cqrs-implementation

Implements CQRS patterns separating command and query models in Python applications.

Updated May 20, 2026
One-click install
npx skills add https://github.com/TechCorp25/kingdom --skill cqrs-implementation-techcorp25
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: cqrs-implementation
Source: https://github.com/TechCorp25/kingdom/tree/main/.claude/skills/backend-development/skills/cqrs-implementation
Command: npx skills add https://github.com/TechCorp25/kingdom --skill cqrs-implementation-techcorp25

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires fastapi, pydantic.

What problem does it solve? It guides the implementation of Command Query Responsibility Segregation so read and write workloads can scale independently without coupling a single data model to both concerns. ## Core Features & Use Cases - Command Infrastructure: Templates for commands, command handlers, and a command bus with validation before state changes. - Query Infrastructure: Query handlers, paginated read models, and a query bus backed by denormalized read stores. - Event Synchronization: Read model synchronizers, projection rebuilds, and read-your-writes consistency handling for event-sourced systems. - Use Case: Building a FastAPI order service where writes go through a command bus to an event store while reads hit a denormalized order_views table kept in sync by projections. ## Quick Start Ask the AI to implement a CQRS architecture for an order service with separate command and query buses, FastAPI endpoints, and event-driven read model synchronization.

Frequently Asked Questions about cqrs-implementation

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I implement CQRS in Python with FastAPI?▼

Define separate command and query classes, register handlers in command and query buses, and expose them through FastAPI endpoints. POST, PUT, and DELETE routes dispatch commands while GET routes dispatch queries against a denormalized read model.

What is the difference between a command bus and a query bus?▼

A command bus routes state-changing intents to command handlers that validate and persist events, while a query bus routes read requests to handlers that fetch data from optimized read models. Keeping them separate lets each side scale and evolve independently.

How do I keep CQRS read models in sync with events?▼

Use a read model synchronizer that polls the event store from a saved checkpoint and applies matching events to projections. Checkpoints are saved after each event, and projections can be rebuilt from scratch by resetting the checkpoint to zero.

How do I handle eventual consistency in CQRS queries?▼

Use a consistency-aware query handler that checks the projection version against the expected event version before returning data, retrying within a timeout. If the timeout expires, return the stale data with a warning flag.

When should I not use CQRS?▼

Avoid CQRS for simple CRUD applications where read and write needs are identical, since it adds event stores, projections, and consistency management overhead. Start simple and adopt CQRS only when read and write scaling or modeling needs genuinely diverge.