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 a directory into a persistent teaching workspace that tracks the learner's 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 that capture what the user has demonstrably learned. - HTML lesson generation: Produces short, self-contained, numbered HTML lessons with quizzes, citations, and reusable shared components in ./assets/. - Zone of proximal development targeting: Reads learning records to pick the next lesson at the right difficulty, 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, generates interactive HTML lessons, and records each demonstrated insight so future sessions build on it. ## Quick Start Ask the assistant to teach you a topic, for example: teach me the fundamentals of strength training in this workspace.
