🎯

cqrs-implementation

🎯Skill

A guide to CQRS, a way of designing software that keeps the code that changes data separate from the code that reads it. It helps apps handle many reads and complex reports.

wshobson/agents8,482 Installs27,673Added Jan 31, 2026

Installation

$npx skills add wshobson/agents --skill cqrs-implementation

Run it in a terminal; it asks which AI coding tools to install it for (Claude Code, Codex, Cursor and more).

Uses skills.sh Β· Node.js 22.20+

After installing

Ask for related work and the agent uses it on its own, or call it yourself.

Run it (Claude Code)/cqrs-implementation
Install by hand

Copy the whole skill folder from GitHub to the place below. Copying only SKILL.md can leave out files the skill uses.

Open the skill folder β†’
  • This project .claude/skills/cqrs-implementation/
  • All projects ~/.claude/skills/cqrs-implementation/

These paths are for Claude Code. For other tools, the command above puts it in the right place.

What this skill does

Overview

This skill explains how to build systems with CQRS (Command Query Responsibility Segregation). In plain terms, requests that change data (commands) and requests that read data (queries) go through separate paths. Changes are recorded as events, and those events keep a separate, fast-to-read copy of the data up to date.

Key Features

  • See a diagram of how commands, queries and events move through the system.
  • Learn what each part does, including projectors, which update the read copy from events.
  • Open full templates and worked examples in references/details.md when you need code.
  • Follow do's and don'ts, such as checking input before saving and versioning your events.

Who is this for?

This is for developers designing apps where reading data is much heavier than writing, or where reports must be fast. It also helps teams building event-sourced systems, which store every change as a history of events. The guide warns against adding this complexity when a simple design is enough.

Summarized by AI from this skill's SKILL.md. Suggest a better one

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

CQRS Implementation

Comprehensive guide to implementing CQRS (Command Query Responsibility Segregation) patterns.

When to Use This Skill

  • Separating read and write concerns
  • Scaling reads independently from writes
  • Building event-sourced systems
  • Optimizing complex query scenarios
  • Different read/write data models needed
  • High-performance reporting requirements

Core Concepts

1. CQRS Architecture

                    β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
                    β”‚   Client    β”‚
                    β””β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”˜
                           β”‚
              β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”΄β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
              β”‚                         β”‚
              β–Ό                         β–Ό
       β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”          β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
       β”‚  Commands   β”‚          β”‚   Queries   β”‚
       β”‚    API      β”‚          β”‚    API      β”‚
       β””β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”˜          β””β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”˜
              β”‚                         β”‚
              β–Ό                         β–Ό
       β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”          β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
       β”‚  Command    β”‚          β”‚   Query     β”‚
       β”‚  Handlers   β”‚          β”‚  Handlers   β”‚
       β””β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”˜          β””β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”˜
              β”‚                         β”‚
              β–Ό                         β–Ό
       β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”          β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
       β”‚   Write     │─────────►│    Read     β”‚
       β”‚   Model     β”‚  Events  β”‚   Model     β”‚
       β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜          β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜

2. Key Components

ComponentResponsibility
CommandIntent to change state
Command HandlerValidates and executes commands
EventRecord of state change
QueryRequest for data
Query HandlerRetrieves data from read model
ProjectorUpdates read model from events

Templates and detailed worked examples

Full template library and detailed worked examples live in references/details.md. Read that file when you need the concrete templates.

Best Practices

Do's

  • Separate command and query models - Different needs
  • Use eventual consistency - Accept propagation delay
  • Validate in command handlers - Before state change
  • Denormalize read models - Optimize for queries
  • Version your events - For schema evolution

Don'ts

  • Don't query in commands - Use only for writes
  • Don't couple read/write schemas - Independent evolution
  • Don't over-engineer - Start simple
  • Don't ignore consistency SLAs - Define acceptable lag

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