What problem does it solve? Writing lesson content from memory alone leads to inaccurate definitions, missing prerequisites, and shallow coverage. This Skill structures the research phase so every lesson on the site is grounded in verified, well-sourced material before any MDX is written. ## Core Features & Use Cases - Source gathering: Uses WebSearch, WebFetch, and the paperhound skill (arXiv, OpenAlex, Semantic Scholar) to collect authoritative primary sources and cross-check claims against at least two independent references. - Research brief generation: Produces a structured brief covering audience, prerequisites, learning objectives, key concept definitions, misconceptions, analogies, worked examples, animation opportunities, and citations. - Lesson planning: Splits a topic into ordered lessons with section outlines, and assigns at least one exercise and one animation per lesson, aligned with the zero-to-expert ladder defined in TOPIC.md. - Use Case: Before writing a lesson on Bayes' theorem, run this Skill to gather papers and explainers, draft definitions and misconceptions, then hand the brief to the new-lesson skill for MDX authoring. ## Quick Start Ask the assistant to research a topic such as "research Bayes' theorem and prep a lesson outline" before running the new-lesson skill.
