What problem does it solve? AI-generated summaries and research notes often pile up terms and bullet points, leaving readers with isolated facts they cannot connect or retell. This Skill forces explanations to follow one logical chain so a non-expert can genuinely understand the topic. ## Core Features & Use Cases - Logic-chain structure: Organizes explanations as problem → why naive approaches fail → real mechanism → new difficulty → resolution, instead of flat bullet lists. - Scaffolding removal: Analogies, difficulty callouts, and self-checks stay internal; the delivered text reads as a fluent article with no visible labels like "Feynman analogy" or "Point 1". - Style constraints: Plain language, term translation on first use, fresh everyday analogies per section, honesty about unknowns, and tables or diagrams where they clarify. - Use Case: Ask it to explain how a source code mechanism, paper, or product logic works, and receive a connected walkthrough a newcomer could retell in their own words. ## Quick Start Ask the assistant to use the feynman-explainer skill to explain how a specific technical mechanism works so a beginner can truly understand it.
