What problem does it solve? Learning a new skill or concept with an AI assistant is usually stateless and unstructured—each session starts from zero, with no memory of what you already know or why you are learning. This Skill turns the current directory into a persistent teaching workspace that tracks your mission, knowledge, and progress across sessions. ## Core Features & Use Cases - Stateful Learning Workspace: Maintains MISSION.md, RESOURCES.md, GLOSSARY.md, and numbered learning records to track goals, trusted sources, and demonstrated understanding over time. - Interactive HTML Lessons: Generates short, self-contained lessons in ./lessons/ with quizzes, feedback loops, and citations, designed around retrieval practice, spacing, and the zone of proximal development. - Reusable Components & References: Builds a shared ./assets/ component library and printable reference documents (cheat sheets, glossaries, algorithms) for quick review. - Use Case: Ask the agent to teach you strength training; it interviews you about your goal, curates trusted resources, then produces a sequence of interactive lessons that adapt as learning records accumulate. ## Quick Start Run the teach skill and tell the agent what you would like to learn so it can set up a teaching workspace in the current directory.