QingYunA/answer-me-with-html
Answer me with HTML — an agent skill that answers hard questions with a one-page HTML you can actually read. 让 AI Agent 用一页 HTML 回答复杂问题。
From the publisher
README & documentation
Source previewRead the project’s overview, installation instructions and usage examples. The original README is the source of truth.
Answer me with HTML An agent skill. Ask a hard question, get a page you can actually read instead of a wall of text.The model writes about 1/7 of the tokens it would need to hand-write the HTML. English · 简体中文 Once installed, ask questions the way you always do: The agent writes a short Markdown draft and hands it to the CLI that ships with the skill. About 50 ms later you have a page: https://github.com/user-attachments/assets/1f13b1fe-70a9-4c39-8530-b12e553e17ea 24-second demo. Watch the MP4 for the version with music. You can. Models write decent HTML now. The problem is the bill you pay in output tokens: the model has to type every line of CSS, every wrapper div and every SVG coordinate. Output tokens are also what you sit and wait for. With this skill, the model writes only the content. We asked the same questions with the same model both ways…
Read the full README ↗ · Preview checked 2026-10-03T13:09:37.654Z
Inside the original README — Document outline
- Why not just ask for HTML?
- Install
- Let your agent install it (recommended)
- Claude Code plugin
- One command
- What you ask, what you get
- Settings
- Always-on mode (optional)
- Background
- How it works
- Features
- Components
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Links from the README
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What this repository does
Answer me with HTML — an agent skill that answers hard questions with a one-page HTML you can actually read. 让 AI Agent 用一页 HTML 回答复杂问题。
Repository facts
- Owner
- QingYunA
- Primary language
- JavaScript
- Stars
- 169
- Forks
- 15
- Open issues + pull requests
- 0
- License
- MIT
- Archived
- No
- Default branch
- main
- Created
- 2026-10-02T09:57:40.000Z
- Last push
- 2026-10-03T07:59:36.000Z
Topics and intended use
Owner-supplied topics: agent-skill, ai-agent, claude-code, cli, diagram, explainer, html, llm, ste100
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Source and freshness
Source: GitHub. Metadata observed 2026-10-03T12:05:37.640Z. Daily imports are snapshots, not real-time monitoring.
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