Code Splitting

CommunityPopular

thedaviddias

code-splitting

Use when reviewing large SPA bundles, new dependency additions, or routes that feel slow to hydrate. Focus on code that is not required for the initial view and can move behind route transitions, user interaction, or viewport-based loading.

Overview

Publisher	thedaviddias
Repository	`Front-End-Checklist`
Skill name	`code-splitting`
Stars	74.4K
Forks	6.8K
Bundled files	1
License	MIT
Links	Skill source Repository Homepage

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.
1 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by thedaviddias on GitHub. Read the source before you install it.

Installation

Install the Code Splitting AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/thedaviddias/Front-End-Checklist/tree/main/skills/code-splitting
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.

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/thedaviddias/Front-End-Checklist.git /tmp/Front-End-Checklist
mkdir -p .claude/skills
cp -r /tmp/Front-End-Checklist/skills/code-splitting .claude/skills/code-splitting

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Code Splitting 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 Code Splitting 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 Code Splitting 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.

Split large JavaScript bundles

A 500 KB JavaScript bundle blocks page interactivity for 3–5 seconds on a mid-range mobile device even after the bytes arrive — JS must be parsed and compiled before execution. Code splitting means users only download and parse the code they actually need for the current page, dramatically improving Time to Interactive.

Quick Reference

Use dynamic import() to load code only when it's actually needed
Split routes in SPAs so each page loads only its own code
Lazy-load heavy third-party libraries (chart libraries, rich text editors)
Analyze your bundle with a visualizer to find what to split

Check

Identify any large third-party imports or feature modules in this file that could be loaded lazily with dynamic import() instead of statically.

Fix

Convert the identified static imports to dynamic imports using import() and add appropriate loading states.

Explain

Explain JavaScript code splitting, how dynamic import() works, and how to implement route-based splitting in a SPA.

Code Review

Inspect route modules, heavy feature imports, and third-party libraries loaded on initial render. Flag dependencies that can move behind import(), route boundaries, or user-triggered flows without breaking the first meaningful paint.

For full implementation details, code examples, and framework-specific guidance, see references/rule.md.

Rule page: https://frontendchecklist.io/rules/javascript/code-splitting

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

references/rule.md4 KB

Frequently asked questions

What does the Code Splitting AI skill do?

Why use Code Splitting on TypingMind?

Because you install it once and use it with any model. Code Splitting 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 Code Splitting in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/thedaviddias/Front-End-Checklist/tree/main/skills/code-splitting. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Code Splitting?

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 Code Splitting?

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

Is the Code Splitting AI skill free?

Yes. It is published on GitHub by thedaviddias under the MIT 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Split large JavaScript bundles

Quick Reference

Check

Fix

Explain

Code Review

Bundled files

Frequently asked questions

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