performance-profiler

Diagnose performance issues in Python, Node.js, and Go projects.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/ThalesAndrades/forumfoup2026 --skill performance-profiler-thalesandrades
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: performance-profiler
Source: https://github.com/ThalesAndrades/forumfoup2026/tree/main/.claude/skills/performance-profiler
Command: npx skills add https://github.com/ThalesAndrades/forumfoup2026 --skill performance-profiler-thalesandrades

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires py-spy, clinic.js, nplusone, memory_profiler, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps developers analyze their application's performance to uncover CPU, memory, and I/O issues, enabling targeted optimizations.

Core Features & Use Cases

  • Profiling Applications: Detect bottlenecks in Node.js, Python, and Go applications through flamegraphs and heap snapshots.
  • Resource Analysis: Examine large files and dependency counts to evaluate project footprint and potential overweight assets.
  • Use Case: A developer wants to diagnose slow startup times in a Python backend; they can use this Skill to generate heap snapshots and identify memory leaks before deploying updates.

Quick Start

Run the performance profiler script on your project directory to identify performance risks and resource issues efficiently.

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 Python application?

To identify performance bottlenecks in a Python application, this Skill analyzes your codebase and resource usage, generating heap snapshots to detect memory leaks and CPU issues for targeted optimization.

Can I profile Node.js applications to diagnose slow startup times?

Yes, you can profile Node.js applications to diagnose slow startup times. This Skill examines resource use and dependencies to evaluate project footprint and uncover potential overweight assets causing delays.

What is the best way to analyze CPU and memory issues across multiple platforms?

The best way to analyze CPU and memory issues across multiple platforms is using this Skill to perform comprehensive profiling. It leverages Python, Node.js, and Go tooling to ensure resource evaluation with minimal setup.

Do I need py-spy or clinic.js installed to run performance profiling?

You need dependencies like py-spy, clinic.js, memory_profiler, and nplusone available in your environment. These tools enable the Skill to accurately diagnose performance issues and generate detailed resource reports.

How do I evaluate project footprint and large files before deployment?

To evaluate project footprint and large files before deployment, run the performance profiler script on your project directory. It examines large files and dependency counts to identify performance risks and resource issues.