SkillHub Desktop provides a unified interface for managing AI coding skills across various development tools. It targets developers who utilize multiple AI coding assistants, offering a streamlined way to discover, install, create, and synchronize AI-powered coding functionalities, thereby enhancing productivity and simplifying workflow integration.

How It Works

This project employs a hybrid architecture, featuring a React 18 frontend (TypeScript, Tailwind CSS) and a Rust backend powered by Tauri v2. This combination allows for cross-platform desktop application development. State management is handled by Zustand, with internationalization via react-i18next. The application interacts with the SkillHub API to fetch and manage a catalog of AI skills, enabling features like one-click installation and cross-tool synchronization.

Quick Start & Requirements

• Primary install/run command: npm install to install dependencies, npm run tauri dev to run in development, and npm run tauri build to create a production build.
• Non-default prerequisites: Node.js (v18+), Rust (latest stable), Tauri CLI.
• Links: SkillHub Website, Documentation, Report Issues.

Highlighted Details

• Supports installation and management of skills for Claude Code, Cursor, OpenCode, Windsurf, Cline, Roo Code Aide, Augment, and TRAE IDE.
• Features AI-powered skill creation and enhancement (text expansion, simplification, rewriting, translation).
• Enables one-click installation of skills across multiple supported AI coding tools simultaneously.
• Includes multi-language support for English and Chinese (中文).

Maintenance & Community

The project is supported by the community-driven platform SkillHub.club. Key links for engagement include the official website, documentation, and issue tracker.

Licensing & Compatibility

The project is released under the MIT License, which permits commercial use and integration into closed-source projects.

Limitations & Caveats

The application's functionality is limited to the explicitly listed supported tools. As a desktop application, it requires local installation and setup of Node.js and Rust development environments. Specific performance benchmarks or detailed resource footprints are not provided in the README.