What problem does it solve? Learning a new topic with an AI assistant is usually stateless and unstructured, so progress is lost between sessions and lessons are not grounded in real goals. 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 Teaching Workspace: Maintains MISSION.md, RESOURCES.md, GLOSSARY.md, learning records, and NOTES.md so every session builds on prior understanding. - HTML Lessons and References: Generates self-contained, printable HTML lessons and reusable reference documents (cheat sheets, glossaries, algorithms) stored in ./lessons/ and ./reference/. - Evidence-Based Pedagogy: Applies zone of proximal development, retrieval practice, spacing, and interleaving, and records demonstrated understanding as numbered learning records. - Use Case: You want to learn strength training over several weeks. The Skill interviews you to define a mission, curates trusted resources, produces short interactive HTML lessons with quizzes, and logs what you have mastered so each new session starts at the right difficulty. ## Quick Start Ask the agent to teach you a topic, for example: teach me the fundamentals of strength training in this workspace.
