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Sci Html

Community
ShZhao27208
sci-html

Generate academic presentation-style HTML slide decks and browser reports from PDFs, structured text, Markdown, paper summaries, outlines, or research notes. Use whenever the user wants to convert a scientific paper PDF directly into an interactive HTML report, clickable web presentation, shareable browser deck, or PPT-like HTML output with figures, structured insights, section pages, and offline deck-directory output. In the Aut_Sci_Write suite, choose this skill when the user wants HTML/web output; choose sci-ppt when they explicitly need a .pptx file.

Overview

PublisherShZhao27208
RepositoryAut_Sci_Write
Skill namesci-html
Stars
211
Forks
28
Bundled files
27
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.

  • 27 bundled files

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

  • Open source

    Published by ShZhao27208 on GitHub. Read the source before you install it.

Installation

Install the Sci 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/ShZhao27208/Aut_Sci_Write/tree/main/skills/sci-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/ShZhao27208/Aut_Sci_Write.git /tmp/Aut_Sci_Write
mkdir -p .claude/skills
cp -r /tmp/Aut_Sci_Write/skills/sci-html .claude/skills/sci-html
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Sci 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 Sci 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 Sci 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.

Sci HTML

Use this skill to create browser-based academic slide decks inside the Aut_Sci_Write suite. It can work from prepared Markdown/JSON, or run the full paper workflow from PDF to structured insights, extracted figures, and HTML deck.

Use sci-html for shareable browser output. Use sci-ppt when the user needs a real .pptx. Use sci-extract when the user only wants a text analysis without a presentation artifact.

When To Use

Use this skill when the user asks for HTML slides, clickable presentation webpages, browser-based academic presentations, Markdown to slide deck, paper summary to web presentation, PDF paper to HTML report, or a PPT-like HTML file with left/right navigation.

Output

Always create a deck directory containing index.html, deck.json, assets/style.css, assets/deck.js, and copied local figures under assets/figures/.

Do not create single-file HTML. Directory output is the standard mode because it keeps the presentation maintainable and avoids oversized embedded assets.

Workflow

  1. Parse the user's source content into a deck model.
  2. Add cover, table of contents, section, summary, and ending slides when appropriate.
  3. Validate image paths and slide structure.
  4. Render HTML, CSS, and JS.
  5. Tell the user the output path and navigation controls.

PDF Paper Workflow

For a source PDF, use the integrated paper command rather than requiring separate sci-extract or sci-figure skills:

bash
python scripts/generate_html_deck.py paper paper.pdf -o out/paper-report --author "Presenter"

When working from the Aut_Sci_Write repository root, run:

bash
python skills/sci-html/scripts/generate_html_deck.py paper paper.pdf -o skills/sci-html/out/paper-report --author "Presenter"

This writes structured_insights.json, figure_manifest.json, extracted files under figures/, a generated {paper-stem}-deck.md, and the final index.html.

The PDF workflow uses bundled integrations copied from sci-extract and sci-figure. It requires PyMuPDF, pdfplumber, numpy, opencv-python, Pillow, and pytesseract; Tesseract OCR is optional and only affects subfigure OCR.

The integrated sci-extract logic detects original research versus review literature. Original research decks emphasize problem, method, results, innovation, applications, and limits. Review, survey, systematic review, scoping review, and meta-analysis decks emphasize scope, taxonomy, evidence base, consensus, controversies, evidence quality, research gaps, future directions, and important figures or tables. Use --paper-type auto|research|review when the user wants to override automatic routing.

Presentation Markup

  • Put layout: section at the top of a Markdown slide block to create a chapter divider.
  • Put subtitle: 01 below layout: section to show the chapter number.
  • Use **key phrase** or ==key phrase== for red emphasis.
  • Keep bullets concise; generated bullet slides use numbered key-point cards by default.
  • When a slide has only one or two content bullets, render it as plain statements without visible item numbers.
  • Long slide and paper titles are automatically fitted by shrinking the heading and expanding its line width so the title stays on the page.
  • Sparse slides automatically receive subtle topic motifs from title and bullet keywords, so visually empty areas are filled without requiring extra image assets.

Navigation Controls

Generated decks support mouse click, left-third click for previous slide, explicit Prev/Next buttons, left/right arrow keys, space, Home/End, F fullscreen, and URL hash state such as #/3.

Design Rules

Keep slides academic, readable, and presentation-oriented. Avoid long paragraphs. Prefer figures, concise numbered points, section breaks, and strong hierarchy. Use decorative but unobtrusive visual patterns to reduce empty space. Keep section and ending slides centered. Escape user-provided HTML by default. Do not write API keys or .env values into generated decks.

Aut_Sci_Write Integration

  • sci-html is one of the suite's output skills alongside sci-ppt.
  • The paper workflow locally reuses Aut_Sci_Write extraction and figure-processing logic, so users do not need to manually chain sci-extract and sci-figure before generating a deck.
  • Keep generated decks under out/ or another user-selected output folder. These outputs are intentionally ignored by the repository/package rules.
  • Do not create or require skill-local .env files for this skill; it runs offline except for optional dependencies installed by the user.

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 Sci Html AI skill do?

Generate academic presentation-style HTML slide decks and browser reports from PDFs, structured text, Markdown, paper summaries, outlines, or research notes. Use whenever the user wants to convert a scientific paper PDF directly into an interactive HTML report, clickable web presentation, shareable browser deck, or PPT-like HTML output with figures, structured insights, section pages, and offline deck-directory output. In the Aut_Sci_Write suite, choose this skill when the user wants HTML/web output; choose sci-ppt when they explicitly need a .pptx file.

Why use Sci Html on TypingMind?

Because you install it once and use it with any model. Sci 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 Sci Html in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ShZhao27208/Aut_Sci_Write/tree/main/skills/sci-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 Sci 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 Sci Html?

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

Is the Sci Html AI skill free?

Yes. It is published on GitHub by ShZhao27208 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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