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wshobson/agents/plugins/backend-development/skills/cqrs-implementation/SKILL.md

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.

Source repository stars
38,313
Declared platforms
0
Static risk flags
1
Last source update
2026-07-22
Source checked
2026-07-28

Decision brief

What it does—and where it fits

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

Best for

  • Separating read and write concerns
  • Scaling reads independently from writes
  • Building event-sourced systems

Not for

  • Tasks that require unconfirmed production actions or broad system permissions.
  • Environments where the pinned source and install steps cannot be inspected.

Compatibility matrix

Platform support, with evidence labels

PlatformStatusEvidenceWhat to check
CodexNot declaredNo explicit evidencePortability before use
Claude CodeNot declaredNo explicit evidencePortability before use
CursorNot declaredNo explicit evidencePortability before use
Gemini CLINot declaredNo explicit evidencePortability before use
Open the compatibility checker

Installation

Inspect first. Install second.

The source command is displayed only when detected. A safe inspection prompt is always available so your agent can explain every action before execution.

Source-detected install commandSource
npx skills add https://github.com/wshobson/agents --skill "plugins/backend-development/skills/cqrs-implementation"
Safe inspection promptEditorial

Inspect the Agent Skill "cqrs-implementation" from https://github.com/wshobson/agents/blob/c4b82b0ad771190355eb8e204b1329732a18449a/plugins/backend-development/skills/cqrs-implementation/SKILL.md at commit c4b82b0ad771190355eb8e204b1329732a18449a. List every install step, command, network request, credential, file read/write, external action, and rollback step. Explain whether it fits my task. Do not install or execute anything until I approve.

Workflow

What the source asks the agent to do

  1. 01

    When to Use This Skill

    Separating read and write concerns

    Separating read and write concernsScaling reads independently from writesBuilding event-sourced systems
  2. 02

    Core Concepts

    Review the “Core Concepts” section in the pinned source before continuing.

    Review and apply the “Core Concepts” source section.
  3. 03

    1. CQRS Architecture

    Review the “1. CQRS Architecture” section in the pinned source before continuing.

    Review and apply the “1. CQRS Architecture” source section.
  4. 04

    2. Key Components

    Review the “2. Key Components” section in the pinned source before continuing.

    Review and apply the “2. Key Components” source section.

Permission review

Static risk signals and limitations

Reads files

low · line 57

The documentation asks the agent to read local files, directories, or repositories.

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

Evidence record

Why each signal appears

EvidenceSourceComputedTestedEditorial
SignalValueEvidence typeMeaning
Quality score69/100ComputedDocumentation, specificity, maintenance, and trust rules
Repository stars38,313SourceRepository attention, not individual Skill quality
Compatibility0 platformsSourceDeclared in the catalog source record
Usage guideautomated source guideEditorialGenerated or reviewed according to the visible evidence level

Pinned source

Provenance and original SKILL.md

Repository
wshobson/agents
Skill path
plugins/backend-development/skills/cqrs-implementation/SKILL.md
Commit
c4b82b0ad771190355eb8e204b1329732a18449a
License
MIT
Collected
2026-07-28
Default branch
main
View the original SKILL.md

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

                    ┌─────────────┐
                    │   Client    │
                    └──────┬──────┘
                           │
              ┌────────────┴────────────┐
              │                         │
              ▼                         ▼
       ┌─────────────┐          ┌─────────────┐
       │  Commands   │          │   Queries   │
       │    API      │          │    API      │
       └──────┬──────┘          └──────┬──────┘
              │                         │
              ▼                         ▼
       ┌─────────────┐          ┌─────────────┐
       │  Command    │          │   Query     │
       │  Handlers   │          │  Handlers   │
       └──────┬──────┘          └──────┬──────┘
              │                         │
              ▼                         ▼
       ┌─────────────┐          ┌─────────────┐
       │   Write     │─────────►│    Read     │
       │   Model     │  Events  │   Model     │
       └─────────────┘          └─────────────┘

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