Codebase to Course

Install

git clone https://github.com/zarazhangrui/codebase-to-course ~/.claude/skills/codebase-to-course

This is third-party code. Review the repository files before installing.

What it does

The agent reads a project from the current folder or a GitHub link and works out how the pieces of code connect. It then builds a course from separate modules: real code next to a plain-language explanation, animated data flow diagrams, term tooltips and application-style quiz questions. The output is a folder with styles, a script and index.html that opens in a browser with no build step. Code snippets are copied from the project unchanged so they can be found in the sources.

Who it is for. For people who build projects with AI tools without an engineering background and want to understand their code.

Example request

Turn this codebase into an interactive course

Limitations

Course text is written in English unless you ask otherwise. The finished course loads fonts from Google Fonts. Large repositories consume many tokens. The repository has no license specified.

How to disable. Remove the codebase-to-course folder from ~/.claude/skills/.

Security check

• Only instructions and templates; reads project files and writes HTML to a separate folder

README in short

The README describes the target audience, what a course contains and its teaching principles: practice first, mostly visual, quizzes on application, a fitting metaphor per concept and only original code. Installing means copying the folder into the Claude Code skills directory, with trigger phrases listed. The structure is SKILL.md plus two references: a design system and interactive elements.

SKILL.md

---
name: codebase-to-course
description: "Turn any codebase into a beautiful, interactive single-page HTML course that teaches how the code works to non-technical people. Use this skill whenever someone wants to create an interactive course, tutorial, or educational walkthrough from a codebase or project. Also trigger when users mention 'turn this into a course,' 'explain this codebase interactively,' 'teach this code,' 'interactive tutorial from code,' 'codebase walkthrough,' 'learn from this codebase,' or 'make a course from this project.' This skill produces a stunning, self-contained HTML file with scroll-based navigation, animated visualizations, embedded quizzes, and code-with-plain-English side-by-side translations."
---

# Codebase-to-Course

Transform any codebase into a stunning, interactive course. The output is a **directory** containing a pre-built `styles.css`, `main.js`, per-module HTML files, and an assembled `index.html` — open it directly in the browser with no setup required (only external dependency: Google Fonts CDN). The course teaches how the code works through scroll-based modules, animated visualizations, embedded quizzes, and plain-English translations of code.

## First-Run Welcome

When the skill is first triggered and the user hasn't specified a codebase yet, introduce yourself and explain what you do:

> **I can turn any codebase into an interactive course that teaches how it works — no coding knowledge required.**
>
> Just point me at a project:
> - **A local folder** — e.g., "turn ./my-project into a course"
> - **A GitHub link** — e.g., "make a course from https://github.com/user/repo"
> - **The current project** — if you're already in a codebase, just say "turn this into a course"
>
> I'll read through the code, figure out how everything fits together, and generate a beautiful single-page HTML course with animated diagrams, plain-English code explanations, and interactive quizzes. The whole thing runs in your browser — no setup needed.

If the user provides a GitHub link, clone the repo first (`git clone <url> /tmp/<repo-name>`) before starting the analysis. If they say "this codebase" or similar, use the current working directory.

## Who This Is For

The target learner is a **"vibe coder"** — someone who builds software by instructing AI coding tools in natural language, without a traditional CS education. They may have built this project themselves (without looking at the code), or they may have found an interesting open-source project on GitHub and want to understand how it's built. Either way, they don't yet understand what's happening under the hood.

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