Implement Command Query Responsibility Segregation for scalable architectures. Use when separating read and write models, optimizing query performance, or building event-sourced systems.
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---
name: cqrs-implementation
description: "Implement Command Query Responsibility Segregation for scalable architectures. Use when separating read and write models, optimizing query performance, or building event-sourced systems."
license: CC-BY-NC-SA-4.0
metadata:
risk: unknown
source: community
date_added: "2026-02-27"
---
# 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.
