electron

Guidance for building desktop applications with Electron, a framework that packages web technologies as apps for Windows, macOS, and Linux.

In plain words
What is it for?
It helps create windows, menus, tray icons, and native features; connect app processes; package apps; debug them; and apply security practices.
Why use it?
It explains how the separate parts of an Electron app communicate and how to handle desktop-specific behavior safely.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/recomposesh/recompose/electron
Any agent
npx skills add recomposesh/recompose --skill electron
Clone the repo
git clone --depth 1 https://github.com/recomposesh/recompose

Made for: Claude Code, Codex.

Per session 51 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,074 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00051 $0.02074
Opus 5 $0.00026 $0.01037
Sonnet 5 $0.00010 $0.00415
Haiku 4.5 $0.00005 $0.00207

Measured 2d ago against content hash 3d7a6da310ba, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

electron scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.agents/skills/electron/SKILL.md · 193 lines

How it starts

The opening of the file, as written. The whole thing — 193 lines — stays where its author put it; the contents beside it link to each section on GitHub.

When to use this skill

Use this skill whenever the user wants to:

  • Build cross-platform desktop applications with Electron
  • Understand Electron architecture (main process, renderer process, preload)
  • Implement IPC (Inter-Process Communication) between processes
  • Create and manage BrowserWindow instances
  • Implement menus, tray icons, and native features
  • Package and distribute Electron applications
  • Use Electron Forge for project scaffolding and building
  • Debug and test Electron applications
  • Implement security best practices
  • Use Electron APIs (app, BrowserWindow, ipcMain, ipcRenderer, etc.)

How to use this skill

This skill is organized to match the Electron official documentation structure (https://www.electronjs.org/zh/docs/latest/, https://www.electronjs.org/zh/docs/latest/api/app). When working with Electron:

  1. Identify the topic from the user's request:

    • Getting started/快速开始 → examples/getting-started/installation.md or examples/getting-started/quick-start.md
    • Main process/主进程 → examples/processes/main-process.md
    • Renderer process/渲染进程 → examples/processes/renderer-process.md
    • IPC communication/IPC 通信 → examples/processes/ipc-communication.md
    • BrowserWindow/窗口 → examples/api/browser-window.md
    • Menu/菜单 → examples/api/menu.md
    • Packaging/打包 → examples/advanced/packaging.md
    • Security/安全 → examples/advanced/security.md
  2. Load the appropriate example file from the examples/ directory:

    Getting Started (快速开始) - examples/getting-started/:

    • examples/getting-started/installation.md - Installing Electron and basic setup
    • examples/getting-started/quick-start.md - Quick start tutorial

    Processes (进程) - examples/processes/:

    • examples/processes/main-process.md - Main process concepts and usage
    • examples/processes/renderer-process.md - Renderer process concepts
    • examples/processes/preload-scripts.md - Preload scripts usage
    • examples/processes/ipc-communication.md - IPC communication patterns

Read the full file on GitHub · 193 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 193 lines · 51 tokens per session scan A 3d7a6da310ba

Subscribe to this mod's changes

electron is a skill published in the GitHub repository recomposesh/recompose (25 stars, last pushed 6d ago), licensed MIT. It adds 51 tokens to every session and 2,074 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

brainstorming

You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.

obra/superpowers · 37 tokens

auto-perf-optimize

Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.

microsoft/vscode · 62 tokens

chat-perf

Run chat perf benchmarks and memory leak checks against the local dev build or any published VS Code version. Use when investigating chat rendering regressions, validating perf-sensitive changes to chat UI, or checking for memory leaks in the chat response pipeline.

microsoft/vscode · 51 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens