Can it profile running production processes?

Yes, it provides guidance on using sampling profilers like py-spy that can attach to active PIDs with near-zero overhead.

What profiling tools are included in this skill?

It utilizes industry-standard tools including py-spy, cProfile, and scalene for Python, and clinic.js and Chrome DevTools for Node.js.

Which programming languages does this skill support?

This skill provides deep integration and specialized toolsets for Python and Node.js (JavaScript/TypeScript) environments.

Can this skill help with memory leaks?

Yes, it includes specific workflows for taking heap snapshots, monitoring allocation timelines, and identifying unbounded caches or circular references.

How does it ensure benchmarks are accurate?

The skill follows a strict methodology using tools like hyperfine that account for warmup runs, multiple iterations, and statistical significance.

Performance Profiling

Name: Performance Profiling
Author: AnExiledDev

byAnExiledDev

•

Analytics & Monitoring

Optimizes code execution and resource usage through data-driven profiling and systematic benchmarking for Python and Node.js.

The Performance Profiling skill equips Claude with a rigorous methodology for identifying and resolving software bottlenecks. By emphasizing a 'measure-first, optimize-second' approach, it helps developers move beyond guesswork to find real performance issues using CPU profilers, memory analyzers, and flamegraphs. Whether you are debugging a memory leak in Node.js or reducing latency in a Python API, this skill provides the specific commands and analytical frameworks needed to establish baselines, verify optimizations, and ensure every change results in a measurable improvement.

Key Features

016 GitHub stars

02Generation and interpretation of flamegraphs to visualize hot paths

03Statistical benchmarking using hyperfine and pytest-benchmark

04Memory leak detection through heap snapshots and allocation tracking

05Automated CPU and memory profiling for Python and Node.js environments

06System-level resource monitoring including I/O and syscall analysis

Use Cases

01Comparing the performance impact of alternative algorithms or libraries

02Identifying the specific function causing high latency in a web service

03Diagnosing and fixing memory leaks in long-running background workers

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add anexileddev/codeforge performance-profiling

For use in Claude.ai and ChatGPT

Download Skill