GA-Skill-Evolution

A genetic algorithm to evolve SKILL.md files

1 Introduction

1.1 Background

Genetic algorithms are optimization techniques inspired by natural evolution. They are commonly used to solve search and optimization problems where traditional methods may struggle.

1.2 Objectives

This project uses a Genetic Algorithm (GA) to evolve SKILL.md files, optimizing them for producing better responses (see 2.3 Fitness Function) from Large Language Models.

2 Implementation

2.1 Population

2.2 Chromosome Representation

2.3 Fitness Function

2.4 Selection

2.5 Crossover

2.6 Mutation

2.8 Termination Condition

3 Usage