Desktop App Skill
SkillAI & modelsDesktop app development guide for cross-platform applications. Covers Electron and Tauri frameworks.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Desktop App Skill skill
What this skill tells your AI
The instructions your AI receives, as published by ww-w-ai/bkit-gemini in skills/desktop-app/SKILL.md and read by ahel’s review.
Build cross-platform desktop applications
Frameworks
Tauri (Recommended)
Lightweight, secure, Rust-based.
# Create new Tauri project
npm create tauri-app
cd my-app
npm run tauri dev
Pros:
- Small bundle size (~5MB)
- High performance
- Better security
- Use any frontend framework
Electron
Chromium-based, widely used.
# Create with electron-forge
npm init electron-app@latest my-app
cd my-app
npm start
Pros:
- Mature ecosystem
- Large community
- Easy to learn
- Full Node.js access
Project Structure (Tauri)
my-app/
├── src/ # Frontend (React, Vue, etc.)
│ ├── App.tsx
│ └── main.tsx
├── src-tauri/ # Rust backend
│ ├── src/
│ │ └── main.rs
│ ├── tauri.conf.json
│ └── Cargo.toml
└── package.json
Key Features
System Tray
// src-tauri/src/main.rs
use tauri::SystemTray;
fn main() {
let tray = SystemTray::new();
tauri::Builder::default()
.system_tray(tray)
.run(tauri::generate_context!())
.expect("error");
}
Native Dialogs
// Frontend
import { open, save } from '@tauri-apps/api/dialog';
async function openFile() {
const selected = await open({
filters: [{ name: 'Text', extensions: ['txt'] }]
});
return selected;
}
File System
import { readTextFile, writeTextFile } from '@tauri-apps/api/fs';
async function saveFile(path: string, content: string) {
await writeTextFile(path, content);
}
Deployment
- macOS: .dmg, .app
- Windows: .msi, .exe
- Linux: .deb, .AppImage
# Build for all platforms
npm run tauri build
Signals
- GitHub stars
- 65
- Forks
- 16
- Last commit
- May 2026
Advanced
- Catalog kind
- skill
- Gateway key
desktop-app- Source
- github.com/ww-w-ai/bkit-gemini