teach

What problem does it solve? Learning a new topic with an AI is usually stateless and unstructured — each session starts from zero, lessons are not grounded in your goals, and nothing tracks what you already know. This Skill turns a directory into a persistent teaching workspace that remembers your mission, your progress, and your trusted resources across sessions. ## Core Features & Use Cases - Stateful Learning Workspace: Maintains MISSION.md, RESOURCES.md, GLOSSARY.md, NOTES.md, and numbered learning records to track goals, prior knowledge, and corrected misconceptions over multiple sessions. - HTML Lesson Generation: Produces short, self-contained, beautifully typeset lessons in ./lessons/ with quizzes, interactive feedback loops, citations, and links to reference documents, built from reusable components in ./assets/. - Zone of Proximal Development Targeting: Reads learning records to pick the next lesson that challenges you just enough, applying retrieval practice, spacing, and interleaving for long-term retention. - Use Case: You want to learn strength training. The Skill interviews you to write a mission ("run a half marathon by October"), curates trusted sources, then generates a sequence of interactive HTML lessons with a glossary and reference sheets you can revisit. ## Quick Start Ask the agent to teach you a topic, for example: "Teach me the basics of Rust ownership in this workspace."