Chrome Extension Development logo

Chrome Extension Development

Organization
Mindrally
chrome-extension-development

Expert guidelines for Chrome extension development with Manifest V3, covering security, performance, and best practices. Use when building browser extensions, creating popup UIs, implementing content scripts, working with Chrome APIs, managing extension permissions, or publishing to Chrome Web Store.

Overview

PublisherMindrally
Repositoryskills
Skill namechrome-extension-development
Stars
259
Forks
41
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 Mindrally on GitHub. Read the source before you install it.

Installation

Install the Chrome Extension Development 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/Mindrally/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/chrome-extension-development .claude/skills/chrome-extension-development
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Chrome Extension Development 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 Chrome Extension Development 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 Chrome Extension Development 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.

Chrome Extension Development

This skill provides expert-level guidance for Chrome extension development, covering JavaScript/TypeScript, browser extension APIs, and modern web development practices.

Workflow: Building a Chrome Extension from Scratch

  1. Initialize the project — Create the directory structure with manifest.json, background service worker, content scripts, and popup files.
  2. Configure the manifest — Define permissions, content script matches, service worker registration, and action settings in Manifest V3 format.
  3. Implement the background service worker — Set up event listeners for extension lifecycle, messaging, and alarms using the chrome.* API.
  4. Build content scripts — Write scripts that interact with web page DOM, communicate with the background worker via chrome.runtime.sendMessage, and respect CSP.
  5. Create the popup UI — Design the popup HTML/CSS and wire up interactivity with the background and content scripts.
  6. Add storage and state management — Use chrome.storage.local or chrome.storage.sync to persist user settings and extension state.
  7. Test and debug — Load the extension unpacked via chrome://extensions, use Chrome DevTools to inspect the service worker and content scripts, and run unit tests.
  8. Package and publish — Prepare store assets (icons, screenshots, description), create a privacy policy, and submit to the Chrome Web Store.

Example: Minimal Manifest V3 Configuration

json
{
  "manifest_version": 3,
  "name": "My Extension",
  "version": "1.0.0",
  "description": "A sample Chrome extension using Manifest V3",
  "permissions": ["storage", "activeTab"],
  "action": {
    "default_popup": "popup/popup.html",
    "default_icon": {
      "16": "icons/icon16.png",
      "48": "icons/icon48.png",
      "128": "icons/icon128.png"
    }
  },
  "background": {
    "service_worker": "background/service-worker.js",
    "type": "module"
  },
  "content_scripts": [
    {
      "matches": ["https://*.example.com/*"],
      "js": ["content/content-script.js"],
      "css": ["content/styles.css"]
    }
  ]
}

Example: Background Service Worker with Messaging

typescript
// background/service-worker.ts

// Listen for extension install or update
chrome.runtime.onInstalled.addListener((details) => {
  if (details.reason === 'install') {
    chrome.storage.local.set({ initialized: true, count: 0 });
    console.log('Extension installed');
  }
});

// Handle messages from content scripts or popup
chrome.runtime.onMessage.addListener(
  (message: { type: string; payload?: unknown }, sender, sendResponse) => {
    if (message.type === 'GET_COUNT') {
      chrome.storage.local.get('count', (result) => {
        sendResponse({ count: result.count ?? 0 });
      });
      return true; // keep message channel open for async response
    }

    if (message.type === 'INCREMENT') {
      chrome.storage.local.get('count', (result) => {
        const newCount = (result.count ?? 0) + 1;
        chrome.storage.local.set({ count: newCount }, () => {
          sendResponse({ count: newCount });
        });
      });
      return true;
    }
  }
);

// Schedule periodic tasks with chrome.alarms
chrome.alarms.create('sync-data', { periodInMinutes: 30 });
chrome.alarms.onAlarm.addListener((alarm) => {
  if (alarm.name === 'sync-data') {
    console.log('Running scheduled sync');
  }
});

Code Style and Structure

  • Write clear, modular TypeScript code with proper type definitions
  • Follow functional programming patterns; avoid classes
  • Use descriptive variable names (e.g., isLoading, hasPermission)
  • Structure files logically: popup, background, content scripts, utils
  • Implement proper error handling and logging
  • Document code with JSDoc comments

Architecture and Best Practices

  • Strictly follow Manifest V3 specifications
  • Divide responsibilities between background, content scripts and popup
  • Configure permissions following the principle of least privilege
  • Use modern build tools (webpack/vite) for development
  • Implement proper version control and change management

Chrome API Usage

  • Use chrome.* APIs correctly (storage, tabs, runtime, etc.)
  • Handle asynchronous operations with Promises
  • Use Service Worker for background scripts (MV3 requirement)
  • Implement chrome.alarms for scheduled tasks
  • Use chrome.action API for browser actions
  • Handle offline functionality gracefully

Security and Privacy

  • Implement Content Security Policy (CSP)
  • Handle user data securely
  • Prevent XSS and injection attacks
  • Use secure messaging between components
  • Handle cross-origin requests safely
  • Implement secure data encryption
  • Follow web_accessible_resources best practices

Performance and Optimization

  • Minimize resource usage and avoid memory leaks
  • Optimize background script performance
  • Implement proper caching mechanisms
  • Handle asynchronous operations efficiently
  • Monitor and optimize CPU/memory usage

UI and User Experience

  • Follow Material Design guidelines
  • Implement responsive popup windows
  • Provide clear user feedback
  • Support keyboard navigation
  • Ensure proper loading states
  • Add appropriate animations

Internationalization

  • Use chrome.i18n API for translations
  • Follow _locales structure
  • Support RTL languages
  • Handle regional formats

Accessibility

  • Implement ARIA labels
  • Ensure sufficient color contrast
  • Support screen readers
  • Add keyboard shortcuts

Testing and Debugging

  • Use Chrome DevTools effectively
  • Write unit and integration tests
  • Test cross-browser compatibility
  • Monitor performance metrics
  • Handle error scenarios

Publishing and Maintenance

  • Prepare store listings and screenshots
  • Write clear privacy policies
  • Implement update mechanisms
  • Handle user feedback
  • Maintain documentation

Follow Official Documentation

  • Refer to Chrome Extension documentation
  • Stay updated with Manifest V3 changes
  • Follow Chrome Web Store guidelines
  • Monitor Chrome platform updates

Output Expectations

  • Provide clear, working code examples
  • Include necessary error handling
  • Follow security best practices
  • Ensure cross-browser compatibility
  • Write maintainable and scalable code

Frequently asked questions

What does the Chrome Extension Development AI skill do?

Expert guidelines for Chrome extension development with Manifest V3, covering security, performance, and best practices. Use when building browser extensions, creating popup UIs, implementing content scripts, working with Chrome APIs, managing extension permissions, or publishing to Chrome Web Store.

Why use Chrome Extension Development on TypingMind?

Because you install it once and use it with any model. Chrome Extension Development 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 Chrome Extension Development in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Mindrally/skills/tree/main/chrome-extension-development. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Chrome Extension Development?

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 Chrome Extension Development?

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

Is the Chrome Extension Development AI skill free?

Yes. It is published on GitHub by Mindrally 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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