Skip to content
TrustedSkillsbeta
Back to all skills

Optimizing Python Performance

Checked
wdm0006·vlatest·backend·MIT

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

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add wdm0006/python-skills --skill optimizing-python-performance -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

wdm0006

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned wdm0006/python-skills at 954796b7fc.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
954796b7fc
Manifest
skills/python/performance/SKILL.md
Scanned
3 files, 444 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill analyzes Python code and suggests performance improvements. It identifies bottlenecks, recommends optimized algorithms or data structures, and can provide specific code modifications to reduce execution time and resource consumption. The skill aims to enhance the efficiency of Python applications by addressing common performance issues.

When to use it

  • Slow scripts: When a Python script takes an unexpectedly long time to execute.
  • Resource-intensive tasks: For computationally heavy operations like data processing or machine learning model training.
  • Debugging performance problems: To pinpoint the root cause of slowdowns in existing codebases.
  • Optimizing APIs: To improve response times for Python-based API endpoints.

Key capabilities

  • Bottleneck identification
  • Algorithm optimization suggestions
  • Data structure recommendations
  • Code modification proposals

Example prompts

  • "Analyze this Python script and suggest ways to make it run faster: [script content]"
  • "I'm seeing slow performance in my data processing pipeline. Can you identify the bottlenecks?"
  • "How can I optimize this function for speed? [function code]"

Tips & gotchas

The skill requires access to the Python code being analyzed. Complex or heavily optimized code may yield less actionable suggestions, as the optimal solution might require deeper domain expertise.