Does it handle memory leak detection?

Yes, it provides implementation patterns for heap snapshots in Node.js, memory_profiler in Python, and goroutine leak detection in Go.

Which programming languages does this skill support?

This skill provides specialized profiling guidance for Node.js, Python, and Go, covering both backend logic and runtime-specific memory management.

What tools are used for load testing?

The skill integrates best practices for k6 and Artillery to simulate various traffic patterns, ranging from steady ramp-ups to sudden spikes.

How does it help with database performance?

It assists in identifying slow queries using EXPLAIN ANALYZE, detecting N+1 patterns, and implementing efficient indexing and batching strategies.

Can it help reduce frontend load times?

Yes, it includes tools for analyzing Webpack and Next.js bundle sizes, identifying heavy dependencies, and suggesting optimizations like dynamic imports.

Performance Profiler

Name: Performance Profiler
Author: oabdelmaksoud

byoabdelmaksoud

0•

分析与监控

Analyzes and optimizes application performance across Node.js, Python, and Go through systematic profiling, database optimization, and load testing.

The Performance Profiler skill provides a comprehensive framework for identifying and resolving bottlenecks in high-scale applications. It empowers Claude to perform deep CPU and memory profiling, generate flamegraphs, analyze frontend bundle sizes, and optimize database performance using advanced techniques like EXPLAIN ANALYZE. By integrating load testing tools like k6 and Artillery, the skill ensures that every optimization is backed by empirical data, following a strict 'measure first' methodology to verify performance gains and prevent regression.

主要功能

010 GitHub stars

02Frontend bundle size analysis for Webpack and Next.js

03Cross-language CPU and memory profiling for Node.js, Python, and Go

04Visual bottleneck identification via flamegraphs and heap snapshots

05Comprehensive database query optimization and N+1 detection

06Automated load testing scenarios using k6 and Artillery

使用场景

01Optimizing database-heavy endpoints that exceed latency SLAs

02Reducing web application load times by pruning and optimizing JavaScript bundles

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

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add oabdelmaksoud/superclaw performance-profiler

For use in Claude.ai and ChatGPT

主要功能

010 GitHub stars

02Frontend bundle size analysis for Webpack and Next.js

03Cross-language CPU and memory profiling for Node.js, Python, and Go

04Visual bottleneck identification via flamegraphs and heap snapshots

05Comprehensive database query optimization and N+1 detection

06Automated load testing scenarios using k6 and Artillery

使用场景

01Optimizing database-heavy endpoints that exceed latency SLAs

02Reducing web application load times by pruning and optimizing JavaScript bundles

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

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add oabdelmaksoud/superclaw performance-profiler

For use in Claude.ai and ChatGPT