What problem does it solve? Learning a new topic with an AI assistant is usually stateless — every session starts from zero, lessons are not grounded in your actual goals, and nothing tracks what you already know. This Skill turns the current directory into a persistent teaching workspace that remembers your mission, your progress, and your preferred resources across sessions. ## Core Features & Use Cases - Stateful workspace files: Maintains MISSION.md (why you are learning), RESOURCES.md (trusted sources), GLOSSARY.md (compressed terminology), and sequentially numbered learning records that capture demonstrated understanding and corrected misconceptions. - HTML lessons and references: Produces short, beautifully typeset, self-contained HTML lessons in ./lessons/ plus printable quick-reference documents in ./reference/, built from reusable components in ./assets/. - Zone of proximal development targeting: Reads your learning records to pick the next lesson that challenges you just enough, using retrieval practice, spacing, and interleaving for long-term retention. - Use Case: You want to learn strength training over several weeks. The Skill interviews you to write a mission, curates high-trust resources, then generates interactive quiz-based HTML lessons and a glossary, recording each milestone so future sessions never re-teach what you already know. ## Quick Start Ask the agent to teach you a topic, for example: teach me the fundamentals of Rust ownership in this workspace.
