skills.rest
AnExiledDev
AnExiledDevCOMMUNITY
Explore all skills by this author →
GitHub

performance-profiling

Guide profiling workflows to locate performance bottlenecks in Python and JavaScript code.

9|5|Updated Aug 8, 2025
Search Tags:#bottlenecks#benchmark#flamegraph#profile#py-spy#cprofile
One-click install
npx skills add https://github.com/AnExiledDev/CodeForge --skill performance-profiling-anexileddev
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: performance-profiling
Source: https://github.com/AnExiledDev/CodeForge/tree/main/.devcontainer/plugins/devs-marketplace/plugins/code-directive/skills/performance-profiling
Command: npx skills add https://github.com/AnExiledDev/CodeForge --skill performance-profiling-anexileddev

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Locates performance bottlenecks in code by guiding measurement and profiling workflows.

Core Features & Use Cases

  • Guided profiling lifecycle: baseline, profile, analyze, and verify improvements with recommended tools.
  • Multi-language & system coverage: applicable to Python, JavaScript, and system-level profiling to expose CPU and memory hotspots.
  • Use Cases: identify hot paths, reduce latency, and validate optimization strategies with flamegraphs and reports.

Quick Start

Run a targeted profiling session on your project to reveal hot paths and memory hotspots.

Frequently Asked Questions about performance-profiling

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

FAQPage Schema
How do I find performance bottlenecks in my Python application?▼

You locate performance bottlenecks by running a guided profiling workflow that baselines execution, profiles hot paths with tools like cProfile or py-spy, and analyzes reports to pinpoint CPU hotspots.

What is the best way to profile JavaScript code for latency issues?▼

Profiling JavaScript for latency involves using guided measurement workflows with Chrome DevTools to expose CPU and memory hotspots, identify hot paths, and validate optimization strategies.

Can I use py-spy to generate a flamegraph for my system-level workflows?▼

Yes, py-spy can generate flamegraphs for system-level workflows, as the profiling lifecycle supports multi-language and system coverage to expose memory and CPU hotspots in real-world apps.

How do I benchmark and validate code improvements after optimizing a hot path?▼

You benchmark and validate improvements by applying targeted hot-path optimization, then measuring and verifying performance gains against the initial baseline to ensure latency reduction.

Does this profiling workflow support both Python and JavaScript environments?▼

Yes, this profiling workflow supports both Python and JavaScript environments, applying measurement and optimization techniques across both languages to benchmark and fix bottlenecks in real-world apps.

Related Skills

Explore More Software Engineering Skills→
pluginagentmarketplacepluginagentmarketplace
4

go-performance

Profiles CPU and memory usage in Go applications to identify hotspots and guide performance improvements.

Community
Intermediate
saranskumarsaranskumar

performance

Profile frontend, backend, and database components to identify bottlenecks and quantify optimizations.

Community
Advanced
CybLowCybLow
1

perf-profiling

Profile Python applications for CPU, memory, and async bottlenecks.

Community
Advanced
sambersamber
2.9k

golang-benchmark

Design and execute Go benchmarks with b.Loop and benchstat comparisons.

Community
Advanced