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 or why you are learning. This Skill turns a directory into a persistent teaching workspace that tracks your mission, knowledge, and progress across sessions. ## Core Features & Use Cases - Stateful workspace files: Maintains MISSION.md, RESOURCES.md, GLOSSARY.md, NOTES.md, and numbered learning records to ground every session in your goals and prior knowledge. - HTML lessons and references: Produces self-contained, printable HTML lessons in ./lessons/ plus reusable reference documents and shared components in ./assets/. - Zone of proximal development: Reads your learning records to pick the next topic that challenges you just enough, using retrieval practice, spacing, and interleaving. - Use Case: You want to learn strength training over several weeks. The Skill interviews you to write a mission, curates trusted resources, generates short interactive HTML lessons with quizzes, and records each milestone so future sessions build on what you have mastered. ## Quick Start Ask the agent to teach you a topic, for example: teach me the basics of strength training in this workspace.