performance-profiler

Name: performance-profiler
Availability: InStock
Author: latestaiagents

Profile CPU and memory usage to identify and resolve performance bottlenecks.

5|1|Updated Feb 4, 2026

Search Tags:#performance #debugging #optimization #memory leak #profiling #bottlenecks #cpu usage

Ready to run

npx skills add https://github.com/latestaiagents/agent-skills --skill performance-profiler-latestaiagents

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: performance-profiler
Source: https://github.com/latestaiagents/agent-skills/tree/main/plugins/developer-toolkit/skills/debug/performance-profiler
Command: npx skills add https://github.com/latestaiagents/agent-skills --skill performance-profiler-latestaiagents

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps identify and resolve performance bottlenecks in your code, optimizing application speed and resource usage.

Core Features & Use Cases

Performance Measurement: Track execution time for specific operations using basic timing or structured logging.
CPU & Memory Profiling: Generate CPU profiles and heap snapshots to pinpoint performance hogs and memory leaks.
Bottleneck Identification: Detect common issues like N+1 queries, synchronous operations, and unnecessary computations.
Optimization Strategies: Apply techniques such as caching, batching, and lazy loading.
Use Case: When your application is running slower than expected, use this skill to profile the code, identify the slowest functions, and implement targeted optimizations.

Quick Start

Use the performance-profiler skill to investigate why the application is slower than expected.

Frequently Asked Questions about performance-profiler

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

FAQPage Schema

How do I find memory leaks and high CPU usage in my code?▼

To find memory leaks and high CPU usage, generate CPU profiles and heap snapshots to pinpoint resource hogs. This pinpoints exact functions causing performance bottlenecks for targeted resolution.

What's the best way to resolve N+1 queries and slow execution time?▼

Resolving N+1 queries and slow execution time involves detecting synchronous operations and unnecessary computations. Apply optimization strategies like caching, batching, and lazy loading to improve speed.

How does performance profiling work for slow applications?▼

Performance profiling works by measuring execution time through structured logging and generating heap snapshots. It analyzes common issues like N+1 queries to identify the slowest functions in your application.

Can I track execution time for specific operations without external dependencies?▼

You can track execution time for specific operations using basic timing or structured logging without external dependencies. This isolates slow components to measure application speed accurately.

When do I need to apply caching, batching, and lazy loading?▼

You need to apply caching, batching, and lazy loading after identifying unnecessary computations and synchronous operations. These optimization strategies resolve detected bottlenecks to improve application performance.

Why does my application run slower than expected during profiling?▼

Your application runs slower than expected due to performance bottlenecks like N+1 queries and memory leaks. Profiling identifies these specific slow functions and unnecessary computations for targeted optimization.