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 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 workspace files: Maintains MISSION.md (your learning goal), RESOURCES.md (curated high-trust sources), GLOSSARY.md (compressed terminology), and sequential learning records that capture demonstrated understanding and misconceptions. - HTML lessons and references: Produces short, self-contained HTML lessons in ./lessons/ plus printable reference documents, built from reusable components in ./assets/ for a consistent course look. - 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 evidence-based resources, then generates interactive quiz-based lessons and a glossary, recording each milestone so future sessions build on what you actually mastered. ## Quick Start Ask the agent to teach you a topic, for example: teach me the fundamentals of strength training in this workspace.
