What problem does it solve? Dense research papers and technical concepts are hard to communicate to non-specialists, students, or collaborators outside your field. This Skill turns jargon-heavy material into clear, accurate plain-English explanations without distorting what the work actually shows. ## Core Features & Use Cases - Paper-grounded explanations: Reads a named paper, arXiv ID, DOI, or URL with the runtime's source reader before explaining, so the summary reflects the actual content. - Structured output format: Organizes every explanation into One-Sentence Summary, Big Idea, How It Works, Why It Matters, What To Be Skeptical Of, and If You Remember 3 Things. - Topic anchoring: When only a topic is given, grounds the explanation on the 1-3 clearest representative papers. - Use Case: A graduate student pastes an arXiv link to a machine learning paper outside their subfield and asks "ELI5 this" to get a jargon-free explanation with one strong analogy and clearly separated facts versus speculation. ## Quick Start Ask the assistant to ELI5 a specific paper by pasting its arXiv ID, DOI, or URL and requesting a plain-English explanation.
