performance-profiler

Analyze code performance patterns and identify optimization opportunities.

27|4|Updated Oct 20, 2025

Search Tags:#code quality #performance #optimization #efficiency #profiling #bottlenecks

Ready to run

npx skills add https://github.com/CuriousLearner/devkit --skill performance-profiler-curiouslearner

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: performance-profiler
Source: https://github.com/CuriousLearner/devkit/tree/main/skills/performance-profiler
Command: npx skills add https://github.com/CuriousLearner/devkit --skill performance-profiler-curiouslearner

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps identify and fix performance bottlenecks in your code, leading to faster execution, reduced resource consumption, and a better user experience.

Core Features & Use Cases

Identify Inefficiencies: Detects algorithmic complexity issues, memory leaks, and blocking operations.
Analyze Patterns: Examines function calls, memory usage, CPU load, and I/O bottlenecks.
Provide Recommendations: Offers specific code examples and strategies for optimization.
Use Case: You suspect a particular feature in your web application is running slowly. Use this Skill to pinpoint the exact functions or components causing the slowdown and get actionable advice on how to improve them.

Quick Start

Run a performance analysis on the entire project to identify optimization opportunities.

Frequently Asked Questions about performance-profiler

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I find performance bottlenecks and memory leaks in my code?▼

To find performance bottlenecks and memory leaks, this analyzer detects inefficient algorithms, blocking operations, and memory leaks. It examines function calls, memory usage, CPU load, and I/O patterns to pinpoint exact slowdowns.

How do I fix N+1 query problems and inefficient algorithms in my application?▼

To fix N+1 query problems and inefficient algorithms, it analyzes code patterns and provides specific recommendations. You receive actionable code examples and expected performance gains to resolve the detected complexity issues.

What is the best way to profile frontend and backend performance?▼

The best way to profile frontend and backend performance is by running an analysis on the entire project. This measures time and space complexity and analyzes memory footprints to identify optimization opportunities across the stack.

Can I use this to reduce CPU load and optimize code for speed?▼

Yes, you can use this to reduce CPU load and optimize code for speed. It examines CPU bottlenecks and blocking operations, offering specific code examples and strategies to improve execution efficiency and reduce resource consumption.

Does this performance profiler work without external dependencies?▼

Yes, this performance profiler works without external dependencies. It includes reference components to analyze code patterns directly, identifying optimization opportunities and inefficient algorithms natively.

When should I not use an automated performance analysis approach?▼

You should not use automated performance analysis when you lack a specific slowdown to investigate. It is designed to target known inefficiencies like blocking operations and N+1 queries, rather than serving as a general code formatting tool.