Python Performance Optimization
CheckedHelps with Python, performance optimization, optimization as part of developing backend services and APIs workflows.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add ormus-solutions/libreuiux-claude-code --skill python-performance-optimization -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
hermeticormus
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.
Automated safety checks
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 hermeticormus/libreuiux-claude-code at 2a69cbbc46.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 2a69cbbc46
- Scanned
- 1 file, 820 lines
About this skill
What it does
This skill optimizes Python code for improved performance. It analyzes existing Python scripts, identifies bottlenecks, and suggests or implements changes to reduce execution time and resource consumption. The skill focuses on techniques like profiling, algorithm optimization, and efficient data structure usage.
When to use it
- Slow Scripts: When a Python script takes an unexpectedly long time to run.
- Resource Intensive Tasks: For tasks that consume excessive memory or CPU resources.
- Code Refactoring: During code refactoring efforts where performance is a key consideration.
- Data Processing Pipelines: To accelerate data processing workflows and reduce overall runtime.
Key capabilities
- Profiling Python code to identify bottlenecks.
- Suggesting algorithmic improvements for efficiency.
- Optimizing data structure usage.
- Implementing performance enhancements directly within the script.
Example prompts
- "Optimize this Python script for speed: [paste script here]"
- "Analyze this function and suggest ways to improve its performance: [paste function definition here]"
- "Profile this code and tell me where it's spending most of its time."
Tips & gotchas
The skill requires access to the Python source code. While it can suggest improvements, understanding the underlying logic is helpful for evaluating the proposed changes.