electron-base▌
jezweb/claude-skills · updated Apr 8, 2026
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Build secure, modern desktop applications with Electron 33, Vite, React, and TypeScript.
Electron Base Skill
Build secure, modern desktop applications with Electron 33, Vite, React, and TypeScript.
Quick Start
1. Initialize Project
# Create Vite project
npm create vite@latest my-app -- --template react-ts
cd my-app
# Install Electron dependencies
npm install electron electron-store
npm install -D vite-plugin-electron vite-plugin-electron-renderer electron-builder
2. Project Structure
my-app/
├── electron/
│ ├── main.ts # Main process entry
│ ├── preload.ts # Preload script (contextBridge)
│ └── ipc-handlers/ # Modular IPC handlers
│ ├── auth.ts
│ └── store.ts
├── src/ # React app (renderer)
├── vite.config.ts # Dual-entry Vite config
├── electron-builder.json # Build config
└── package.json
3. Package.json Updates
{
"main": "dist-electron/main.mjs",
"scripts": {
"dev": "vite",
"build": "vite build",
"preview": "electron .",
"package": "electron-builder"
}
}
Architecture Patterns
Main vs Renderer Process Separation
┌─────────────────────────────────────────────────────────────┐
│ MAIN PROCESS │
│ (Node.js + Electron APIs) │
│ - File system access │
│ - Native modules (better-sqlite3) │
│ - System dialogs │
│ - Protocol handlers │
└─────────────────────┬───────────────────────────────────────┘
│ IPC (invoke/handle)
│ Events (send/on)
┌─────────────────────▼───────────────────────────────────────┐
│ PRELOAD SCRIPT │
│ (contextBridge.exposeInMainWorld) │
│ - Type-safe API exposed to renderer │
│ - No direct ipcRenderer exposure │
└─────────────────────┬───────────────────────────────────────┘
│ window.electron.*
┌─────────────────────▼───────────────────────────────────────┐
│ RENDERER PROCESS │
│ (Browser context - React app) │
│ - No Node.js APIs │
│ - Uses window.electron.* for IPC │
└─────────────────────────────────────────────────────────────┘
Type-Safe IPC Pattern
The preload script exposes a typed API to the renderer:
// electron/preload.ts
export interface ElectronAPI {
auth: {
startOAuth: (provider: 'google' | 'github') => Promise<void>;
getSession: () => Promise<Session | null>;
logout: () => Promise<void>;
onSuccess: (callback: (session: Session) => void) => () => void;
onError: (callback: (error: string) => void) => () => void;
};
app: {
getVersion: () => Promise<string>;
openExternal: (url: string) => Promise<void>;
};
}
// Expose to renderer
contextBridge.exposeInMainWorld('electron', electronAPI);
// Global type declaration
declare global {
interface Window {
electron: ElectronAPI;
}
}
Security Best Practices
REQUIRED: Context Isolation
Always enable context isolation and disable node integration:
// electron/main.ts
const mainWindow = new BrowserWindow({
webPreferences: {
preload: join(__dirname, 'preload.cjs'),
contextIsolation: true, // REQUIRED - isolates preload from renderer
nodeIntegration: false, // REQUIRED - no Node.js in renderer
sandbox: false, // May need to disable for native modules
},
});
NEVER: Hardcode Encryption Keys
// WRONG - hardcoded key is a security vulnerability
const store = new Store({
encryptionKey: 'my-secret-key', // DO NOT DO THIS
});
// CORRECT - derive from machine ID
import { machineIdSync } from 'node-machine-id';
const store = new Store({
encryptionKey: machineIdSync().slice(0, 32), // Machine-unique key
});
Sandbox Trade-offs
Native modules like better-sqlite3 require sandbox: false. Document this trade-off:
webPreferences: {
sandbox: false, // Required for better-sqlite3 - document security trade-off
}
Modules requiring sandbox: false:
- better-sqlite3
- node-pty
- native-keymap
Modules working with sandbox: true:
- electron-store (pure JS)
- keytar (uses Electron's safeStorage)
OAuth with Custom Protocol Handlers
1. Register Protocol (main.ts)
// In development, need to pass executable path
if (process.defaultApp) {
if (process.argv.length >= 2) {
app.setAsDefaultProtocolClient('myapp', process.execPath, [process.argv[1]]);
}
} else {
app.setAsDefaultProtocolClient('myapp');
}
2. Handle Protocol URL
// Single instance lock (required for reliable protocol handling)
const gotTheLock = app.requestSingleInstanceLock();
if (!gotTheLock) {
app.quit();
} else {
app.on('second-instance', (_event, commandLine) => {
const url = commandLine.find((arg) => arg.startsWith('myapp://'));
if (url) handleProtocolUrl(url);
if (mainWindow?.isMinimized()) mainWindow.restore();
mainWindow?.focus();
});
}
// macOS handles protocol differently
app.on('open-url', (_event, url) => {
how to use electron-baseHow to use electron-base on Cursor
AI-first code editor with Composer
1Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add electron-base
2Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
$npx skills add https://github.com/jezweb/claude-skills --skill electron-baseThe skills CLI fetches electron-base from GitHub repository jezweb/claude-skills and configures it for Cursor.
3Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
◆ Which agents do you want to install to?││ ── Universal (.agents/skills) ── always included ────│ • Amp│ • Antigravity│ • Cline│ • Codex│ ●Cursor(selected)│ • Cursor│ • Windsurf4Verify installation
Confirm successful installation by checking the skill directory location:
.cursor/skills/electron-baseReload or restart Cursor to activate electron-base. Access the skill through slash commands (e.g., /electron-base) or your agent's skill management interface.
⚠Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
Additional Resources
List & Monetize Your Skill
Submit your Claude Code skill and start earning
GET_STARTED →Use Cases▌
User Story & Requirements Generation
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
✓Reduce spec writing time by 50%, ensure comprehensive coverage
Competitive Analysis
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
✓Complete competitive research in 2 hours instead of 2 days
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
✓Make data-driven prioritization decisions faster
Stakeholder Communication
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
✓Save 3-5 hours/week on communication overhead
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Installation Steps
- 1.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 7.Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices▌
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This▌
✓ Use When
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid When
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
Learning Path▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
general reviewsRatings
4.6★★★★★25 reviews- ★★★★★Chaitanya Patil· Dec 16, 2024
I recommend electron-base for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Harper Reddy· Dec 8, 2024
Useful defaults in electron-base — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Ama Perez· Nov 27, 2024
I recommend electron-base for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Ama Diallo· Nov 11, 2024
Solid pick for teams standardizing on skills: electron-base is focused, and the summary matches what you get after install.
- ★★★★★Piyush G· Nov 7, 2024
Useful defaults in electron-base — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Shikha Mishra· Oct 26, 2024
electron-base has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Ama Mensah· Oct 18, 2024
electron-base reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Li Zhang· Jul 15, 2024
Registry listing for electron-base matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Mei Huang· Jun 6, 2024
Keeps context tight: electron-base is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Michael Gill· May 21, 2024
Useful defaults in electron-base — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
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