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Article To Html

Organization
agentara
article-to-html

Render a markdown draft / any document in the conversation context into a single-file "paper proposal" HTML — serif body, monospace meta, numbered sections, inline SVG figures, callouts, tables, optional interactive elements. Trigger when the user says "turn this into HTML / render as a web page / make a pretty HTML / give me a single-page doc / generate article HTML / paper-style HTML / convert to article html / render this as a doc html" or similar, and wants a **static single file** rather than Figma/PDF/PPT. Also fires when the user pastes some markdown and says "beautify this / typeset this / give me a web version". Do NOT trigger when the user wants slides, needs a backend, or needs a multi-page site.

Overview

Publisheragentara
Repositoryskills
Skill namearticle-to-html
Stars
605
Forks
43
Bundled files
5
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 5 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by agentara on GitHub. Read the source before you install it.

Installation

Install the Article To Html AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/agentara/skills/tree/main/skills/productivity/article-to-html
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/agentara/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/productivity/article-to-html .claude/skills/article-to-html
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Article To Html in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Article To Html on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Article To Html is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

article-to-html

Turn a document (from conversation context or a given markdown file) into a self-contained HTML file, reusing the "paper proposal" design system defined in references/template.html: serif body + monospace meta + numbered sections + inline SVG figures + callouts + tables + optional JS interactivity.

Flow after trigger

  1. Get the source. If the user gave a file path, Read it. If the draft is in conversation context, use that directly.
  2. Extract document skeleton. Title, subtitle, TL;DR, section list, whether figures are needed, whether tables are needed, whether interactivity is needed.
  3. Read the template. Read references/template.html and use its full CSS + structure as the scaffold.
  4. Read the component reference. Read references/components.md and pick out the snippets you need this round.
  5. If figures are needed: consult references/svg-figures.md and draw with inline SVG (no external image references — keep the file portable).
  6. If interactivity is needed: consult references/interactive.md and append a <script> block before </body>.
  7. Output. Write to {same dir as source or current working dir}/{slug}.html. Filename = English slug of the title, or whatever the user specified.
  8. Report. One sentence with the file path + a one-line command to open it in a browser.

Design invariants (do NOT break)

  • Single file. All CSS / SVG / JS inline. No external fonts, no CDNs, no remote images.
  • Don't change the paper palette. --paper: #f7f7f5 + --ink: #1a1a1a is this skill's visual signature. If the user explicitly asks for a different mood (dark mode, different accent), you can change --accent / --warn, but keep paper/ink.
  • Serif body + monospace meta. body uses ui-serif; every "metadata slot" (.doc-eyebrow / .doc-meta / th / code / figcaption / .num) uses ui-monospace. This mix is the signature.
  • Section numbering prefix. <h2><span class="num">01</span>Section title</h2> — small monospace, faint gray, 14px gap to the title. Add it even if the source has no numbers.
  • Figures need figcaption. <figcaption><span class="fig-num">FIG 1</span>caption text</figcaption>, the FIG N in accent color.
  • TL;DR always on top. If the source has no TL;DR, condense the first one or two paragraphs into a ~60-word summary and put it there.
  • No "generated by AI" footer watermark unless the user explicitly asks.

Component cheat sheet

If the source contains...Use...
Intro / abstract.tldr block
Quotation.callout.cite (with .cite-source)
Warning / heads-up.callout.warn
Generic sidenote.callout (default, white background)
Three parallel concepts / roles.cards (three-column cards)
N parallel concepts.cards cols-2 / cols-4
Comparison / vendor matrix<table>
Flow / architecture / timing / bar chartinline SVG figure — see references/svg-figures.md
Open-questions list<ol> with bold lead phrase per item
Reference links<footer> containing a <ul>

Interactive elements (optional)

The template is static by default. Add interactivity proactively when the document clearly benefits:

  • Section collapse / expand (long documents)
  • "Copy" button on code blocks
  • Table filter / sort (great for vendor comparison tables)
  • Dark mode toggle (persisted to localStorage)
  • TOC + scrollspy
  • Forms (e.g. for an RFC / decision doc, a "vote / leave comment" form persisted to localStorage)

Specific snippets in references/interactive.md. Default to none unless (a) the doc is long — ≥3 sections + ≥2 figures, or (b) the source is interaction-shaped (tutorial, decision doc, vendor selection).

Naming and output location

  • Filename: English slug of the title, lowercase, hyphenated, ≤40 chars. For Chinese titles, use pinyin or a translated keyword hint, e.g. 《新基建提案》→ infra-proposal.html.
  • Output location:
    • If the user gave a source markdown path, output in the same directory.
    • Otherwise output in the current working directory.
    • If the user specifies a path, honor it.
  • If a file with the same name exists, append -v2 / -v3. Never silently overwrite the user's existing output.

Common mistakes

  • Recoloring the CSS. Don't touch paper/ink/accent unless the user said "different palette please". Visual consistency is the entire point.
  • Switching body to sans-serif. The whole "proposal paper" feel hinges on the serif body. Changing fonts breaks the look.
  • Using emoji as icons. The character vocabulary of this skill is uppercase monospace labels + small color blocks (.mascot / .layer-icon). No emoji unless the user explicitly asks.
  • External <img src="https://...">. Kills portability. Either inline SVG, base64, or omit.
  • Missing figcaption numbers. The FIG 1 / FIG 2 / FIG 3 running labels are key to the "academic paper" feel.
  • Callout on every paragraph. Callouts highlight one or two passages, not decorate. Keep total callouts ≤ 5 per document.
  • Cramming 5 items into the three-column cards. Switch to repeat(N, 1fr) (or use the .cols-N modifier), don't force wrap.
  • Leaking domain-specific names from the example. The template is blank; if the source doesn't mention Crewlet / Anthropic / etc., the HTML shouldn't either.

File manifest

  • references/template.html — blank scaffold (full CSS + placeholder structure). Start here.
  • references/components.md — cut-and-paste HTML snippets for every component.
  • references/svg-figures.md — five typical SVG figure skeletons (architecture, timing, bar comparison, stacked layers, lifecycle).
  • references/interactive.md — JS snippets (collapse, copy, table filter/sort, TOC, dark mode, form → localStorage, reading progress, figure zoom).
  • assets/example.html — a completed reference render (the original Chinese article.html kept as a visual benchmark).

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Article To Html AI skill do?

Render a markdown draft / any document in the conversation context into a single-file "paper proposal" HTML — serif body, monospace meta, numbered sections, inline SVG figures, callouts, tables, optional interactive elements. Trigger when the user says "turn this into HTML / render as a web page / make a pretty HTML / give me a single-page doc / generate article HTML / paper-style HTML / convert to article html / render this as a doc html" or similar, and wants a **static single file** rather than Figma/PDF/PPT. Also fires when the user pastes some markdown and says "beautify this / typeset...

Why use Article To Html on TypingMind?

Because you install it once and use it with any model. Article To Html is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Article To Html in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/agentara/skills/tree/main/skills/productivity/article-to-html. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Article To Html?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Article To Html?

As many as you like. As long as a model supports skills, you can use Article To Html with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Article To Html AI skill free?

Yes. It is published on GitHub by agentara under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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