# Performance Profiling

> Measuring CPU performance metrics and memory bottlenecks in Python code blocks.

- Skill: `lord1egypt/performance-profiling-2` (Agent Skill)
- Install (CLI): `npx skillmds@latest add lord1egypt/performance-profiling-2`
- Raw SKILL.md: https://api.skillmd.com/api/skills/lord1egypt/performance-profiling-2/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- License: MIT license
- Author: Lord1Egypt (https://skillmd.com/u/lord1egypt)
- Updated: 2026-09-21
- Page: https://skillmd.com/skills/lord1egypt/performance-profiling-2

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# Performance Profiling

## Overview
Profiling calculates statistics of code execution, revealing bottleneck processes.

## When to Use This Skill
Use to analyze slow mathematical scripts, inspect pillow memory footprint, or optimize algorithms.

## Quick Start (with runnable code examples)

```python
import cProfile

def count_primes():
    primes = []
    for num in range(2, 5000):
        if all(num % i != 0 for i in range(2, int(num**0.5) + 1)):
            primes.append(num)
    return len(primes)

# Run profile statistics output
cProfile.run('count_primes()')
```

## Advanced Usage
Use `line_profiler` to trace memory and speed per script line, investigate memory leaks via `tracemalloc`, and generate flamegraphs.

## Key References
- [Python Profiling documentation](https://docs.python.org/3/library/profile.html)

## Dependencies
- Python Standard Library