performance

Measure and resolve web application bottlenecks in bundle size, rendering, state, and memory.

Updated Feb 7, 2026
One-click install
npx skills add https://github.com/froggugugugu/project-blueprints --skill performance-froggugugugu
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: performance
Source: https://github.com/froggugugugu/project-blueprints/tree/main/project-blueprint-en/.claude/skills/performance
Command: npx skills add https://github.com/froggugugugu/project-blueprints --skill performance-froggugugugu

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) and scripts (resource) components.

What problem does it solve?

This Skill addresses slow application performance by systematically measuring, identifying, and resolving bottlenecks in bundle size, rendering, state management, and memory usage.

Core Features & Use Cases

  • Measurement-First Optimization: Ensures all optimizations are data-driven, preventing guesswork.
  • Bundle Analysis: Identifies and reduces code-splitting opportunities and tree-shaking inefficiencies.
  • Rendering Optimization: Detects and fixes unnecessary re-renders and identifies profiling bottlenecks.
  • State & Memory Management: Optimizes data fetching and storage to improve responsiveness and reduce resource consumption.
  • Use Case: A user reports that a specific dashboard takes too long to load. This Skill can analyze the initial load, pinpoint the slow components or large bundle sizes, and apply optimizations like code splitting or memoization to improve load times.

Quick Start

Use the performance skill to optimize the initial load of the dashboard.

Frequently Asked Questions about performance

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I reduce bundle size and fix slow initial load times in my web application?

Reduce bundle size by analyzing code-splitting opportunities and tree-shaking inefficiencies. This Skill identifies large bundles and applies optimizations like code splitting to systematically improve initial load times for slow web applications.

What is the best way to identify and resolve unnecessary component re-renders?

The best way to resolve unnecessary re-renders is a measurement-first approach using profiling. This Skill detects rendering bottlenecks and applies memoization to ensure perceivable performance improvements without guesswork.

How does memoization improve application performance and when should I apply it?

Memoization improves application performance by preventing unnecessary recalculations and re-renders. You should apply it after profiling identifies rendering bottlenecks, ensuring optimizations are data-driven and target slow components directly.

Can I use this approach to optimize state management and memory usage for high responsiveness?

Yes, you can optimize state management and memory usage to achieve high responsiveness. This Skill measures and resolves data fetching and storage bottlenecks, reducing resource consumption in web applications and libraries.

Why should I use a measurement-first approach instead of guessing performance bottlenecks?

A measurement-first approach prevents guesswork by ensuring all optimizations are data-driven. This Skill systematically measures bundle size, rendering, and memory bottlenecks to apply targeted fixes like code splitting and memoization.

Does this optimization approach work for both web applications and libraries?

Yes, this optimization approach works for both web applications and libraries requiring high responsiveness and efficient resource utilization. It measures and resolves bottlenecks in bundle size, rendering, and state management across these environments.