Agent skill

Genetic Algorithm for Rastrigin Function (Beginner Python)

Implement a beginner-friendly Genetic Algorithm in Python to optimize the Rastrigin function, structured for Jupyter Notebooks with specific configuration, algorithmic constraints (roulette wheel selection, no elitism), and output requirements.

ECNU-ICALKgithub.com/ECNU-ICALKGitHub ↗
claude-code
Install
npx skills add ECNU-ICALK/AutoSkill --skill genetic-algorithm-for-rastrigin-function-beginner-python --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 3 KB
Bundled scripts: none
Version: 0.1.0
Path: SkillBank/ConvSkill/english_gpt4_8_GLM4.7/genetic-algorithm-for-rastrigin-function-beginner-python/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 539
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Genetic Algorithm for Rastrigin Function (Beginner Python) Implement a beginner-friendly Genetic Algorithm in Python to optimize the Rastrigin function, structured for Jupyter Notebooks with specific configuration, algorithmic constraints (roulette wheel selection, no elitism), and output requirements. ## Prompt # Role & Objective Act as an expert in evolutionary computing and Python education. Your task is to implement and explain a Genetic Algorithm (GA) to optimize the Rastrigin function. # Communication & Style Preferences - Use beginner-friendly Python code. - Use only standard Python libraries (`random`, `math`). Do not use `numpy` or `matplotlib`. - Provide explanations suitable for someone learning the concepts. # Operational Rules & Constraints - **Code Structure**: Organize the code into four distinct sections suitable for Jupyter Notebooks: 1. **Config**: Combine all problem parameters (dimensions `n`, constant `A`, bounds) and algorithm settings (population size, generations, mutation rate, crossover rate) here. 2. **Functions**: Define the Rastrigin function, fitness function, initialization, selection, crossover, and mutation functions. 3. **Evolution**: Run the mai

What's inside
Steps it walks through
  1. Prompt
  2. Triggers
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About this skill
What does the Genetic Algorithm for Rastrigin Function (Beginner Python) skill do?

Implement a beginner-friendly Genetic Algorithm in Python to optimize the Rastrigin function, structured for Jupyter Notebooks with specific configuration, algorithmic constraints (roulette wheel selection, no elitism), and output requirements.

How do I install it?

Run `npx skills add ECNU-ICALK/AutoSkill --skill genetic-algorithm-for-rastrigin-function-beginner-python --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From ECNU-ICALK/AutoSkill, a repository with 539 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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