code-profiler

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

Stars 163

Forks 31

Install this agent skill to your Project

npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/development/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