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performance-profiler

Identifies bottlenecks in Node.js, Python, and Go codebases via profiling and bundle analysis.

Updated Apr 9, 2026
Search Tags:#performance#python#go#node.js#profile#memory-leak#bundle-analysis
One-click install
npx skills add https://github.com/Patasse97/claude-skills --skill performance-profiler-patasse97
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: performance-profiler
Source: https://github.com/Patasse97/claude-skills/tree/main/engineering/performance-profiler
Command: npx skills add https://github.com/Patasse97/claude-skills --skill performance-profiler-patasse97

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Profiling and optimization across Node.js, Python, and Go apps to identify bottlenecks, measure improvements, and guide performance upgrades.

Core Features & Use Cases

  • CPU profiling with flamegraphs and language-specific profilers to pinpoint hot paths.
  • Memory profiling with heap snapshots and leak detection to ensure stable behavior.
  • Bundle size and weight estimation to optimize asset delivery.
  • Baseline/after measurements templates and load-testing guidance to validate fixes.

Quick Start

Run the profiler against a project directory to generate a performance report.

Frequently Asked Questions about performance-profiler

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

FAQPage Schema
How do I identify performance bottlenecks in my Node.js, Python, or Go codebase?▼

Performance profiling scans source files, dependencies, and bundles to surface bottlenecks. It detects CPU and memory usage issues across Node.js, Python, and Go projects to guide optimization.

What is the best way to detect memory leaks and analyze heap snapshots?▼

Memory profiling uses heap snapshots and leak detection to ensure stable application behavior. This process identifies memory allocation issues and verifies stability under load.

How do I measure bundle size and dependency footprint for web applications?▼

Bundle analysis estimates asset weight and dependency footprint to optimize delivery. This evaluates your bundle size to reduce payload overhead and improve loading performance.

Can I run baseline and after performance comparisons to validate optimization fixes?▼

Yes, baseline and after measurements validate optimization fixes by comparing metrics. This uses templates and load-testing guidance to verify performance improvements.

Does CPU profiling work with flamegraphs to pinpoint hot paths in Python and Go?▼

CPU profiling works with flamegraphs and language-specific profilers to pinpoint hot paths. This applies to Python and Go projects to locate active execution bottlenecks.

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