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performance

Optimize web application performance by eliminating frontend, backend, and database bottlenecks.

14|4|Updated Jan 14, 2026
Search Tags:#performance#caching#frontend#optimization#backend#go#profiling
One-click install
npx skills add https://github.com/aiyuekuang/LLMProxy --skill performance-aiyuekuang
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: performance
Source: https://github.com/aiyuekuang/LLMProxy/tree/main/.windsurf/skills/performance
Command: npx skills add https://github.com/aiyuekuang/LLMProxy --skill performance-aiyuekuang

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Performance optimization for web applications across frontend, backend, and data layers to reduce latency, improve responsiveness, and lower resource usage.

Core Features & Use Cases

  • Frontend performance optimization: strategies for improving page load times, rendering efficiency, and bundle size.
  • Backend performance optimization: Go optimization patterns, memory management, concurrency improvements, and efficient request handling.
  • Caching and data access optimization: caching strategies, profiling, benchmarking guidance, and data access tuning.
  • Use Case: Scale to high-traffic SPA with faster TTFB, lower LCP, and reduced memory footprint across services.

Quick Start

Run a quick performance assessment on your web app and apply the recommended optimization patterns to see immediate improvements.

Frequently Asked Questions about performance

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

FAQPage Schema
How do I optimize web application performance across frontend and backend layers?▼

Optimize web application performance by identifying and eliminating bottlenecks in frontend rendering, backend server processing, and data access layers. This reduces latency, improves page load times, and lowers overall resource usage.

What is the best way to reduce API latency and improve server request handling in Go?▼

Reduce API latency in Go by applying backend optimization patterns, improving memory management, and enhancing concurrency for efficient request handling. This targets server processing bottlenecks to achieve faster response times.

How do I improve page load times and rendering efficiency for a high-traffic SPA?▼

Improve page load times for high-traffic SPAs by applying frontend performance strategies that optimize rendering efficiency and reduce bundle size. This lowers LCP and improves overall responsiveness.

When do I need caching and profiling to lower data access latency?▼

You need caching and profiling when database bottlenecks cause high latency in data access. Applying these tuning strategies reduces server load and improves data retrieval efficiency across services.

Does this performance optimization approach work for cross-cutting benchmarking and scalable refactoring?▼

Yes, this approach satisfies requirements for cross-cutting performance patterns, benchmarking, and profiling. It provides safe, scalable refactoring guidelines to systematically improve TTFB and reduce memory footprint.

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