Code Splitting Helper
This tool automatically suggests and implements code splitting strategies to optimize website loading times and improve user experience.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add code-splitting-helper npx -- -y @trustedskills/code-splitting-helper
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"code-splitting-helper": {
"command": "npx",
"args": [
"-y",
"@trustedskills/code-splitting-helper"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
This skill assists with code splitting, a technique used to optimize web application performance by dividing the codebase into smaller chunks. It can help identify potential split points within JavaScript or TypeScript files and generate suggestions for creating separate bundles. This reduces initial load times and improves overall user experience.
When to use it
- You're optimizing a large JavaScript/TypeScript project for faster loading times.
- You want to analyze an existing codebase to determine optimal code-splitting strategies.
- You are refactoring a monolithic application into smaller, more manageable bundles.
- You need help identifying dependencies that can be split into separate chunks.
Key capabilities
- Analyzes JavaScript/TypeScript files for potential code splitting points.
- Generates suggestions for creating separate bundles based on dependency analysis.
- Supports various code-splitting techniques and frameworks.
Example prompts
- "Analyze this file: [file content] and suggest code-splitting opportunities."
- "What are the key dependencies in this JavaScript module that could be split into a separate bundle?"
- “Suggest ways to improve the initial load time of this application by using code splitting.”
Tips & gotchas
The effectiveness of this skill depends on providing accurate and complete file content for analysis. Complex or obfuscated code may yield less precise results.
Tags
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