What problem does it solve? Learning a new topic with an AI assistant is usually stateless and unstructured — each session starts from zero, lessons are not grounded in the learner's actual goal, and there is no record of what has already been mastered. 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 learning workspace: Maintains MISSION.md, RESOURCES.md, GLOSSARY.md, NOTES.md, and numbered learning records so every session builds on prior understanding and targets the zone of proximal development. - Self-contained HTML lessons: Produces short, beautifully typeset, numbered lessons in ./lessons/ with quizzes, citations to trusted sources, and reusable shared components in ./assets/. - Evidence-based pedagogy: Applies retrieval practice, spacing, and interleaving to build long-term retention, and directs learners to high-trust communities for real-world wisdom. - Use Case: A user wants to learn strength training. The Skill interviews them to write a mission, curates trusted resources, then generates a sequence of interactive HTML lessons with quizzes, recording each demonstrated insight as a learning record. ## Quick Start Ask the agent to teach you a topic, for example: teach me the fundamentals of strength training in this workspace.