Python Performance
CheckedHelps with Python, performance 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 athola/claude-night-market --skill python-performance -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
athola
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 athola/claude-night-market at 9045831255.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 9045831255
- Scanned
- 6 files, 499 lines
About this skill
What it does
The athola-python-performance skill optimizes Python code for improved execution speed and resource utilization. It analyzes existing Python scripts, identifies bottlenecks, and applies techniques like profiling, algorithm optimization, and efficient data structures to enhance performance. The goal is to reduce runtime and improve overall efficiency of Python applications.
When to use it
- Slow Scripts: When a Python script takes an unacceptably long time to complete.
- Resource Intensive Tasks: For scripts that consume excessive memory or CPU resources.
- Performance Bottlenecks: Identifying areas within code where performance can be significantly improved through optimization.
- Large Datasets: Optimizing processing of large datasets in Python applications.
Key capabilities
- Code Profiling
- Algorithm Optimization
- Efficient Data Structure Implementation
- Bottleneck Identification
Example prompts
- "Optimize this Python script for speed: [paste code here]"
- "Analyze the performance of my data processing pipeline and suggest improvements."
- "Identify bottlenecks in this function: [paste function definition]"
Tips & gotchas
The skill requires access to the Python code being analyzed. Complex or heavily reliant on external libraries may require more extensive optimization efforts.