Application Performance Performance Optimization

This orchestrates performance optimization across your entire stack, from profiling and database tuning to frontend bundles and CDN config. It spins up specialized subagents for each layer (performance engineers, database optimizers, frontend devs) and walks through a methodical four-phase process: establish baselines with flame graphs and Core Web Vitals, optimize backend and databases, handle frontend splitting and edge caching, then validate with load tests. Best for when you're tackling system-wide performance issues rather than isolated fixes. The workflow assumes you have access to profiling data and APM tools, so it won't help much if you're flying blind on metrics.

skills.sh installs: 426
GitHub stars: 39.4K
last updated: Jun 3, 2026

View on GitHub

Install

$ npx -y skills add sickn33/antigravity-awesome-skills --skill application-performance-performance-optimization --agent claude-code

Installs into .claude/skills of the current project.

Files

Optimize application performance end-to-end using specialized performance and optimization agents:

[Extended thinking: This workflow orchestrates a comprehensive performance optimization process across the entire application stack. Starting with deep profiling and baseline establishment, the workflow progresses through targeted optimizations in each system layer, validates improvements through load testing, and establishes continuous monitoring for sustained performance. Each phase builds on insights from previous phases, creating a data-driven optimization strategy that addresses real bottlenecks rather than theoretical improvements. The workflow emphasizes modern observability practices, user-centric performance metrics, and cost-effective optimization strategies.]

Use this skill when

Coordinating performance optimization across backend, frontend, and infrastructure
Establishing baselines and profiling to identify bottlenecks
Designing load tests, performance budgets, or capacity plans
Building observability for performance and reliability targets