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QingYunA/answer-me-with-html

  • URL: https://github.com/QingYunA/answer-me-with-html
  • Stars: 1314
  • Language: JavaScript
  • Category: AI & Agents
  • Topics: agent-skill, ai-agent, claude-code, cli, diagram, explainer, html, llm, ste100

What it does

This repository provides an agent skill that generates readable HTML pages in response to complex questions, significantly reducing the output tokens and time required compared to traditional methods of asking for HTML directly. It utilizes a command-line interface (CLI) to handle the layout and rendering of the content generated by AI models.

Why it's interesting

Unlike standard AI responses that produce lengthy blocks of text or HTML, this skill optimizes the process by focusing on content generation while offloading the formatting and layout tasks to the CLI. This results in faster and cheaper outputs, making it a practical tool for developers needing quick, structured information.

How it works

The skill operates by taking a question, generating a Markdown draft, and then using the CLI to format this draft into an HTML page. It employs a set of components (like flowcharts and timelines) to structure the information effectively. The README mentions that the agent decides when a page is warranted based on the complexity of the question. However, it does not provide detailed information on the internal architecture or the specific AI models used, leaving some uncertainty about the underlying technology.

Get started in 5 minutes

To install, run the command: npx -y skills add QingYunA/answer-me-with-html -g -y in your CLI, ensuring you have Node.js 20 or newer. After installation, you can test it by asking questions like "Explain the TCP three-way handshake" to see the generated HTML output.

Watch out for

The repository is relatively new, created in October 2026, which may imply that it is still in development and could have undiscovered bugs or limitations. Additionally, the README does not specify any security measures or concerns related to the use of the skill, so users should exercise caution when integrating it into their workflows.