What problem does it solve? Learning a new topic over multiple sessions loses continuity: prior knowledge gets re-taught, progress is untracked, and materials are scattered. This Skill turns a directory into a persistent teaching workspace that tracks what the user knows and builds each lesson on the last. ## Core Features & Use Cases - Stateful workspace files: Maintains MISSION.md (learning goal), RESOURCES.md (curated trusted sources), GLOSSARY.md (compressed terminology), and sequentially numbered learning records that capture demonstrated understanding and misconceptions. - HTML lesson generation: Produces short, self-contained, beautifully typeset lessons in ./lessons/ with quizzes, feedback loops, citations, and links to reusable components in ./assets/. - Zone of proximal development targeting: Reads learning records to pick the next lesson that challenges the user just enough, applying retrieval practice, spacing, and interleaving for long-term retention. - Use Case: A user wants to learn strength training. The Skill interviews them to write a mission, curates evidence-based resources, then generates a sequence of interactive HTML lessons on progressive overload while logging what they have mastered. ## Quick Start Ask the agent to teach you a topic, for example: teach me the basics of strength training in this workspace.