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 progress. This Skill turns the current directory into a persistent teaching workspace that tracks your mission, learning history, glossary, and resources across sessions. ## Core Features & Use Cases - Stateful Learning Workspace: Maintains MISSION.md, RESOURCES.md, GLOSSARY.md, NOTES.md, and numbered learning records to calculate your zone of proximal development before each lesson. - Self-Contained HTML Lessons: Generates short, beautifully typeset lessons saved to ./lessons/ with quizzes, interactive feedback loops, citations to trusted sources, and links to reusable reference documents. - Reusable Component Library: Builds shared assets (stylesheets, quiz widgets, simulators) in ./assets/ so lessons form one consistent course rather than one-off files. - Use Case: You want to learn strength training over several weeks. The Skill interviews you to write a mission, curates high-trust resources, then produces incremental lessons with retrieval practice, recording each demonstrated understanding as a learning record. ## Quick Start Ask the agent to teach you a topic, for example: teach me the basics of Rust ownership in this workspace.