How does the skill handle application errors?

It promotes a functional approach to error handling using a result match pattern, ensuring that errors are caught and returned as structured JSON responses with appropriate status codes.

Can I implement CQRS with this skill?

Yes, the skill is designed to work with CQRS patterns, helping you separate your read and write operations for better scalability and code clarity in Electron apps.

What is the primary benefit of using Hono IPC Patterns?

It provides standardized, type-safe patterns for Electron IPC using Hono, which significantly reduces bugs related to data transfer and inconsistent error handling between processes.

Does this skill support Zod for data validation?

Yes, it includes specific patterns for validating JSON payloads, query strings, and path parameters using Zod schemas within Hono routes.

Hono Electron IPC Patterns

Name: Hono Electron IPC Patterns
Author: naporin0624

bynaporin0624

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Desarrollo de API

Implements robust Inter-Process Communication (IPC) for Electron applications using Hono with type-safe Zod validation and structured error handling.

Acerca de

This Claude Code Skill provides specialized guidance for building maintainable Electron applications using Hono as the IPC layer. It enables developers to implement advanced patterns such as CQRS (Command Query Responsibility Segregation), rigorous schema validation using Zod for JSON and query parameters, and standardized error-matching logic. By providing a structured framework for communication between the main and renderer processes, it ensures type safety, improves debugging, and streamlines the development of complex desktop applications.

Características Principales

Type-safe Zod validation for JSON, query, and path parameters
Ready-to-use boilerplate for main-to-renderer communication
1 GitHub stars
Standardized Hono-based IPC architecture for Electron
CQRS implementation guidance for decoupled command/query logic
Advanced error handling patterns using functional result matching

Casos de Uso

Implementing a consistent error handling strategy across a desktop application
Refactoring complex IPC logic into structured CQRS-based Hono routes
Adding schema validation to Electron IPC routes to prevent runtime crashes

Acerca de

Características Principales

Type-safe Zod validation for JSON, query, and path parameters
Ready-to-use boilerplate for main-to-renderer communication
1 GitHub stars
Standardized Hono-based IPC architecture for Electron
CQRS implementation guidance for decoupled command/query logic
Advanced error handling patterns using functional result matching

Casos de Uso

Implementing a consistent error handling strategy across a desktop application
Refactoring complex IPC logic into structured CQRS-based Hono routes
Adding schema validation to Electron IPC routes to prevent runtime crashes