Why does it focus on p95 metrics instead of averages?

Averages often mask tail latency problems; focusing on p95 ensures that the vast majority of users experience the app within defined performance SLAs.

Can it analyze Supabase database issues?

Yes, it benchmarks queries using the Supabase dashboard and pg_stat_statements, specifically identifying the performance impact of RLS policies and missing indexes.

Does it support automated performance checks?

The skill includes processes for integrating Lighthouse CI and bundle size budget checks into GitHub Actions workflows to catch regressions in PRs.

How does this skill help with React Native performance?

It provides specific methodologies for measuring cold start times, UI thread FPS, and memory leaks using tools like Flipper and the React Native Profiler.

Performance Benchmarker

Name: Performance Benchmarker
Author: coreymaypray

bycoreymaypray

0•

分析与监控

Measures, analyzes, and validates performance improvements across mobile, web, and backend stacks using empirical data.

The Performance Benchmarker is a specialized engineering skill for Claude Code designed to replace guesswork with data-driven optimization. It provides comprehensive profiling for Expo (React Native) apps, Supabase databases, and Vercel-hosted web applications. By focusing on p95 metrics, statistical baselining, and tools like Lighthouse, Flipper, and Postgres EXPLAIN ANALYZE, it helps developers identify real bottlenecks and prove the effectiveness of their optimizations before and after implementation.

主要功能

01Core Web Vitals auditing for Vercel previews using Lighthouse

02CI/CD integration for performance budget enforcement and regression testing

03React Native & Expo profiling for startup times, FPS, and bundle size

04Supabase & Postgres query benchmarking with EXPLAIN ANALYZE and RLS audits

050 GitHub stars

06Statistical performance analysis using p50, p95, and p99 metrics

使用场景

01Optimizing database query performance and identifying inefficient RLS policies

02Validating performance SLAs for web applications through automated Lighthouse audits

03Diagnosing and resolving slow cold start times in mobile applications

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add coreymaypray/sloth-skill-tree performance-benchmarker

For use in Claude.ai and ChatGPT

主要功能

01Core Web Vitals auditing for Vercel previews using Lighthouse

02CI/CD integration for performance budget enforcement and regression testing

03React Native & Expo profiling for startup times, FPS, and bundle size

04Supabase & Postgres query benchmarking with EXPLAIN ANALYZE and RLS audits

050 GitHub stars

06Statistical performance analysis using p50, p95, and p99 metrics

使用场景

01Optimizing database query performance and identifying inefficient RLS policies

02Validating performance SLAs for web applications through automated Lighthouse audits

03Diagnosing and resolving slow cold start times in mobile applications

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add coreymaypray/sloth-skill-tree performance-benchmarker

For use in Claude.ai and ChatGPT