
Performance Optimizer
This one gives Claude a structured approach to performance optimization based on the "measure first, optimize second" principle. It comes loaded with specific performance budgets including Core Web Vitals targets (LCP under 2.5s, FID under 100ms, CLS under 0.1) and covers the usual suspects: bundle size limits, database query optimization, caching strategies, and memory management. The skill includes sections on frontend, backend, and database performance, plus profiling tools and monitoring setup. If you're tired of premature optimization or need concrete benchmarks to argue against "just make it faster" requests, this gives you a systematic framework and actual numbers to work with.
- GitHub stars
- 33
- last updated
- Aug 21, 2026
Install
$ npx -y skills add daffy0208/ai-dev-standards --skill 'Performance Optimizer' --agent claude-codeInstalls into .claude/skills of the current project.
Files
Performance Optimizer
Make applications fast, scalable, and cost-efficient.
Core Principle
Measure first, optimize second. Don't guess at bottlenecks—profile, measure, then fix the slowest parts.
Performance Budget
Web Vitals (Target Metrics)
Core Web Vitals:
Largest Contentful Paint (LCP): < 2.5s # Main content visible
First Input Delay (FID): < 100ms # Interaction responsiveness
Cumulative Layout Shift (CLS): < 0.1 # Visual stability
Additional Metrics:
First Contentful Paint (FCP): < 1.8s # First content rendered
Time to Interactive (TTI): < 3.8s # Fully interactive
Total Blocking Time (TBT): < 200ms # Main thread blocked
Speed Index: < 3.4s # Visual progress
Backend Metrics:
API Response Time (P95): < 500ms
Database Query Time (P95): < 100ms
Server Response Time (TTFB): < 600ms
Phase 1: Profiling & Measurement
Goal: Identify actual bottlenecks, not perceived ones
Frontend Profiling
Chrome DevTools:
// 1. Performance tab → Record → Reload page
// 2. Analyze:
// - Main thread activity
// - Network waterfall
// - JavaScript execution time
// - Rendering time
Sponsors
Details
- Repository
- github.com/daffy0208/ai-dev-standards
- Categories
- Frontend Development, Backend & APIs, AI & Agent Building, Debugging, Databases
- First seen
- Jun 3, 2026
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