cqrs-implementation

Solid

Implement Command Query Responsibility Segregation for scalable architectures. Use when separating read and write models, optimizing query performance, or building event-sourced systems.

AI & Automation 39,350 stars 6386 forks Updated today MIT

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Skill Content

# CQRS Implementation Comprehensive guide to implementing CQRS (Command Query Responsibility Segregation) patterns. ## Use this skill when - Separating read and write concerns - Scaling reads independently from writes - Building event-sourced systems - Optimizing complex query scenarios - Different read/write data models are needed - High-performance reporting is required ## Do not use this skill when - The domain is simple and CRUD is sufficient - You cannot operate separate read/write models - Strong immediate consistency is required everywhere ## Instructions - Identify read/write workloads and consistency needs. - Define command and query models with clear boundaries. - Implement read model projections and synchronization. - Validate performance, recovery, and failure modes. - If detailed patterns are required, open `resources/implementation-playbook.md`. ## Resources - `resources/implementation-playbook.md` for detailed CQRS patterns and templates.

Details

Author
sickn33
Repository
sickn33/antigravity-awesome-skills
Created
4 months ago
Last Updated
today
Language
Python
License
MIT

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