Python Performance Optimization

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by acaprino · vlatest · Repository

Helps with Python, performance optimization, optimization as part of developing backend services and APIs workflows.

Install on your platform

We auto-selected Claude Code based on this skill’s supported platforms.

1

Run in terminal (recommended)

terminal
claude mcp add acaprino-python-performance-optimization npx -- -y @trustedskills/acaprino-python-performance-optimization
2

Or manually add to ~/.claude/settings.json

~/.claude/settings.json
{
  "mcpServers": {
    "acaprino-python-performance-optimization": {
      "command": "npx",
      "args": [
        "-y",
        "@trustedskills/acaprino-python-performance-optimization"
      ]
    }
  }
}

Requires Claude Code (claude CLI). Run claude --version to verify your install.

About This Skill

What it does

This skill optimizes Python code for improved performance. It analyzes existing Python scripts and suggests changes to reduce execution time and resource consumption, focusing on areas like algorithm efficiency and memory usage. The tool aims to provide practical recommendations that developers can implement directly into their projects.

When to use it

  • Slow Scripts: When a Python script takes an unexpectedly long time to run.
  • Resource Intensive Tasks: For scripts that consume excessive CPU or memory resources.
  • Performance Bottlenecks: To identify and address specific areas within code causing performance slowdowns.
  • Code Refactoring: During code refactoring efforts, to ensure performance improvements are maintained.

Key capabilities

  • Python code analysis
  • Performance bottleneck identification
  • Algorithm efficiency suggestions
  • Memory usage optimization recommendations

Example prompts

  • "Analyze this Python script and suggest ways to improve its speed: [script content]"
  • "I have a slow data processing script. Can you identify the performance bottlenecks?"
  • "Optimize this function for memory usage: [function code]"

Tips & gotchas

The skill's effectiveness depends on the complexity of the Python code provided; very large or highly optimized projects may yield less impactful suggestions. Ensure the provided code is complete and representative of the problem area being addressed.

Tags

🛡️

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Details

Version
vlatest
License
Author
acaprino
Installs
15

🌐 Community

Passed automated security scans.