What problem does it solve? Learning a new topic with an AI assistant is usually stateless: every session starts from zero, lessons are not saved, and there is no record of what you already know. This Skill turns the current directory into a persistent teaching workspace that tracks your mission, progress, and resources across sessions. ## Core Features & Use Cases - Stateful Learning Workspace: Maintains MISSION.md, RESOURCES.md, GLOSSARY.md, NOTES.md, and numbered learning records so each session builds on prior understanding. - HTML Lessons and References: Generates self-contained, printable HTML lessons in ./lessons/ plus reusable reference documents and shared components in ./assets/. - Evidence-Based Teaching: Applies zone of proximal development, retrieval practice, spacing, and interleaving, and grounds content in curated high-trust resources rather than parametric knowledge. - Use Case: You want to learn strength training over several weeks. The Skill interviews you to define a mission, curates trusted sources, produces short interactive HTML lessons with quizzes, and records each demonstrated understanding so the next lesson targets the right difficulty. ## Quick Start Ask the agent to teach you a topic, for example: teach me the fundamentals of Rust ownership in this workspace.
