What problem does it solve? Learning a new technical or non-technical topic with an AI often produces shallow, unstructured explanations that are hard to revisit. This Skill turns the AI into a structured tutor that plans a multi-stage curriculum, teaches in verified batches, and leaves behind a complete set of reusable Markdown learning materials. ## Core Features & Use Cases - Dual delivery modes: Full course mode (multi-stage outline, batched lessons of 3-5 knowledge points) for big topics, and quick-overview mode for single concepts. - Five-act narrative teaching: Every lesson follows scene introduction, cognitive conflict, layered revelation, hands-on verification, and system wrap-up, with analogies, Mermaid/SVG diagrams, and terminology anchoring. - Quality gates and review: Pre-writing official documentation checks, post-writing fact-checking, teaching-effectiveness rehearsal of the outline, and dual-perspective (pedagogy + learner) review before delivery. - Complete learning artifacts: Capstone project, troubleshooting handbook, scenario solution library, source-code walkthroughs, resume-from-breakpoint learning archives, and optional quizzes. - Use Case: Ask the AI to teach you Kubernetes from zero; it produces a staged course with lessons, SVG diagrams, hands-on exercises, a final project, and a troubleshooting manual saved as Markdown files you can keep and resume anytime. ## Quick Start Ask the AI to teach you a topic, for example: teach me Kubernetes from scratch using the topic-teach skill.