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Electron Dev

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jamditis
electron-dev

Electron desktop apps with React, TypeScript, and Vite. Use for IPC, window/tray, PTY terminals, WebRTC, and packaging.

Overview

Publisherjamditis
Repositoryclaude-skills-journalism
Skill nameelectron-dev
Stars
397
Forks
64
Bundled files
1
LicenseMIT
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.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by jamditis on GitHub. Read the source before you install it.

Installation

Install the Electron Dev 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/jamditis/claude-skills-journalism.git /tmp/claude-skills-journalism
mkdir -p .claude/skills
cp -r /tmp/claude-skills-journalism/dev-toolkit/skills/electron-dev .claude/skills/electron-dev
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Electron Dev 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 Electron Dev 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 Electron Dev 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.

Electron desktop development

Patterns and practices for building production-quality Electron applications with React and TypeScript.

Security baseline (Electron 30+)

Electron's defaults have hardened over the past several releases. As of Electron 28+, contextIsolation: true and sandbox: true are the defaults for new BrowserWindow instances, most security advice from older guides assumed you had to opt in. You don't anymore; you have to opt OUT, and you should not.

Set explicitly anyway, so a config drift never weakens the security model:

javascript
const win = new BrowserWindow({
  webPreferences: {
    contextIsolation: true,        // default since 12, mandatory for any prod app
    sandbox: true,                  // default since 28; renderer runs sandboxed
    nodeIntegration: false,         // never enable in renderer
    webSecurity: true,              // never disable
    preload: path.join(__dirname, 'preload.cjs')
  }
});

Validate every IPC message in main. Don't trust the renderer.

Electron Fuses + ASAR integrity

Electron Fuses are package-time toggles baked into the binary. The two relevant for security distribution:

  • EnableEmbeddedAsarIntegrityValidation, verifies the app.asar hash at runtime against a hash embedded in the binary. Defends against attackers swapping the asar contents post-install.
  • OnlyLoadAppFromAsar, refuses to load app code from anywhere except the validated asar.

These are opt-in, not default. Enable both for production. Requires @electron/asar 3.1.0+ to generate the asar with embeddable integrity. electron-builder configures this via electronFuses in the build config; @electron/fuses does it programmatically.

CVE-2023-44402 (ASAR integrity bypass via filetype confusion) was the canonical motivation here, without integrity + only-load-from-asar, an attacker who can modify app files can swap behavior silently.

Common renderer-side risks

  • Preload script confusion, only expose narrow, typed surfaces via contextBridge.exposeInMainWorld. Never re-export ipcRenderer itself; expose specific methods that map to specific channels.
  • file:// IPC and navigation, restrict navigation with webContents.on('will-navigate', e => e.preventDefault()) for windows that shouldn't change URL. Deny setWindowOpenHandler requests by default; allow-list specific origins.
  • shell.openExternal with user input, validate the URL scheme before opening. An attacker-controlled file:// or javascript: URL hands them code execution.

Architecture patterns

Project structure

app/
├── electron/
│   ├── main.cjs              # Main process (CommonJS required)
│   ├── preload.cjs           # Context bridge for secure IPC
│   └── server.cjs            # Optional: WebSocket/HTTP server
├── src/
│   ├── components/           # React components
│   ├── services/             # Business logic (API clients, Firebase)
│   ├── utils/                # Utilities (audio, formatting)
│   ├── types.ts              # TypeScript interfaces
│   ├── App.tsx               # Root component
│   └── index.tsx             # React entry
├── assets/                   # Icons, sounds, images
├── package.json
├── vite.config.ts
└── electron-builder.yml      # Build configuration

IPC communication pattern

Main process (main.cjs):

javascript
const { ipcMain } = require('electron');

// Handle async requests from renderer
ipcMain.handle('action-name', async (event, args) => {
  try {
    const result = await someAsyncOperation(args);
    return { success: true, data: result };
  } catch (error) {
    return { success: false, error: error.message };
  }
});

// Send data to renderer
mainWindow.webContents.send('event-name', data);

Preload script (preload.cjs):

javascript
const { contextBridge, ipcRenderer } = require('electron');

contextBridge.exposeInMainWorld('electron', {
  actionName: (args) => ipcRenderer.invoke('action-name', args),
  onEventName: (callback) => {
    const handler = (event, data) => callback(data);
    ipcRenderer.on('event-name', handler);
    return () => ipcRenderer.removeListener('event-name', handler);
  }
});

Renderer (React):

typescript
const result = await window.electron.actionName(args);

useEffect(() => {
  return window.electron.onEventName((data) => {
    setState(data);
  });
}, []);

System tray integration

javascript
const { Tray, Menu, nativeImage } = require('electron');

let tray = null;

function createTray() {
  const icon = nativeImage.createFromPath(path.join(__dirname, '../assets/tray-icon.png'));
  tray = new Tray(icon.resize({ width: 16, height: 16 }));

  tray.setToolTip('App Name');
  tray.setContextMenu(Menu.buildFromTemplate([
    { label: 'Show', click: () => mainWindow.show() },
    { label: 'Quit', click: () => app.quit() }
  ]));

  tray.on('click', () => {
    mainWindow.isVisible() ? mainWindow.hide() : mainWindow.show();
  });
}

// Hide to tray instead of closing
mainWindow.on('close', (event) => {
  if (!app.isQuitting) {
    event.preventDefault();
    mainWindow.hide();
  }
});

Global shortcuts

javascript
const { globalShortcut } = require('electron');

app.whenReady().then(() => {
  // Register with conflict detection
  const registered = globalShortcut.register('Alt+S', () => {
    mainWindow.webContents.send('shortcut-triggered', 'toggle-recording');
  });

  if (!registered) {
    console.error('Shortcut registration failed - conflict detected');
  }
});

app.on('will-quit', () => {
  globalShortcut.unregisterAll();
});

PTY terminal integration (node-pty)

javascript
const pty = require('node-pty');

const shell = process.platform === 'win32' ? 'powershell.exe' : process.env.SHELL || '/bin/bash';

const ptyProcess = pty.spawn(shell, [], {
  name: 'xterm-256color',
  cols: 80,
  rows: 24,
  cwd: process.env.HOME,
  env: process.env
});

ptyProcess.onData((data) => {
  mainWindow.webContents.send('terminal-data', { tabId, data });
});

ipcMain.on('terminal-write', (event, { tabId, data }) => {
  ptyProcess.write(data);
});

ipcMain.on('terminal-resize', (event, { tabId, cols, rows }) => {
  ptyProcess.resize(cols, rows);
});

Audio recording workflow

typescript
// Request microphone access
const stream = await navigator.mediaDevices.getUserMedia({
  audio: {
    echoCancellation: true,
    noiseSuppression: true,
    autoGainControl: true
  }
});

// Record audio
const mediaRecorder = new MediaRecorder(stream, { mimeType: 'audio/webm' });
const chunks: Blob[] = [];

mediaRecorder.ondataavailable = (e) => chunks.push(e.data);
mediaRecorder.onstop = async () => {
  const blob = new Blob(chunks, { type: 'audio/webm' });
  const base64 = await blobToBase64(blob);
  // Send to transcription API
};

mediaRecorder.start();
// Later: mediaRecorder.stop();

WebRTC patterns (PeerJS)

typescript
import Peer from 'peerjs';

const peer = new Peer(userId, {
  host: 'peerjs-server.com',
  port: 443,
  secure: true
});

// Answer incoming calls
peer.on('call', (call) => {
  call.answer(localStream);
  call.on('stream', (remoteStream) => {
    audioElement.srcObject = remoteStream;
  });
});

// Make outgoing calls
const call = peer.call(remoteUserId, localStream);
call.on('stream', (remoteStream) => {
  audioElement.srcObject = remoteStream;
});

// Screen sharing via replaceTrack (no renegotiation)
const screenStream = await navigator.mediaDevices.getDisplayMedia({ video: true });
const videoTrack = screenStream.getVideoTracks()[0];
const sender = peerConnection.getSenders().find(s => s.track?.kind === 'video');
await sender.replaceTrack(videoTrack);

Build configuration (electron-builder.yml)

yaml
appId: com.yourname.appname
productName: AppName
directories:
  output: release

win:
  target:
    - target: nsis
      arch: [x64]
  icon: assets/icon.ico

nsis:
  oneClick: false
  allowToChangeInstallationDirectory: true
  installerIcon: assets/icon.ico
  uninstallerIcon: assets/icon.ico

mac:
  target:
    - target: dmg
      arch: [x64, arm64]
  icon: assets/icon.icns
  hardenedRuntime: true
  gatekeeperAssess: false
  entitlements: build/entitlements.mac.plist
  entitlementsInherit: build/entitlements.mac.plist
  notarize:
    teamId: YOUR_APPLE_TEAM_ID

linux:
  target:
    - target: AppImage
      arch: [x64]
  icon: assets/icon.png

publish:
  provider: github
  owner: username
  repo: repo-name

extraResources:
  - from: "node_modules/node-pty/build/Release/"
    to: "node-pty/"
    filter: ["*.node"]

macOS notarization is required for distribution outside the App Store; Gatekeeper blocks unnotarized apps on first launch. Set the env vars APPLE_ID, APPLE_APP_SPECIFIC_PASSWORD, and APPLE_TEAM_ID (or use an App Store Connect API key) before running npm run package. electron-builder ≥ 24.13 handles notarization natively via the mac.notarize field; older versions require the electron-notarize afterSign hook.

For Windows, code signing with an EV cert is increasingly necessary to avoid SmartScreen warnings. electron-builder reads CSC_LINK (PFX) and CSC_KEY_PASSWORD env vars.

Common pitfalls

Stale closures in callbacks:

typescript
// Problem: State is stale in async callbacks
const [state, setState] = useState(initialValue);
peer.on('call', () => {
  console.log(state); // Always shows initialValue
});

// Solution: Use refs for async callback access
const stateRef = useRef(state);
useEffect(() => { stateRef.current = state; }, [state]);
peer.on('call', () => {
  console.log(stateRef.current); // Current value
});

Context isolation security:

  • Never expose ipcRenderer directly to renderer
  • Always use contextBridge.exposeInMainWorld()
  • Validate all IPC arguments in main process
  • Use TypeScript interfaces for IPC contracts

BrowserView is deprecated, use WebContentsView:

BrowserView was deprecated in Electron 30 (April 2024) and the underlying implementation has been replaced. BrowserView still works as a compatibility shim over WebContentsView, but new code should target WebContentsView directly. The constructors take the same webPreferences shape, so the migration is mostly mechanical. The differences worth knowing:

  • WebContentsView is added via win.contentView.addChildView(view) instead of win.addBrowserView(view)
  • Sizing is via view.setBounds({x, y, width, height}), no setAutoResize. You wire your own resize handlers if you want auto-resize.
  • Z-order is the order of addChildView calls; removeChildView then re-addChildView to bring forward.
javascript
const { WebContentsView } = require('electron');

const view = new WebContentsView({
  webPreferences: { contextIsolation: true, sandbox: true }
});
view.webContents.loadURL('https://example.com');
mainWindow.contentView.addChildView(view);
view.setBounds({ x: 0, y: 80, width: 800, height: 520 });

See the official BrowserView → WebContentsView migration guide for edge cases (popups, devtools, focus management).

Cross-platform shell detection:

javascript
const shell = process.platform === 'win32'
  ? 'powershell.exe'
  : process.env.SHELL || '/bin/bash';

const shellArgs = process.platform === 'win32'
  ? ['-NoLogo']
  : [];

Development workflow

bash
# Development (hot reload)
npm run electron:dev

# Production build
npm run electron:build

# Run built app locally
npx electron dist/

# Package for distribution
npm run package

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Electron Dev AI skill do?

Electron desktop apps with React, TypeScript, and Vite. Use for IPC, window/tray, PTY terminals, WebRTC, and packaging.

Why use Electron Dev on TypingMind?

Because you install it once and use it with any model. Electron Dev 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 Electron Dev in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/jamditis/claude-skills-journalism/tree/master/dev-toolkit/skills/electron-dev. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Electron Dev?

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 Electron Dev?

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

Is the Electron Dev AI skill free?

Yes. It is published on GitHub by jamditis under the MIT 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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