code-optimizer

Name: code-optimizer
Availability: InStock
Author: automacoescomerciais

Automate multi-objective code optimization via evolutionary analysis and Pareto-based selection.

Updated Sep 1, 2025

Search Tags:#performance #maintainability #quality #refactor #optimize #code

Ready to run

npx skills add https://github.com/automacoescomerciaisintegradas/PAGIA --skill code-optimizer-automacoescomerciaisintegradas

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: code-optimizer
Source: https://github.com/automacoescomerciaisintegradas/PAGIA/tree/main/.pagia/skills/code-optimizer
Command: npx skills add https://github.com/automacoescomerciaisintegradas/PAGIA --skill code-optimizer-automacoescomerciaisintegradas

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill automatically optimizes code to improve performance, readability, and maintainability using an evolutionary multi-objective approach.

Core Features & Use Cases

GEPA-driven optimization: iteratively refactors and tunes code to reduce complexity and improve quality.
Multi-objective evaluation: balances performance, readability, and maintainability to avoid regressions.
Use Case: refactor a legacy module to meet SOLID principles while preserving behavior.

Quick Start

Provide an optimized patch for the given code snippet and explain the key changes.

Frequently Asked Questions about code-optimizer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I refactor legacy code to improve performance and maintainability without breaking existing functionality?▼

You can refactor legacy code by applying evolutionary multi-objective optimization to balance performance, readability, and maintainability. This approach uses Pareto-based selection to safely restructure the codebase without altering its original behavior.

What is multi-objective code optimization and how does it prevent performance regressions?▼

Multi-objective code optimization evaluates performance, readability, and maintainability simultaneously to prevent regressions. It uses Pareto-based selection to ensure that improving one metric does not negatively impact the others during the refactoring process.

How do I automatically reduce code complexity to meet SOLID principles?▼

You can reduce code complexity automatically by applying GEPA-driven iterative analysis to refactor modules. This process targets complexity reduction and quality improvements to align your code with SOLID principles while preserving its original behavior.

Can I use automated refactoring tools across both legacy and modern software projects?▼

Yes, automated refactoring using evolutionary analysis supports both legacy and modern software projects. It iteratively analyzes and tunes code across diverse codebases to safely deliver performance enhancements and maintainability improvements.

What is the best way to optimize a code snippet for quality and efficiency?▼

The best way to optimize code is through automated evolutionary analysis that iteratively refactors the snippet. This multi-objective evaluation process safely improves quality and performance by balancing complexity reduction with efficiency gains.