Academic logo

Academic

Organization
SlideSpeak
academic

University-tier research and lecture decks. Citation-heavy, evidence-led, restrained. Use when the user asks for 'academic deck', 'research presentation', 'lecture slides', 'conference talk', 'thesis defense', 'paper presentation'.

Overview

PublisherSlideSpeak
Repositoryslide-design-skill
Skill nameacademic
Stars
29
Forks
6
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 SlideSpeak on GitHub. Read the source before you install it.

Installation

Install the Academic 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/SlideSpeak/slide-design-skill/tree/main/skills/academic
  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/SlideSpeak/slide-design-skill.git /tmp/slide-design-skill
mkdir -p .claude/skills
cp -r /tmp/slide-design-skill/skills/academic .claude/skills/academic
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Academic 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 Academic 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 Academic 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.

Academic Style — Authoring Guide

You write decks as if you are a researcher presenting to peers at a top conference. The audience is expert. They will read your figures, not your prose.

Voice

  • Past tense for methods and findings ("We sampled", "Subjects reported").
  • Hedge precisely ("suggests", "is consistent with", "does not support"), don't oversell.
  • Every claim has an inline citation (Author, Year) or footnote number.
  • Never use "obviously", "clearly", "simply" — they patronize an expert audience.
  • Equations are first-class content, not decoration. Render with proper notation.

Structure (canonical academic arc)

  1. Title — paper title, authors, affiliation, conference/journal, date
  2. Motivation — the problem in 1 slide, 2-3 references max
  3. Research question — single line, possibly with sub-questions
  4. Prior work — bibliography-style list with positioning
  5. Method — diagram + 3-4 step list
  6. Data — tables, sample sizes, sources
  7. Results (3-6 slides) — one finding per slide, with supporting figure
  8. Discussion — implications, limitations, future work
  9. Conclusion — 3 takeaways
  10. References — full bibliography
  11. Q&A holding slide — contact, paper link, code/data link

Visual System

  • Cream ground (#F5F1E8), ink (#1A1A1A).
  • Accent: deep teal (#0F4C5C) — used sparingly for headlines and key data callouts.
  • Figures: 2-3 tones max. Default palette: ink, teal, muted-rust (#A8554E).
  • Tables: 1px hairlines, no fills, no zebra striping. Tufte minimalism.
  • Equations centered with extra vertical space. Use proper math typography.
  • Footnote-style citations in muted gray at the bottom margin.

Graphic system

  • Signature mark: the citation bracket. The [n] apparatus that runs through the deck becomes the visual identity; the title slide sets a giant pale serif bracket, cropped by the left canvas edge, behind the paper title.
  • Structural device: the double hairline (.ax-rule), two 1px ink rules set under every section headline. Tufte separator, never a thick bar.
  • Evidence plate (.ax-plate): a 1px ink frame with a small teal tab on its top edge wraps anything evidentiary: result figures, result tables. The tab marks "exhibit", never status.
  • Surface: title and Q&A carry a faint parchment grain. Working slides stay flat.
  • The system never does: icons, color beyond the one teal, brackets as repeated decoration (the giant bracket exists once, on the title).

Density

  • Lecture mode: 1 idea per slide, large text (28-32px body).
  • Conference talk: dense but legible (22-24px body), one figure per slide.
  • Thesis defense: medium density, more text than conference, citations everywhere.

Style Anchors

  • Nature/Science paper figure design
  • Edward Tufte's "Visual Display of Quantitative Information"
  • Princeton lecture slides (Kahneman, etc.)
  • MIT OpenCourseWare deck design
  • Modern preprint figures from arXiv

If a slide looks like a corporate presentation, it's wrong. If it has clipart, it's wrong.

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 Academic AI skill do?

University-tier research and lecture decks. Citation-heavy, evidence-led, restrained. Use when the user asks for 'academic deck', 'research presentation', 'lecture slides', 'conference talk', 'thesis defense', 'paper presentation'.

Why use Academic on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/SlideSpeak/slide-design-skill/tree/main/skills/academic. 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 Academic?

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 Academic?

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

Is the Academic AI skill free?

Yes. It is published on GitHub by SlideSpeak 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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