python-performance-optimization SKILL.md skillA

This file is byte-identical to the first copy the registry indexed. Same content hash, so the same checks give both the same grade.

python-performance-optimization from hermeticormus/libreuiux-claude-code is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add hermeticormus/libreuiux-claude-code/python-performance-optimization@git:20251120.288a379

Pins git:20251120.288a379 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
hermeticormus/libreuiux-claude-code
Path
plugins/python-development/skills/python-performance-optimization/SKILL.md
Versions recorded
1
Latest version
git:20251120.288a379, committed Nov 20, 2025
Size
21,268 bytes
Repository stars
118
License
MIT

Profile and optimize Python code using cProfile, memory profilers, and performance best practices. Use when debugging slow Python code, optimizing bottlenecks, or improving application performance.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Python Performance Optimization

Comprehensive guide to profiling, analyzing, and optimizing Python code for better performance, including CPU profiling, memory optimization, and implementation best practices.

## When to Use This Skill

- Identifying performance bottlenecks in Python applications
- Reducing application latency and response times
- Optimizing CPU-intensive operations
- Reducing memory consumption and memory leaks
- Improving database query performance
- Optimizing I/O operations
- Speeding up data processing pipelines
- Implementing high-performance algorithms
- Profiling production applications

## Core Concepts

### 1. Profiling Types
- **CPU Profiling**: Identify time-consuming functions
- **Memory Profiling**: Track memory allocation and leaks
- **Line Profiling**: Profile at line-by-line granularity
- **Call Graph**: Visualize function call relationships

### 2. Performance Metrics
- **Execution Time**: How long operations take
- **Memory Usage**: Peak and average memory consumption
- **CPU Utilization**: Processor usage patterns
- **I/O Wait**: Time spent on I/O operations

### 3. Optimization Strategies
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add hermeticormus/libreuiux-claude-code/python-performance-optimization@sha256:66c3fd00bf4fc253

The line at the top of this page pins the label git:20251120.288a379, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_l2buc6lktto5va2x.svg)](https://markdownregistry.com/a/art_l2buc6lktto5va2x)

3 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Nov 20, 2025.

versioncommittedcommitsizeaudit
git:20251120.288a379 latest2025-11-20 288a379 21,268 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (21268 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

hermeticormus/libreuiux-claude-code · 118 stars · license MIT · pushed 2026-10-04 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_l2buc6lktto5va2x
GET https://markdownregistry.com/api/v1/resolve?ref=hermeticormus/libreuiux-claude-code/python-performance-optimization
GET https://markdownregistry.com/api/v1/blob/66c3fd00bf4fc2534316e52d0d60fe5f41469dc7076ef8c72d8550f619614db1

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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