How does it handle frontend performance?

It includes bundle analysis for Webpack and Next.js to identify large dependencies and suggest optimizations like code splitting.

What is the 'Golden Rule' mentioned in the skill?

The Golden Rule is to 'Measure First'—always establish a performance baseline before attempting any optimizations to ensure changes actually provide a benefit.

Can it help identify slow database queries?

Yes, it uses EXPLAIN ANALYZE, slow query logs, and N+1 detection to pinpoint and optimize database bottlenecks.

Does this skill include load testing capabilities?

Yes, it integrates with k6 and Artillery to run load tests, ramp-up patterns, and verify system stability under stress.

Which programming languages does this skill support?

The Performance Profiler provides specialized recipes and tools for Node.js, Python, and Go applications.

Performance Profiler

Name: Performance Profiler
Author: zhangzhang-111-i

byzhangzhang-111-i

0•

Analytics & Monitoring

Identifies and resolves performance bottlenecks across Node.js, Python, and Go applications using systematic profiling and measurement-driven optimization.

The Performance Profiler skill provides a rigorous framework for diagnosing and fixing application performance issues ranging from CPU spikes and memory leaks to bloated frontend bundles. By integrating tools like k6, py-spy, and pprof, it enables developers to visualize bottlenecks via flamegraphs, analyze database query execution plans, and run comprehensive load tests. The skill enforces a 'measure first' philosophy, providing structured templates to establish baselines and verify improvements, ensuring that every optimization is backed by empirical data rather than intuition.

Key Features

01Multi-language CPU and memory profiling for Node.js, Python, and Go

02Deep database optimization including EXPLAIN ANALYZE and N+1 detection

03Automated load testing integration with k6 and Artillery

040 GitHub stars

05Standardized before/after measurement templates for performance verification

06Frontend bundle analysis for Webpack and Next.js projects

Use Cases

01Reducing frontend load times by identifying and replacing heavy dependencies

02Optimizing P99 latency for high-traffic API endpoints before a major release

03Diagnosing and fixing memory leaks in long-running backend services

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add zhangzhang-111-i/claude-skills111 performance-profiler

For use in Claude.ai and ChatGPT

Key Features

01Multi-language CPU and memory profiling for Node.js, Python, and Go

02Deep database optimization including EXPLAIN ANALYZE and N+1 detection

03Automated load testing integration with k6 and Artillery

040 GitHub stars

05Standardized before/after measurement templates for performance verification

06Frontend bundle analysis for Webpack and Next.js projects

Use Cases

01Reducing frontend load times by identifying and replacing heavy dependencies

02Optimizing P99 latency for high-traffic API endpoints before a major release

03Diagnosing and fixing memory leaks in long-running backend services

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add zhangzhang-111-i/claude-skills111 performance-profiler

For use in Claude.ai and ChatGPT