electron-pro

404kidwiz/claude-supercode-skills · updated Apr 8, 2026

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$npx skills add https://github.com/404kidwiz/claude-supercode-skills --skill electron-pro
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summary

Provides cross-platform desktop application development expertise specializing in Electron, IPC architecture, and OS-level integration. Builds secure, performant desktop applications using web technologies with native capabilities for Windows, macOS, and Linux.

skill.md

Electron Desktop Developer

Purpose

Provides cross-platform desktop application development expertise specializing in Electron, IPC architecture, and OS-level integration. Builds secure, performant desktop applications using web technologies with native capabilities for Windows, macOS, and Linux.

When to Use

  • Building cross-platform desktop apps (VS Code, Discord style)
  • Migrating web apps to desktop with native capabilities (File system, Notifications)
  • Implementing secure IPC (Main ↔ Renderer communication)
  • Optimizing Electron memory usage and startup time
  • Configuring auto-updaters (electron-updater)
  • Signing and notarizing apps for app stores


2. Decision Framework

Architecture Selection

How to structure the app?
├─ **Security First (Recommended)**
│  ├─ Context Isolation? → **Yes** (Standard since v12)
│  ├─ Node Integration? → **No** (Never in Renderer)
│  └─ Preload Scripts? → **Yes** (Bridge API)
├─ **Data Persistence**
│  ├─ Simple Settings? → **electron-store** (JSON)
│  ├─ Large Datasets? → **SQLite** (`better-sqlite3` in Main process)
│  └─ User Files? → **Native File System API**
└─ **UI Framework**
   ├─ React/Vue/Svelte? → **Yes** (Standard SPA approach)
   ├─ Multiple Windows? → **Window Manager Pattern**
   └─ System Tray App? → **Hidden Window Pattern**

IPC Communication Patterns

Pattern Method Use Case
One-Way (Renderer → Main) ipcRenderer.send logging, analytics, minimizing window
Two-Way (Request/Response) ipcRenderer.invoke DB queries, file reads, heavy computations
Main → Renderer webContents.send Menu actions, system events, push notifications

Red Flags → Escalate to security-auditor:

  • Enabling nodeIntegration: true in production
  • Disabling contextIsolation
  • Loading remote content (https://) without strict CSP
  • Using remote module (Deprecated & insecure)


Workflow 2: Performance Optimization (Startup)

Goal: Reduce launch time to < 2s.

Steps:

  1. V8 Snapshot

    • Use electron-link or v8-compile-cache to pre-compile JS.
  2. Lazy Loading Modules

    • Don't require() everything at top of main.ts.
    // Bad
    import { heavyLib } from 'heavy-lib';
    
    // Good
    ipcMain.handle('do-work', () => {
      const heavyLib = require('heavy-lib');
      heavyLib.process();
    });
    
  3. Bundle Main Process

    • Use esbuild or webpack for Main process (not just Renderer) to tree-shake unused code and minify.


4. Patterns & Templates

Pattern 1: Worker Threads (CPU Intensive Tasks)

Use case: Image processing or parsing large files without freezing the UI.

// main.ts
import { Worker } from 'worker_threads';

ipcMain.handle('process-image', (event, data) => {
  return new Promise((resolve, reject) => {
    const worker = new Worker('./worker.js', { workerData: data });
    worker.on('message', resolve);
    worker.on('error', reject);
  });
});

Pattern 2: Deep Linking (Protocol Handler)

Use case: Opening app from browser (myapp://open?id=123).

// main.ts
if (process.defaultApp) {
  if (process.argv.length >= 2) {
    app.setAsDefaultProtocolClient('myapp', process.execPath, [path.resolve(process.argv[1])]);
  }
} else {
  app.setAsDefaultProtocolClient('myapp');
}

app.on('open-url', (event, url) => {
  event.preventDefault();
  // Parse url 'myapp://...' and navigate renderer
  mainWindow.webContents.send('navigate', url);
});


6. Integration Patterns

frontend-ui-ux-engineer:

  • Handoff: UI Dev builds the React/Vue app → Electron Dev wraps it.
  • Collaboration: Handling window controls (custom title bar), vibrancy/acrylic effects.
  • Tools: CSS app-region: drag.

devops-engineer:

  • Handoff: Electron Dev provides build config → DevOps sets up CI pipeline.
  • Collaboration: Code signing certificates (Apple Developer ID, Windows EV).
  • Tools: Electron Builder, Notarization scripts.

security-engineer:

  • Handoff: Electron Dev implements feature → Security Dev audits IPC surface.
  • Collaboration: Defining Content Security Policy (CSP) headers.
  • Tools: Electronegativity (Scanner).

how to use electron-pro

How to use electron-pro on Cursor

AI-first code editor with Composer

1

Prerequisites

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-pro
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/404kidwiz/claude-supercode-skills --skill electron-pro

The skills CLI fetches electron-pro from GitHub repository 404kidwiz/claude-supercode-skills and configures it for Cursor.

3

Select 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
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/electron-pro

Reload or restart Cursor to activate electron-pro. Access the skill through slash commands (e.g., /electron-pro) 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.

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. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 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

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.530 reviews
  • Mateo Chawla· Dec 24, 2024

    Useful defaults in electron-pro — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Carlos Yang· Dec 24, 2024

    Keeps context tight: electron-pro is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Chaitanya Patil· Dec 12, 2024

    electron-pro is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Anaya Okafor· Dec 8, 2024

    We added electron-pro from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Harper Sharma· Nov 15, 2024

    electron-pro is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Piyush G· Nov 3, 2024

    Useful defaults in electron-pro — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Shikha Mishra· Oct 22, 2024

    Registry listing for electron-pro matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Daniel Abebe· Oct 2, 2024

    electron-pro reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Carlos Haddad· Sep 1, 2024

    electron-pro fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Noah Thomas· Aug 20, 2024

    electron-pro has been reliable in day-to-day use. Documentation quality is above average for community skills.

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