checkpoints, handling historical catch-ups, or designing complex multi-table aggregations, this skill ensures your read models remain consistent, scalable, and performant.
Key Features
01Standardized templates for basic and advanced event projectors
02Pre-built logic for data aggregation and search index synchronization
03Support for Live, Catchup, Persistent, and Inline projection types
04Robust checkpointing mechanisms to ensure resume capability after restarts
05Implementation patterns for PostgreSQL (asyncpg) and Elasticsearch
060 GitHub stars
Use Cases
01Building optimized read-side views for microservices using CQRS
02Synchronizing search engines like Elasticsearch with event-sourced data
03Generating real-time business metrics and reporting dashboards from event streams
