# 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.

- Skill: `phoroth/cqrs-implementation` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds add phoroth/cqrs-implementation`
- Raw SKILL.md: https://api.skillmd.com/api/skills/phoroth/cqrs-implementation/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: phoroth (https://skillmd.com/u/phoroth)
- Updated: 2026-09-08
- Page: https://skillmd.com/skills/phoroth/cqrs-implementation

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# 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 enprojectnment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.