What problem does it solve? Learning a new topic with an AI assistant is usually stateless — every session starts from zero, with no memory of what you already know or why you are learning. This Skill turns a directory into a persistent teaching workspace that tracks your mission, knowledge, and progress across sessions. ## Core Features & Use Cases - Stateful workspace files: Maintains MISSION.md, RESOURCES.md, GLOSSARY.md, NOTES.md, and sequentially numbered learning records to capture what you know and why. - HTML lessons and references: Produces self-contained, printable HTML lessons in ./lessons/ and quick-reference documents in ./reference/, each tied to your mission and zone of proximal development. - Evidence-based pedagogy: Applies retrieval practice, spacing, and interleaving to build long-term retention, and grounds content in curated high-trust resources rather than parametric guesses. - Use Case: You want to learn strength training over several weeks. The Skill interviews you to define a mission, curates trusted sources, generates short interactive HTML lessons with quizzes, and records each demonstrated understanding so future sessions build on it. ## Quick Start Ask the agent to teach you a topic, for example: teach me the basics of strength training in this workspace.