Answer me with HTML is an agent skill that generates readable single-page HTML documents in response to complex questions posed to AI agents.
The tool addresses the inefficiency of asking language models to write complete HTML by hand. When models generate HTML directly, they spend most tokens on structural elements like SVG coordinates, CSS, and HTML tags rather than content. This skill separates concerns: the model writes only a concise Markdown draft containing the substantive answer, while a command-line interface handles all formatting, diagram generation, and page layout. The result is a self-contained HTML file that can be read offline and requires the model to generate roughly one-eighth the tokens needed for hand-written HTML, reducing both token consumption and response time.
The tool works with multiple AI platforms including Claude Code, Codex, Cursor, and others. It suits developers and users who need clear, visual explanations of complex topics and want faster responses from their AI agents. The skill emphasizes readability over raw text output, using diagrams and structured layouts to make information more digestible. Installation is straightforward, and the tool can run in always-on mode for continuous availability.
Development shows consistent activity with regular releases and active maintenance. The project maintains clear documentation including reference materials and explainer videos. The codebase is written in JavaScript and remains focused on its core mission of token-efficient HTML generation rather than expanding into unrelated features.
