Verified project record
QingYunA/answer-me-with-html
answer-me-with-html is an agent skill where the agent writes a short Markdown draft and a bundled Node CLI computes page layout, diagrams and styling into a single offline HTML page. It also supports requested narrated explainer-player pages and video exports, with source-preserving interactive replies.
Project overview
It addresses a concrete agent-output problem — walls of text versus hand-written HTML requiring the model to generate markup, CSS and diagram coordinates — by having code compute layout and diagrams from a Markdown draft, producing a standalone HTML file with no CDN links or web fonts.
- Project type
- Workflow
- Use cases
- Documents & Office
- Deployment
- Refer to project documentation
- License
- MIT
Best for
- Developers who want agents to produce structured, diagram-rich explanations without the model hand-writing HTML, CSS or diagram coordinates.
- Users who need offline, single-file HTML output with embedded source Markdown and localized UI for Chinese, English or Japanese.
Key capabilities
- The bundled CLI converts an agent Markdown draft into a readable page with text, diagrams, tables and code. Layout and diagram coordinates are computed by code; no universal clipping or speed guarantee is asserted.
- flow, er, sequence, tree, timeline, limits, annot, kv, callout and ask components cover architecture, data models, exchanges, hierarchies, events, annotations and decisions; code and comparison tables are supported.
- The generated page is one HTML file with no CDN links or web fonts and embeds its source Markdown; Copy source retrieves that draft. This output boundary does not establish the surrounding agent's model-provider privacy.
- blueprint, shadcn and paper themes have light/dark modes. Chinese Simplified/Traditional, English and Japanese have localized buttons and fonts; other languages use English buttons.
- The CLI reports the draft error line, component and a correction example for agent repair. The README's one-try repair statement is not an independent model success guarantee.
- Machine-checkable adapted ASD-STE100 rules inspect sentence length, words, passive voice and selected Chinese errors. Default mode warns; strict style can refuse failing drafts.
- src/lines code blocks quote real file lines; the README states outside-folder and key-file refusal. Scope is renderer file selection, not a complete secret-leakage audit.
- Panel comments and ask options are combined by Reply into a message to paste back to the agent; options can begin with the agent suggestion already selected.
Limitations and risks
- Eightfold fewer output tokens, 2.6x faster and about 15% bill reduction are project-reported small-test results with a specified corpus, model and setup — not universal workload or billing guarantees.
- Node 20+ is explicit; model/provider details, supported OS, GPU and hardware/cost/telemetry details are unspecified. MP4 export needs ffmpeg, whereas browser/WebM routes do not.
- Always-on pages accumulate under the local output directory; copied code/content and embedded source should be reviewed before sharing. Update checking and installer downloads are network routes, while rendered HTML and embedded-voice players open offline; agent/model configuration is separate and unspecified here.
Getting started
- Prepare Node.js 20 or newer; install the skill into the chosen agent with npx skills add QingYunA/answer-me-with-html or the documented plugin/manual route; ask for an HTML explanation and inspect the generated page in the local pages directory.
Evidence and sources
- README: <p align="center"> <img src="docs/logo.svg" width="64" height="64" alt="Answer me with HTML logo"> </p> <h1 align="center">Answer me with HTML</h1> <p align="center"> <b>Super Fas…
- README: <a href="https://github.com/QingYunA/answer-me-with-html/stargazers"><img src="https://img.shields.io/github/stars/QingYunA/answer-me-with-html?style=flat-square&logo=github&label…
- README: > Explain the TCP three-way handshake > Map out how the modules in this repo fit together > Redis or Memcached for our cache? ``` The agent writes a short Markdown draft and hands…
- README: You can. Models write decent HTML now. But most of what they write is not content. We counted the tokens in 9 pages the model wrote by hand, 4,893 tokens on average: | Part of the…
- README: <p align="center"><sub>The same question, the same model, answered both ways. Both pages are usable.</sub></p> The token counts are saved in [bench/corpus/tokens.json](bench/corpu…
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