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profile-code

Profile Python code to diagnose CPU time and memory usage.

18|5|Updated Nov 3, 2025
Search Tags:#code analysis#performance#optimization#profiling#bottlenecks#cpu usage#memory usage
One-click install
npx skills add https://github.com/mvillmow/ProjectOdyssey --skill profile-code
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: profile-code
Source: https://github.com/mvillmow/ProjectOdyssey/tree/main/.claude/skills/tier-2/profile-code
Command: npx skills add https://github.com/mvillmow/ProjectOdyssey --skill profile-code

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires cProfile, memory-profiler, graphviz.

What problem does it solve?

Identifying performance bottlenecks (CPU time, memory allocation) in complex codebases is challenging without specialized tools, leading to inefficient optimization efforts.

Core Features & Use Cases

  • Detailed Profiling: Uses tools like cProfile for CPU and memory-profiler for memory to measure execution time and resource usage.
  • Bottleneck Identification: Pinpoints functions consuming the most time or memory, along with call counts and call graphs.
  • Use Case: When your application is running slowly, use this skill to profile its execution, identifying the exact functions where most CPU time is spent, guiding your optimization efforts.

Quick Start

Use the profile-code skill to perform CPU profiling on 'script.py' and display the top 30 cumulative time consumers.

Frequently Asked Questions about profile-code

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

FAQPage Schema
How do I identify which functions are consuming the most CPU time in my Python code?▼

Use CPU profiling with cProfile to measure execution time across all functions. Profile-code analyzes your script's runtime, ranks functions by cumulative time spent, and identifies the exact hot spots where optimization efforts should focus.

Can I profile both CPU and memory usage in the same analysis?▼

Yes. Profile-code combines cProfile for CPU time measurement with memory-profiler to track memory allocations. You get a unified report showing both time and memory consumption per function, enabling tradeoff analysis.

What information does a profiling report include?▼

Profiling reports contain per-function metrics: execution time, call counts, call graphs, and memory allocations. Profile-code surfaces top time consumers and provides optimization guidance to help you prioritize fixes.

How do I find bottlenecks when my Python application is running slowly?▼

Run profile-code against your application to generate detailed execution and memory profiles. It pinpoints functions consuming most resources and produces a structured report guiding which code sections to optimize.

Does profiling work across complex codebases with many functions?▼

Yes. Profile-code handles complex Python codebases by collecting metrics across all functions and call paths. It produces call graphs and ranked lists so you can navigate large applications efficiently.

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