code-profiler

Profile Python code performance using cProfile and pstats modules.

86|18|Updated Dec 14, 2025

Search Tags:#code analysis #performance #debugging #python #optimization #profiling

Ready to run

npx skills add https://github.com/dkyazzentwatwa/chatgpt-skills --skill code-profiler

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: code-profiler
Source: https://github.com/dkyazzentwatwa/chatgpt-skills/tree/main/code-profiler
Command: npx skills add https://github.com/dkyazzentwatwa/chatgpt-skills --skill code-profiler

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill helps developers identify performance bottlenecks, measure execution times, and analyze function call statistics in Python code, leading to more efficient and optimized applications.

Core Features & Use Cases

Performance Analysis: Pinpoint slow functions and lines of code.
Memory Profiling: Track memory usage to prevent leaks.
Call Graph Visualization: Understand the flow of execution.
Use Case: A developer notices their Python script is running slower than expected. They use this Skill to profile the script, identify the most time-consuming functions, and then refactor that code for better performance.

Quick Start

Profile the Python script 'my_script.py' and show the top 10 functions by cumulative time.

Frequently Asked Questions about code-profiler

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

FAQPage Schema

How do I find performance bottlenecks in my Python code?▼

To find performance bottlenecks in Python code, you can profile function call statistics and measure execution time line-by-line. This process pinpoints slow functions so you can refactor them for better optimization.

Can I track memory usage to prevent leaks during Python profiling?▼

Yes, you can track memory usage to prevent leaks during Python profiling. The skill analyzes memory consumption alongside execution metrics to help identify and resolve memory-related issues in your script.

How do I profile a Python script and sort functions by cumulative time?▼

You profile a Python script and sort functions by cumulative time by running it through Python's built-in cProfile and pstats modules. This generates comprehensive performance metrics showing the top time-consuming functions.

Does this tool provide call graph visualization for Python execution flow?▼

Yes, this tool provides call graph visualization for Python execution flow. It helps you understand the flow of execution by mapping function calls, making it easier to validate optimization efforts.

What is the best way to measure execution time for slow Python functions?▼

The best way to measure execution time for slow Python functions is through detailed line-by-line profiling. This approach identifies exactly which lines of code consume the most time during script execution.

Do I need to install external dependencies to analyze Python code performance?▼

No, you do not need to install external dependencies to analyze Python code performance. The skill utilizes Python's built-in cProfile and pstats modules to generate comprehensive performance metrics without extra requirements.