How to use the CQRS Implementation Guide agent skill

What the skill makes the agent do

An agent skill is a folder of instructions that an AI agent loads when a task matches the skill's description. This one covers CQRS. Its main file, SKILL.md, lists when to use the pattern, the core components, and a set of do's and don'ts. A second file, references/details.md, holds a template library and worked examples that the agent reads when it needs concrete code.

• Explains separating read and write concerns, scaling reads independently, and building event-sourced systems
• Names the core components: command, command handler, event, query, query handler and projector
• Provides Python templates for command infrastructure, such as a command base class, concrete commands like CreateOrder, and a generic command handler base
• Reminds the agent of practices such as separating command and query models, using eventual consistency, validating in command handlers, and versioning events

Install the cqrs-implementation skill

Download the ZIP of the skill from the page you are reading. Then choose one of the two install routes below.

For a personal setup, unzip the download into ~/.claude/skills/. For a single project, unzip it into that project's .claude/skills/ folder. In the Claude apps, you can instead upload the ZIP under Settings → Capabilities → Skills.

• Personal install: unzip into ~/.claude/skills/
• Project install: unzip into the project's .claude/skills/ folder
• Claude apps: Settings → Capabilities → Skills, then upload the ZIP

How to trigger the skill with natural requests

You do not need a special command. The skill's description tells the agent when to use it: separating read and write models, optimizing query performance, or building event-sourced systems. Ask in plain language that touches one of those topics, and the agent can load the skill.

• "Should our reporting service use CQRS, or is a normal CRUD design enough?"
• "Design the commands, queries and events for an order service with separate read and write models."
• "Write a command handler for CancelOrder that validates the order state before changing it."
• "Plan a projector that builds a read model from order events."

What it needs and how it runs

The skill lists no requirements. It does not run scripts and does not use the network. It is guidance and templates, not an installable framework, so the agent writes the code for your project rather than importing a library from this skill.

• Requirements: none listed
• Runs scripts: no
• Uses network: no

Tips for getting useful results

Give the agent your context. Describe the load pattern, the read shapes your users need, and whether you already use events. The skill's own guidance warns against over-engineering, so a clear picture of your problem helps the agent decide whether CQRS fits at all.

Check the consistency assumptions. The skill favours eventual consistency and says to define acceptable lag. If a feature needs read-after-write consistency everywhere, say so up front.

• Name your stack, since the templates are in Python
• State your consistency requirements early
• Ask the agent to start simple if the design looks heavy

Safety notes

Because the skill runs no scripts and uses no network, it cannot execute code or send data by itself. Code the agent writes is still code you should review and test before it reaches production, as with any agent output.