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 (your learning goal), RESOURCES.md (curated trusted sources), GLOSSARY.md (compressed terminology), and numbered learning records that capture demonstrated understanding and corrected misconceptions. - Self-contained HTML lessons: Generates short, beautifully typeset lessons saved to ./lessons/, each teaching one tightly-scoped skill in your zone of proximal development, with citations, quizzes, and feedback loops. - Reference documents: Produces printable HTML cheat sheets, glossaries, and syntax references in ./reference/ designed for long-term review. - Use Case: You want to learn strength training over several weeks. The Skill interviews you to define a concrete mission, curates high-trust resources, then delivers incremental interactive lessons while recording what you have mastered so future sessions never re-teach it. ## Quick Start Ask the agent to teach you a topic, for example: "Teach me the basics of Rust ownership over the next few sessions."
