Esbuild Bundler logo

Esbuild Bundler

Organization
Mindrally
esbuild-bundler

Best practices and guidelines for esbuild, the ultra-fast JavaScript and TypeScript bundler and minifier

Overview

PublisherMindrally
Repositoryskills
Skill nameesbuild-bundler
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 Esbuild Bundler 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/esbuild-bundler .claude/skills/esbuild-bundler
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Esbuild Bundler 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 Esbuild Bundler 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 Esbuild Bundler 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.

esbuild Bundler

You are an expert in esbuild, the extremely fast JavaScript and TypeScript bundler written in Go. Follow these guidelines when working with esbuild configurations.

Core Principles

  • esbuild is 10-100x faster than traditional bundlers
  • Zero configuration needed for most use cases
  • Native TypeScript and JSX support without additional setup
  • Focus on speed while maintaining code quality
  • Written in Go for native performance

Project Structure

project/
├── src/
│   ├── index.ts          # Main entry point
│   ├── components/       # UI components
│   └── utils/            # Utility functions
├── dist/                 # Build output
├── esbuild.config.mjs    # Build script (optional)
├── tsconfig.json         # TypeScript config
└── package.json

Basic Usage

Command Line

bash
# Basic bundle
esbuild src/index.ts --bundle --outfile=dist/bundle.js

# Production build
esbuild src/index.ts --bundle --minify --sourcemap --outfile=dist/bundle.js

# Watch mode
esbuild src/index.ts --bundle --watch --outfile=dist/bundle.js

JavaScript API

javascript
import * as esbuild from 'esbuild';

await esbuild.build({
  entryPoints: ['src/index.ts'],
  bundle: true,
  minify: true,
  sourcemap: true,
  outfile: 'dist/bundle.js'
});

TypeScript Configuration

tsconfig.json Best Practices

json
{
  "compilerOptions": {
    "target": "ES2022",
    "module": "ESNext",
    "moduleResolution": "Bundler",
    "esModuleInterop": true,
    "isolatedModules": true,
    "strict": true,
    "skipLibCheck": true,
    "noEmit": true,
    "verbatimModuleSyntax": true,
    "noUncheckedIndexedAccess": true
  },
  "include": ["src/**/*"]
}

Important TypeScript Settings

  • isolatedModules: true - Required for esbuild compatibility
  • esModuleInterop: true - Better ESM compatibility
  • noEmit: true - Let esbuild handle output, use tsc for type checking only

Build Configuration

Browser Build

javascript
await esbuild.build({
  entryPoints: ['src/index.ts'],
  bundle: true,
  minify: true,
  sourcemap: true,
  target: ['chrome90', 'firefox88', 'safari14', 'edge90'],
  outfile: 'dist/bundle.js'
});

Node.js Build

javascript
await esbuild.build({
  entryPoints: ['src/index.ts'],
  bundle: true,
  platform: 'node',
  target: 'node18',
  format: 'esm',
  outfile: 'dist/index.js'
});

Multiple Entry Points

javascript
await esbuild.build({
  entryPoints: ['src/index.ts', 'src/worker.ts'],
  bundle: true,
  outdir: 'dist',
  splitting: true,
  format: 'esm'
});

Output Formats

ESM (ES Modules)

javascript
await esbuild.build({
  format: 'esm',
  // Outputs: import/export syntax
});

CommonJS

javascript
await esbuild.build({
  format: 'cjs',
  // Outputs: require/module.exports
});

IIFE (Browser Scripts)

javascript
await esbuild.build({
  format: 'iife',
  globalName: 'MyApp',
  // Outputs: self-executing function
});

Loaders

Built-in Loaders

javascript
await esbuild.build({
  loader: {
    '.png': 'file',
    '.svg': 'text',
    '.json': 'json',
    '.woff': 'dataurl'
  }
});

Loader Types

  • js - JavaScript
  • ts - TypeScript
  • jsx - JavaScript with JSX
  • tsx - TypeScript with JSX
  • json - JSON data
  • text - Plain text
  • file - Copy file, return path
  • dataurl - Inline as data URL
  • binary - Inline as Uint8Array
  • base64 - Inline as base64
  • copy - Copy file, no reference

External Dependencies

Mark as External

javascript
await esbuild.build({
  external: ['react', 'react-dom', 'lodash']
});

External Patterns

javascript
await esbuild.build({
  external: ['*.png', '@aws-sdk/*']
});

Code Splitting

javascript
await esbuild.build({
  entryPoints: ['src/index.ts'],
  bundle: true,
  splitting: true,
  format: 'esm',
  outdir: 'dist'
});

Note: Code splitting requires format: 'esm' and outdir (not outfile).

Plugins

Plugin Structure

javascript
const myPlugin = {
  name: 'my-plugin',
  setup(build) {
    // On resolve - intercept import paths
    build.onResolve({ filter: /^env$/ }, args => ({
      path: args.path,
      namespace: 'env-ns'
    }));

    // On load - provide module contents
    build.onLoad({ filter: /.*/, namespace: 'env-ns' }, () => ({
      contents: JSON.stringify(process.env),
      loader: 'json'
    }));
  }
};

await esbuild.build({
  plugins: [myPlugin]
});

Common Plugins

javascript
import esbuildPluginTsc from 'esbuild-plugin-tsc';

await esbuild.build({
  plugins: [
    esbuildPluginTsc({
      force: true
    })
  ]
});

Development Server

Serve API

javascript
const ctx = await esbuild.context({
  entryPoints: ['src/index.ts'],
  bundle: true,
  outdir: 'dist'
});

await ctx.serve({
  servedir: 'dist',
  port: 3000
});

Watch Mode

javascript
const ctx = await esbuild.context({
  entryPoints: ['src/index.ts'],
  bundle: true,
  outfile: 'dist/bundle.js'
});

await ctx.watch();
console.log('Watching for changes...');

Environment Variables

Define API

javascript
await esbuild.build({
  define: {
    'process.env.NODE_ENV': '"production"',
    'process.env.API_URL': JSON.stringify(process.env.API_URL)
  }
});

Optimization

Minification

javascript
await esbuild.build({
  minify: true,
  // Or granular control:
  minifyWhitespace: true,
  minifyIdentifiers: true,
  minifySyntax: true
});

Tree Shaking

javascript
await esbuild.build({
  treeShaking: true,
  // Mark files as side-effect free
  ignoreAnnotations: false
});

Drop Console and Debugger

javascript
await esbuild.build({
  drop: ['console', 'debugger']
});

Type Checking

esbuild does not perform type checking. Run TypeScript separately:

json
{
  "scripts": {
    "typecheck": "tsc --noEmit",
    "build": "npm run typecheck && node esbuild.config.mjs",
    "dev": "concurrently \"tsc --noEmit --watch\" \"node esbuild.config.mjs --watch\""
  }
}

Build Script Example

javascript
// esbuild.config.mjs
import * as esbuild from 'esbuild';

const isProduction = process.env.NODE_ENV === 'production';
const isWatch = process.argv.includes('--watch');

const config = {
  entryPoints: ['src/index.ts'],
  bundle: true,
  platform: 'browser',
  target: ['es2020'],
  format: 'esm',
  outdir: 'dist',
  sourcemap: !isProduction,
  minify: isProduction,
  splitting: true,
  define: {
    'process.env.NODE_ENV': JSON.stringify(process.env.NODE_ENV || 'development')
  }
};

if (isWatch) {
  const ctx = await esbuild.context(config);
  await ctx.watch();
  console.log('Watching for changes...');
} else {
  await esbuild.build(config);
  console.log('Build complete!');
}

Best Practices

Do

  • Use isolatedModules: true in TypeScript config
  • Run type checking separately with tsc --noEmit
  • Use the context API for watch mode
  • Leverage native TypeScript and JSX support
  • Use external for peer dependencies in libraries

Avoid

  • Relying on esbuild for type checking
  • Using features that require type information (decorators with metadata)
  • Ignoring the isolatedModules requirement
  • Over-configuring when defaults work

Common Patterns

Library Build

javascript
await esbuild.build({
  entryPoints: ['src/index.ts'],
  bundle: true,
  external: ['react', 'react-dom'],
  format: 'esm',
  outfile: 'dist/index.js',
  sourcemap: true
});

Application Build

javascript
await esbuild.build({
  entryPoints: ['src/index.tsx'],
  bundle: true,
  splitting: true,
  format: 'esm',
  outdir: 'dist',
  minify: true,
  sourcemap: true,
  target: ['chrome90', 'firefox88', 'safari14']
});

Performance Tips

  • esbuild parallelizes work automatically
  • File system caching is built-in
  • Use incremental builds in development
  • Avoid unnecessary plugins that slow builds

Frequently asked questions

What does the Esbuild Bundler AI skill do?

Best practices and guidelines for esbuild, the ultra-fast JavaScript and TypeScript bundler and minifier

Why use Esbuild Bundler on TypingMind?

Because you install it once and use it with any model. Esbuild Bundler 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 Esbuild Bundler in TypingMind?

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

Which AI models can use Esbuild Bundler?

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 Esbuild Bundler?

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

Is the Esbuild Bundler 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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