ai-tutor

Explain AI/ML concepts in plain English using structured narrative frameworks.

80|46|Updated Dec 17, 2025
One-click install
npx skills add https://github.com/ShawhinT/ai-tutor-skill --skill ai-tutor
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ai-tutor
Source: https://github.com/ShawhinT/ai-tutor-skill/tree/main
Command: npx skills add https://github.com/ShawhinT/ai-tutor-skill --skill ai-tutor

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires youtube-transcript-api, and includes scripts (resource) components.

What problem does it solve?

This skill helps users understand AI and ML concepts by delivering concise, plain-English explanations organized with clear narrative structures, reducing confusion and speeding learning.

Core Features & Use Cases

  • Narrative structures: Status Quo → Problem → Solution, What → Why → How, and What → So What → What Now to tailor explanations.
  • Audience-aware teaching: assesses the user's level and selects the most effective approach, with concrete examples and step-by-step reasoning.
  • Research integration: loads research_methodology.md for unfamiliar topics and can fetch transcripts from provided YouTube videos to enrich explanations.

Quick Start

Explain a concept in plain English by selecting the best narrative structure and, if you provide a video URL, load its transcript.

Frequently Asked Questions about ai-tutor

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I explain machine learning concepts in plain English?

To explain machine learning concepts in plain English, this skill uses structured narrative frameworks like Status Quo → Problem → Solution, adapting explanations to the audience with concrete examples and step-by-step reasoning.

Can I use a YouTube video to help explain AI topics?

Yes, you can use a YouTube video to explain AI topics by providing the video URL; the skill fetches the transcript using its built-in script and incorporates the content to enrich the explanation.

What narrative structures work best for breaking down complex technical topics?

Effective narrative structures for breaking down complex technical topics include What → Why → How and What → So What → What Now, allowing the skill to tailor explanations to different audience levels.

Do I need any specific technical background to understand these AI explanations?

No specific technical background is needed because the skill assesses the user's level and selects the most effective approach, delivering concise explanations with concrete examples to reduce confusion.

How does this skill handle explaining unfamiliar AI or ML topics?

To explain unfamiliar AI or ML topics, the skill consults its built-in research methodology file to gather necessary context before generating a structured, plain-English explanation.