comment-code-generate-a-tutorial
Has your agent turn scripts into easy-to-understand projects, with clear comments and a full tutorial. Ideal for sharing knowledge and facilitating learning.
What it does
This tool transforms a Python programming script into an easy-to-understand project. It organizes the code, adds step-by-step explanations, and creates a complete text guide so anyone can learn to use it.
When to use it
- ✓When you have Python code that isn't clear.
- ✓When wanting to teach someone how to use a script.
- ✓To turn a simple code into a complete and explanatory project.
Example of what to ask your AI
“Turn this Python code into a beginner-friendly project with explanations and a guide.”
Want more? Open the sections below.
How to use
The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.
Skill link
Ready-to-paste message
How it works
The AI first improves the code by following best practices. Then, it adds explanatory comments to each part. Finally, it generates a text file (Markdown) with a complete project guide.
Installation
Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.
In the terminal (Claude Code, Codex, Cursor), in your project folder:
npx skills add github/awesome-copilot --skill comment-code-generate-a-tutorialOr download just the file:
curl -L https://raw.githubusercontent.com/github/awesome-copilot/main/skills/comment-code-generate-a-tutorial/SKILL.md -o SKILL.mdTechnical content (original SKILL.md)
Original text by the author, straight from GitHub.
Transform this Python script into a polished, beginner-friendly project by refactoring the code, adding clear instructional comments, and generating a complete markdown tutorial.
Refactor the code
- Apply standard Python best practices
- Ensure code follows the PEP 8 style guide
- Rename unclear variables and functions if needed for clarity
Add comments throughout the code
- Use a beginner-friendly, instructional tone
- Explain what each part of the code is doing and why it's important
- Focus on the logic and reasoning, not just syntax
- Avoid redundant or superficial comments
Generate a tutorial as a
README.mdfile
Include the following sections:- Project Overview: What the script does and why it's useful
- Setup Instructions: Prerequisites, dependencies, and how to run the script
- How It Works: A breakdown of the code logic based on the comments
- Example Usage: A code snippet showing how to use it
- Sample Output: (Optional) Include if the script returns visible results
- Use clear, readable Markdown formatting
FAQ
What does 'refactor the code' mean?
It means organizing and improving existing code without changing what it does, to make it cleaner and easier to read.
Why add comments?
Comments are notes within the code that explain what each part does, helping the reader understand the logic.
What is a Markdown tutorial?
It's a guide written in a simple text format that can be easily turned into web pages or well-formatted documents, like a project README.
Details
Original description by the author
Transform this Python script into a polished, beginner-friendly project by refactoring the code, adding clear instructional comments, and generating a complete markdown tutorial.
repo: github/awesome-copilot
Popularity
- GitHub stars
- 40k
- Ranking position
- #5056
- License
- MIT
- Updated
- 10/15/2026
Comments
- …
More skills from this repository
acquire-codebase-knowledge
Helps your agent understand and document an existing code project. It's useful for onboarding new people or getting an overview of the architecture.
github/awesome-copilot
acreadiness-assess
Enables your agent to assess a project's readiness for AI and generate a report. It's useful for understanding how well a project is prepared to use AI tools.
github/awesome-copilot
acreadiness-generate-instructions
Helps your agent create instructions for AI tools based on an assessment. It's useful for improving how AI interacts with code and closing identified gaps.
github/awesome-copilot
acreadiness-policy
Enables your agent to help define or apply policies for AI project assessment. It's useful for standardizing how projects are evaluated and ensuring compliance.
github/awesome-copilot
Similar skills
benchmark-optimization-loop
Has your agent improve something's speed in a measured way. It tests multiple versions and chooses the fastest one that still works correctly.
affaan-m/ECC
change-impact
Helps your agent analyze the impact of code changes before making them. It compares the planned vs. actual results afterward, covering paths, data, tests, and documentation. Useful for risky or system-wide changes.
affaan-m/ECC
click-path-audit
Lets your agent trace all user buttons and interactions to find bugs. It finds issues where functions seem to work alone but fail together. Useful when bugs persist even after debugging.
affaan-m/ECC