code-profiler

Use when asked to profile Python code performance, identify bottlenecks, measure execution time, or analyze function call statistics.

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Install this agent skill to your Project

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

SKILL.md

Code Profiler

Analyze Python code performance, identify bottlenecks, and optimize execution with comprehensive profiling tools.

Purpose

Performance analysis for:

Bottleneck identification
Function execution time measurement
Memory usage profiling
Call graph visualization
Optimization validation

Features

Time Profiling: Measure function execution times
Line-by-Line Analysis: Profile each line of code
Call Statistics: Function call counts and cumulative time
Memory Profiling: Track memory allocation and usage
Flamegraph Visualization: Visual call stack analysis
Comparison: Before/after optimization comparison

Quick Start

python

from code_profiler import CodeProfiler

# Profile function
profiler = CodeProfiler()
profiler.profile_function(my_function, args=(arg1, arg2))
profiler.print_stats(top=10)

# Profile script
profiler.profile_script('script.py')
profiler.export_report('profile_report.html')

CLI Usage

bash

# Profile Python script
python code_profiler.py script.py

# Profile with line-by-line analysis
python code_profiler.py script.py --line-by-line

# Export HTML report
python code_profiler.py script.py --output report.html