What problem does it solve? Learning a new topic with an AI assistant is usually stateless: every session starts from zero, prior knowledge gets re-taught, and there is no record of what was actually learned. This Skill turns a directory into a persistent teaching workspace that tracks the learner's mission, resources, glossary, and progress across sessions. ## Core Features & Use Cases - Stateful teaching workspace: Maintains MISSION.md, RESOURCES.md, GLOSSARY.md, NOTES.md, and numbered learning records so every session builds on the last. - HTML lesson generation: Produces short, self-contained, beautifully typeset lessons in ./lessons/ with quizzes, citations, and links to reusable reference documents and shared assets. - Zone of proximal development targeting: Reads learning records to pick the next concept that challenges the learner just enough, using retrieval practice, spacing, and interleaving for long-term retention. - Use Case: A user wants to learn strength training over several weeks. The Skill interviews them to write a mission, curates trusted resources, then generates one focused interactive lesson per session while logging demonstrated understanding in learning records. ## Quick Start Ask the assistant to teach you a topic, for example: teach me the fundamentals of strength training in this workspace.
