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Slide Generation

Community
lingzhi227
slide-generation

Convert a completed paper into presentation slides (Beamer LaTeX) or poster. Extract key figures, tables, equations, and create a narrative flow for oral presentation. Identified gap in existing tools — designed from best practices.

Overview

Publisherlingzhi227
Repositoryagent-research-skills
Skill nameslide-generation
Stars
426
Forks
46
Bundled files
2
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.

  • 2 bundled files

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

  • Open source

    Published by lingzhi227 on GitHub. Read the source before you install it.

Installation

Install the Slide Generation 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/lingzhi227/agent-research-skills/tree/main/skills/slide-generation
  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/lingzhi227/agent-research-skills.git /tmp/agent-research-skills
mkdir -p .claude/skills
cp -r /tmp/agent-research-skills/skills/slide-generation .claude/skills/slide-generation
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Slide Generation 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 Slide Generation 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 Slide Generation 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.

Slide Generation

Convert a completed paper into presentation slides or poster.

Input

  • $0 — Paper LaTeX file (main.tex) or paper directory

References

  • Slide templates and layout patterns: ~/.claude/skills/slide-generation/references/slide-templates.md

Scripts

Extract paper elements for slides

bash
python ~/.claude/skills/slide-generation/scripts/extract_paper_elements.py --tex main.tex --output slides_skeleton.tex
python ~/.claude/skills/slide-generation/scripts/extract_paper_elements.py --tex main.tex --format json --output elements.json
python ~/.claude/skills/slide-generation/scripts/extract_paper_elements.py --tex main.tex --output slides.tex --theme metropolis

Parses .tex, extracts title/authors/sections/equations/figures/tables, generates Beamer skeleton.

Workflow

Step 1: Extract Key Content

From the paper, extract:

  1. Title, authors, affiliations
  2. Core contribution (1-3 bullet points from abstract)
  3. Key figures (all \includegraphics paths)
  4. Key tables (simplified versions)
  5. Key equations (numbered equations from Methods)
  6. Main results (best numbers from Results section)

Step 2: Design Slide Structure

Standard oral presentation flow (~15-20 slides):

Slide #ContentSource Section
1Title slideTitle/Authors
2Motivation / ProblemIntroduction
3Why existing solutions failRelated Work
4-5Our approach (high-level)Methods
6-8Technical details + equationsMethods
9Experimental setupExperiments
10-13Results (figures + tables)Results
14Ablation studyResults
15Limitations & Future workDiscussion
16ConclusionConclusion
17Thank you + Q&A—

Step 3: Generate Beamer LaTeX

latex
\documentclass[aspectratio=169]{beamer}
\usetheme{metropolis}
\title{Paper Title}
\author{Authors}
\date{Venue Year}

\begin{document}
\maketitle

\begin{frame}{Motivation}
\begin{itemize}
    \item Problem statement
    \item Why it matters
\end{itemize}
\end{frame}

% ... more frames
\end{document}

Step 4: Simplify for Presentation

  • Tables: reduce to essential rows/columns
  • Equations: show only the key insight, not full derivation
  • Figures: use largest versions, add annotations
  • Text: bullet points only, no paragraphs

Step 5: Generate Poster Layout (Optional)

For poster sessions, use a multi-column layout:

  • Column 1: Introduction + Motivation
  • Column 2: Methods + Key Equations
  • Column 3: Results + Figures
  • Column 4: Conclusions + References

Rules

  • Maximum 1 key message per slide
  • Figures should be large and readable
  • No more than 6 bullet points per slide
  • Equations should be simplified versions
  • Include slide numbers
  • Use consistent color scheme matching the paper's figures
  • Presentation should be self-contained (understandable without reading the paper)

Related Skills

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 Slide Generation AI skill do?

Convert a completed paper into presentation slides (Beamer LaTeX) or poster. Extract key figures, tables, equations, and create a narrative flow for oral presentation. Identified gap in existing tools — designed from best practices.

Why use Slide Generation on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/lingzhi227/agent-research-skills/tree/main/skills/slide-generation. 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 Slide Generation?

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 Slide Generation?

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

Is the Slide Generation AI skill free?

It is published on GitHub by lingzhi227. Check the repository for licensing terms. 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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