Desktop App logo

Desktop App

Organization
ww-w-ai
desktop-app

Desktop app development guide for cross-platform applications. Covers Electron and Tauri frameworks. Use proactively when user wants to build desktop applications. Triggers: desktop app, Electron, Tauri, mac app, windows app, 데스크톱 앱, 데스크탑 앱, デスクトップアプリ, デスクトップ, 桌面应用, 桌面程序, aplicación de escritorio, app de escritorio, application de bureau, app desktop, Desktop-Anwendung, Desktop-App, applicazione desktop, app desktop Do NOT use for: web-only projects, mobile apps

Overview

Publisherww-w-ai
Repositorybkit-gemini
Skill namedesktop-app
Stars
66
Forks
16
Bundled files
Instructions only
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by ww-w-ai on GitHub. Read the source before you install it.

Installation

Install the Desktop App AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/ww-w-ai/bkit-gemini.git /tmp/bkit-gemini
mkdir -p .claude/skills
cp -r /tmp/bkit-gemini/skills/desktop-app .claude/skills/desktop-app
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Desktop App in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Desktop App on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Desktop App is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Desktop App Skill

Build cross-platform desktop applications

Frameworks

Tauri (Recommended)

Lightweight, secure, Rust-based.

bash
# 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.

bash
# 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

rust
// 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

typescript
// 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

typescript
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
bash
# Build for all platforms
npm run tauri build

Frequently asked questions

What does the Desktop App AI skill do?

Desktop app development guide for cross-platform applications. Covers Electron and Tauri frameworks. Use proactively when user wants to build desktop applications. Triggers: desktop app, Electron, Tauri, mac app, windows app, 데스크톱 앱, 데스크탑 앱, デスクトップアプリ, デスクトップ, 桌面应用, 桌面程序, aplicación de escritorio, app de escritorio, application de bureau, app desktop, Desktop-Anwendung, Desktop-App, applicazione desktop, app desktop Do NOT use for: web-only projects, mobile apps

Why use Desktop App on TypingMind?

Because you install it once and use it with any model. Desktop App is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Desktop App in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ww-w-ai/bkit-gemini/tree/main/skills/desktop-app. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Desktop App?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Desktop App?

As many as you like. As long as a model supports skills, you can use Desktop App with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Desktop App AI skill free?

Yes. It is published on GitHub by ww-w-ai under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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