Agent skill · software engineering · aiskillstore
cqrs-implementation
Implement Command Query Responsibility Segregation for scalable architectures. Use when separating read and write models, optimizing query performance, or building event-sourced systems.
Why this skill is useful
Provides specific patterns and guidelines for implementing CQRS that the AI wouldn't reliably generate on its own.
What it needs
About 1k tokens when loaded. Last updated 2026-08-07. 405 stars on the source repository.
What this skill does
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. Limitations Use this skill only when the task clearly matches the scope described above. Do not treat the output as a substitute for environment-specific validation, testing, or expert review. Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills aiskillstore/cqrs-implementation