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projection-patterns

Build read models and projections from event streams. Use when implementing CQRS read sides, building materialized views, or optimizing query performance in event-sourced systems.

26,022stars2,863forksUpdated 1/20/2026
Data Science & ML#cqrs#data-aggregation#read-models#projection-patterns#python#event-sourcing

Security Assessment

Safe(100/100)
Security Score100/100

About projection-patterns

The 'projection-patterns' skill is designed to facilitate the construction of read models and projections derived from event streams. It addresses the challenges commonly faced in event-sourced systems, particularly in the implementation of the Command Query Responsibility Segregation (CQRS) pattern. By leveraging this skill, developers can efficiently create and maintain read models that are optimized for querying, thereby enhancing the overall performance of their applications while ensuring data consistency and accuracy across various views and dashboards.

FAQ

What types of projections can be built using this skill?

This skill supports live, catchup, persistent, and inline projections, each suited for different use cases.

Is this skill compatible with existing event stores?

Yes, the skill can be integrated with any event store that provides access to events.

What are the requirements for using this skill?

To utilize this skill, you need to have an event store and a mechanism for storing checkpoints.

Can this skill be used for real-time applications?

Absolutely, it is designed to facilitate real-time dashboards and optimize query performance.

What programming language is used in the provided templates?

The templates are written in Python.

Install projection-patterns

Download and extract the skill files to your .claude/skills/ directory.

Quick Setup:

  1. Copy the skill folder to .claude/skills/
  2. Claude will automatically detect and use the skill

Repository

wshobson/agents

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