What problem does it solve? Learning a new topic with an AI assistant is usually stateless — every session starts from zero, with no memory of what you already know, why you are learning, or what to tackle next. This Skill turns a directory into a persistent teaching workspace that tracks your mission, knowledge, and progress across sessions. ## Core Features & Use Cases - Stateful Learning Workspace: Maintains MISSION.md, RESOURCES.md, GLOSSARY.md, NOTES.md, and numbered learning records so every session builds on prior understanding. - HTML Lesson Generation: Produces short, self-contained, beautifully typeset lessons in ./lessons/ with quizzes, feedback loops, citations, and links to reference documents. - Zone of Proximal Development Targeting: Reads learning records to pick the next concept that challenges you just enough, applying retrieval practice, spacing, and interleaving for long-term retention. - Use Case: You want to learn strength training over several weeks. The Skill interviews you to define a concrete mission, curates trusted resources, generates interactive HTML lessons, and records each insight so future sessions never re-teach what you already know. ## Quick Start Ask the assistant to teach you a topic, for example: teach me the fundamentals of strength training in this workspace.
