How does this skill handle reactive data updates?

The skill utilizes Observables for queries and leverages BehaviorSubject to notify the system whenever a command successfully updates the data.

Why does the skill use ResultAsync for commands?

ResultAsync provides a functional approach to error handling, ensuring that developers explicitly handle success and failure cases without relying on try-catch blocks.

What is the primary benefit of the CQRS Pattern skill?

It enforces a clean separation between data retrieval and state modification, making Electron service layers easier to test, maintain, and scale.

Is this skill specific to the Hono-Electron framework?

While optimized for Hono-Electron environments, the architectural patterns provided are applicable to any TypeScript-based service layer requiring CQRS.

CQRS Pattern for Electron

Name: CQRS Pattern for Electron
Author: naporin0624

bynaporin0624

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API Development

Standardizes Electron service architecture by implementing the CQRS pattern with Observables for queries and ResultAsync for commands.

About

This skill provides specialized guidance for implementing the Command Query Responsibility Segregation (CQRS) pattern within Electron applications. It helps developers maintain a clean architectural separation between read and write operations, utilizing Observable-based queries for reactive data streaming and ResultAsync-based commands for robust, error-resistant state mutations. By following these patterns, Claude can assist in building predictable, scalable, and highly reactive desktop service layers.

Key Features

ResultAsync command structures for type-safe error handling
1 GitHub stars
Standardized service interface templates for Electron main processes
BehaviorSubject integration for bridging state changes and notifications
Strict separation of Read (Queries) and Write (Commands) operations
Observable-based query implementation for real-time data updates

Use Cases

Designing reactive service layers for Electron-based desktop applications
Implementing automatic UI updates triggered by background command executions
Refactoring monolithic service methods into a modular CQRS architecture

About

Key Features

ResultAsync command structures for type-safe error handling
1 GitHub stars
Standardized service interface templates for Electron main processes
BehaviorSubject integration for bridging state changes and notifications
Strict separation of Read (Queries) and Write (Commands) operations
Observable-based query implementation for real-time data updates

Use Cases

Designing reactive service layers for Electron-based desktop applications
Implementing automatic UI updates triggered by background command executions
Refactoring monolithic service methods into a modular CQRS architecture