Is my learning progress saved across different projects?

Yes. All tutorials, your learner profile, and quiz scores are stored in a central directory (~/coding-tutor-tutorials/) that persists regardless of which project you are currently working on.

How are the understanding scores calculated?

Scores (1-10) are updated through Quiz Mode based on your ability to explain mental models, read code, and solve debugging challenges related to a specific tutorial topic.

What is the benefit of the Spaced Repetition quiz mode?

It uses a Fibonacci-based interval system to re-test you on concepts right as you are likely to forget them. This ensures that knowledge moves from short-term memory into long-term mastery.

How does Coding Tutor use my codebase for teaching?

The skill scans your local repository to find relevant implementation examples of the concept you are learning, referencing your actual file paths and logic instead of using abstract or generic snippets.

Can I request specific topics to learn?

Absolutely. You can use the /teach-me command for a specific concept, or ask for an open-ended suggestion where the tutor will identify the most valuable 'next step' for your current level.

Coding Tutor

Name: Coding Tutor
Author: EveryInc

byEveryInc

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3,905

Learning & Documentation

Transforms Claude into a personalized programming mentor that uses your actual codebase to teach senior-level engineering concepts through spaced repetition and interactive quizzes.

About

Coding Tutor is a sophisticated educational framework for Claude Code designed to guide developers from foundational knowledge to senior-level engineering mastery. Unlike generic tutorials, this skill analyzes your specific codebase to create 'anchored' lessons where every concept is demonstrated using your own project's files and logic. It maintains a persistent learner profile and a centralized tutorial library that follows you across different projects, employing a Fibonacci-based spaced repetition system to ensure you never forget what you've learned. By focusing on mental models, storytelling, and deep architectural 'whys'—inspired by elite educators—it provides a private tutoring experience that evolves with your career.

Key Features

Codebase-Aware Instruction: Generates tutorials using real examples from your current repository for maximum relevance.
Persistent Learner Profile: Maintains a central record of your background, goals, and mastered topics across all projects.
Spaced Repetition Quizzing: Uses a specialized algorithm to surface concepts for review based on your previous retention scores.
3,905 GitHub stars
Curriculum Planning: Proposes structured 3-part learning paths tailored to your specific growth areas and career ambitions.
Living Documentation: Automatically updates tutorials with your Q&A sessions to create a personalized knowledge base.

Use Cases

Mastering new languages or frameworks while building a production app by using the app itself as the textbook.
Systematically bridging the gap between junior and senior-level engineering through deep-dive mental model building.
Onboarding to a complex or unfamiliar codebase by learning its specific patterns and architecture interactively.

About

Key Features

Codebase-Aware Instruction: Generates tutorials using real examples from your current repository for maximum relevance.
Persistent Learner Profile: Maintains a central record of your background, goals, and mastered topics across all projects.
Spaced Repetition Quizzing: Uses a specialized algorithm to surface concepts for review based on your previous retention scores.
3,905 GitHub stars
Curriculum Planning: Proposes structured 3-part learning paths tailored to your specific growth areas and career ambitions.
Living Documentation: Automatically updates tutorials with your Q&A sessions to create a personalized knowledge base.

Use Cases

Mastering new languages or frameworks while building a production app by using the app itself as the textbook.
Systematically bridging the gap between junior and senior-level engineering through deep-dive mental model building.
Onboarding to a complex or unfamiliar codebase by learning its specific patterns and architecture interactively.