What problem does it solve? Long research findings delivered as plain markdown walls are hard to read and fail to communicate flows, architectures, and comparisons visually. This Skill turns completed research into a single styled HTML page with hand-written SVG diagrams, comparison tables, and optional bilingual content. ## Core Features & Use Cases - Self-contained HTML output: Produces one .html file with all CSS/JS inlined, zero network dependencies, dark-mode support, and offline rendering from disk. - Visual-first structure: Maps findings to the right form — inline SVG diagrams for flows and architectures, tables for comparisons, timelines for sequences — with labeled arrows and sourced claims. - Bilingual EN/JA pages: Ships a drop-in language switcher (assets/lang-switch.html) with paired lang markup, persisted preference, an "s" keyboard shortcut, and scroll anchoring to prevent layout drift. - Use Case: After finishing a deep-research task on a new protocol, render the findings as a living HTML reference page at ~/dotfiles/.ai/research/ that you extend in later sessions instead of minting new files. ## Quick Start Render the research findings from our conversation as a self-contained HTML report page with an architecture diagram and comparison tables.
