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Godhand-Arnav
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performance-profiler

Profile CPU, memory, and I/O bottlenecks across Node.js, Python, and Go.

Updated Apr 20, 2026
Search Tags:#performance#python#go#profiling#nodejs#flamegraph#profile
One-click install
npx skills add https://github.com/Godhand-Arnav/Scalar-finals --skill performance-profiler-godhand-arnav
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: performance-profiler
Source: https://github.com/Godhand-Arnav/Scalar-finals/tree/main/.claude/skills/performance-profiler
Command: npx skills add https://github.com/Godhand-Arnav/Scalar-finals --skill performance-profiler-godhand-arnav

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Profiling and optimizing multi-language applications to identify CPU, memory, and I/O bottlenecks across Node.js, Python, and Go.

Core Features & Use Cases

  • CPU, memory, and I/O profiling across Node.js, Python, and Go with flamegraphs, heap analysis, and profiling tools.
  • Bundle and database analysis to optimize build sizes and query efficiency.
  • Use Case: Before a release or after a slowdown, run the profiler to establish baselines, pinpoint hotspots, and validate improvements.

Quick Start

Run a baseline profile on your project using the provided script and compare results before and after optimization.

Frequently Asked Questions about performance-profiler

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

FAQPage Schema
How do I identify CPU and memory bottlenecks across Node.js, Python, and Go applications?▼

To identify CPU and memory bottlenecks across Node.js, Python, and Go, you can profile your applications using flamegraphs and heap analysis. This process establishes baselines and pinpoints runtime hotspots for targeted fixes.

What is the best way to compare performance before and after an optimization fix?▼

The best way to compare performance before and after an optimization fix is to run a baseline profile on your project, apply your changes, and then compare the updated profiling results against the initial metrics.

Can I generate flamegraphs and heap analyses for multi-language projects?▼

Yes, you can generate flamegraphs and heap analyses for multi-language projects. The profiling scripts support Node.js, Python, and Go to help you visualize CPU consumption and memory allocation across different runtimes.

How do I profile database queries and bundle sizes during development?▼

To profile database queries and bundle sizes during development, you use the provided profiling tooling to analyze build sizes and query efficiency. This helps pinpoint I/O bottlenecks and optimize build outputs before release.

Does application profiling work for integrating performance reports into CI dashboards?▼

Yes, application profiling works for integrating performance reports into CI dashboards. The profiling scripts output data suitable for CI dashboards and downstream analytics, allowing you to track baselines pre-release or post-incident.

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