Agent skill

Making Academic Presentations

by LigphiDonk in LigphiDonk/Oh-my--paper

Create academic presentation slide decks and optionally demo videos from research papers.

MITAuto-check passedDocuments & Office

Install Making Academic Presentations

skills CLI
$ npx skills add LigphiDonk/Oh-my--paper --skill making-academic-presentations -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install LigphiDonk/Oh-my--paper making-academic-presentations --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/LigphiDonk/Oh-my--paper.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/making-academic-presentations .claude/skills/making-academic-presentations && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
making-academic-presentations
GitHub stars
738
Token cost
~2k tokens
SKILL.md length
686 words
Files
6 (incl. scripts, references)
Skills in repo
27
Repo updated
First seen
Licence
MIT

At a glance

Create academic presentation slide decks and optionally demo videos from research papers.

  • Works in 4 steps: Script / Outline → Slide Generation → TTS Audio (optional) → …
  • Tasks that involve Slides and decks
  • SKILL.md covers Canonical Summary, Trigger Rules, Resource Use Rules and Execution Contract, plus 10 more sections
  • Runs Python scripts from its folder; calls ffmpeg, brew and pip; reaches github.com; needs ELEVENLABS_API_KEY

What it does

Making Academic Presentations is an agent skill from LigphiDonk/Oh-my--paper. Create academic presentation slide decks and optionally demo videos from research papers.

Its SKILL.md is about 2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including scripts and reference files (for example `references/pptx-conversion.md`, `references/slide-generation.md` and `references/tts-engines.md`).

It sits in Documents & Office, covering Slides and decks and Video production. The repository describes itself as: A Claude Code plugin that turns your terminal into an autonomous research lab — literature survey, experiment execution, paper writing, all in one pipeline. The licence is MIT.

When your agent uses it

  • Tasks that involve Slides and decks
  • Tasks that involve Video production

Example prompts

  • “/making-academic-presentations”

Requirements

  • Python 3
  • A credential in ELEVENLABS_API_KEY

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. Script / Outline
  2. Slide Generation
  3. TTS Audio (optional)
  4. Video Assembly (optional)

What it can do on your machine

Read from SKILL.md and the folder at commit 6baece9. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 2 files in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • ffmpeg
    • brew
    • pip
    • claude
    • soffice
    • pdftoppm
    • gemini

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • github.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • ELEVENLABS_API_KEY

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Making Academic Presentations loads about 2k tokens when it runs, and up to ~4.9k if it reads all its reference files. Until then it costs about 30 tokens; SKILL.md has 686 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~30
When it runs · the whole SKILL.md, loaded when a task matches
~2k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~4.9k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from LigphiDonk/Oh-my--paper at commit 6baece9, republished under its MIT licence (© LigphiDonk). 686 words, ~2,040 tokens.

Download SKILL.mdSave it as .claude/skills/making-academic-presentations/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.
name
making-academic-presentations
description
Create academic presentation slide decks and optionally demo videos from research papers.
id
making-academic-presentations
version
1.0.0
stages
promotion
tools
read_file, search_project, write_file, run_terminal
summary
Create academic presentation slide decks and optionally demo videos from research papers. Use when the user asks to "make slides", "create a deck", "make a…
primaryIntent
writing
intents
writing
capabilities
visualization-reporting
domains
general
keywords
making-academic-presentations, promotion, visualization-reporting, making, academic, presentations, create, presentation, slide, decks, optionally, demo

making-academic-presentations

Canonical Summary

Create academic presentation slide decks and optionally demo videos from research papers. Use when the user asks to "make slides", "create a deck", "make a presentation", "demo video", "paper slides", "conference talk slides", or wants to...

Trigger Rules

Use this skill when the user request matches its research workflow scope. Prefer the bundled resources instead of recreating templates or reference material. Keep outputs traceable to project files, citations, scripts, or upstream evidence.

Resource Use Rules

  • Read from references/ only when the current task needs the extra detail.
  • Treat scripts/ as optional helpers. Run them only when their dependencies are available, keep outputs in the project workspace, and explain a manual fallback if execution is blocked.

Execution Contract

  • Resolve every relative path from this skill directory first.
  • Prefer inspection before mutation when invoking bundled scripts.
  • If a required runtime, CLI, credential, or API is unavailable, explain the blocker and continue with the best manual fallback instead of silently skipping the step.
  • Do not write generated artifacts back into the skill directory; save them inside the active project workspace.

Upstream Instructions

Making Academic Presentations

Produce slide decks (and optionally narrated demo videos) from research papers. The human drives all outline and visual decisions — the agent executes.

Pipeline

[1] Script Draft ──→ [2] Slide Generation ──→ [3] TTS Audio (optional) ──→ [4] Video Assembly (optional)
     Claude Code          nanobanana /edit     edge-tts / Kokoro / ElevenLabs       ffmpeg

Skip stages 3–4 for slide-only output. User can enter at any stage.

Stage 1: Script / Outline

Input: paper + user-provided outline or slide plan Output: video-scripts.md or slide-outline.md — per-slide content with talking points

The agent drafts scripts based on the user's outline. The user owns the structure — agent does not decide slide count, order, or what to emphasize.

Stage 2: Slide Generation

Full reference: references/slide-generation.md

Tool: nanobanana (Gemini CLI extension)

Priority order (edit-first):

  1. Has paper figure → nanobanana /edit to wrap into slide frame
  2. Has existing slide → /edit to adapt
  3. User-provided reference (e.g., from NotebookLM or PPTX the user made) → /edit to refine
  4. Title slide from scratch → generate with academic style prompt
  5. Content slide from scratch → generate with deck-style preamble

Key principle: prefer /edit on existing HQ paper figures over generating from scratch.

Deck style: create deck-style.md once per deck, prepend to all generate-from-scratch prompts. For /edit, style is inherited from the base image.

Example deck-style.md:

markdown
- Canvas: 1920x1080, white background
- Accent: #2563EB blue, text: #1e293b dark slate
- Clean sans-serif, flat design, no gradients/shadows
- Bottom bar: blue accent with white affiliation text

Stage 3: TTS Audio (optional)

Full reference: references/tts-engines.md Batch scripts: scripts/batch_tts_edge.py, scripts/batch_tts_kokoro.py

Output: one audio file per narrated slide

Show full SKILL.md (300 more words)Show less
Engine Selection
EngineQualityCostLatencyBest For
edge-tts (default)Very goodFree, unlimited~6s/slide (cloud)Quick generation, good male voices
KokoroVery goodFree, unlimited~1.5s/slide (local)Offline use, fast batch, good female voices
ElevenLabsPremium10k chars free/mo~3s/slide (cloud)Highest quality, voice cloning

Default: Use edge-tts unless user requests offline or premium quality.

Quick Start (edge-tts)
python
import edge_tts, asyncio

async def tts_slide(text, output, voice="en-US-AndrewNeural"):
    await edge_tts.Communicate(text, voice).save(output)

asyncio.run(tts_slide("Your slide text here", "slide_01.mp3"))

Voices: AndrewNeural (male, presenter), AriaNeural (female), GuyNeural (male, warm), JennyNeural (female, pro)

Stage 4: Video Assembly (optional)

Tool: ffmpeg Input: slide PNGs + audio files + optional demo recording

bash
# Use symlink to avoid iCloud path spaces: ln -sfn "long path" /tmp/workdir

# Slide with audio:
ffmpeg -y -loop 1 -i slide.png -i audio.mp3 \
  -c:v libx264 -tune stillimage -pix_fmt yuv420p \
  -c:a aac -ar 44100 -ac 2 -shortest seg.mp4

# Silent slide (N seconds):
ffmpeg -y -loop 1 -i slide.png -f lavfi -i anullsrc=r=44100:cl=stereo \
  -c:v libx264 -tune stillimage -pix_fmt yuv420p \
  -c:a aac -ar 44100 -ac 2 -t N seg.mp4

# Concat (always re-encode, never -c copy):
printf "file 'seg1.mp4'\nfile 'seg2.mp4'\n..." > concat.txt
ffmpeg -y -f concat -safe 0 -i concat.txt \
  -c:v libx264 -pix_fmt yuv420p -c:a aac -ar 44100 -ac 2 final.mp4

All segments MUST share: 44100Hz sample rate, stereo, AAC codec.

PPTX Conversion (if needed)

Full reference: references/pptx-conversion.md

If starting from an existing PPTX, convert slides to PNG images first:

bash
soffice --headless --convert-to pdf --outdir output/ presentation.pptx
pdftoppm -png -r 300 output/presentation.pdf output/slide

NotebookLM — Human Reference Only

The agent must NOT auto-invoke NotebookLM or use its outputs to drive slide/script decisions. The human owns the outline, visual arrangement, and deck direction.

When to recommend: only when the user says they're unsure what to put on slides or need inspiration.

Gotchas

  • iCloud paths with spaces break ffmpeg — symlink to /tmp/
  • Audio format mismatch breaks concat — always re-encode with -ar 44100 -ac 2
  • ElevenLabs free tier — mp3_22050_32 only, 10k chars/month
  • edge-tts needs internet — falls back to Kokoro if offline
  • Kokoro WAV files are ~7x larger — convert to MP3 with ffmpeg before video assembly
  • Kokoro first run downloads ~350MB model — ensure pip is in the venv
  • /edit distorts figure — be more explicit: "Keep the original figure exactly as-is, only add framing"
  • Style drift across slides — use /edit from base slide or prepend shared deck-style.md

Dependencies

ToolStageInstall
Gemini CLI + nanobanana2gemini extensions install https://github.com/gemini-cli-extensions/nanobanana
LibreOffice + poppler2 (PPTX)brew install --cask libreoffice && brew install poppler
edge-tts3pip install edge-tts
Kokoro3 (offline)pip install kokoro soundfile
ElevenLabs3 (premium)pip install elevenlabs + ELEVENLABS_API_KEY
ffmpeg4brew install ffmpeg

© LigphiDonk, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 5 other files (scripts, references) in skills/making-academic-presentations of LigphiDonk/Oh-my--paper.

  • SKILL.md
  • references/pptx-conversion.md
  • references/slide-generation.md
  • references/tts-engines.md
  • scripts/batch_tts_edge.py
  • scripts/batch_tts_kokoro.py

Open the folder on GitHubat commit 6baece9

Compare with similar skills

Making Academic Presentations next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Making Academic Presentations compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Making Academic Presentations this skillLigphiDonk/Oh-my--paper738—~2kAutomated safety check: PassMIT
Academic Presentation MakerOpenLAIR/dr-claw1.2k—~1.5kAutomated safety check: PassCustom licence
Kortix Presentationkortix-ai/suna20k—~3kAutomated safety check: PassCustom licence
Roadshow Video Generatoranbeime/skill7.7k—~1.4kAutomated safety check: NotesNone
Tiktok SlideshowLeoYeAI/openclaw-master-skills2.2k—~4.4kAutomated safety check: PassMIT
Academic PresentationsGabberflast/academic-pptx-skill1.1k1 repos~1.9kAutomated safety check: PassProprietary

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Questions about Making Academic Presentations

What does Making Academic Presentations do?

Create academic presentation slide decks and optionally demo videos from research papers. Making Academic Presentations is an agent skill from LigphiDonk/Oh-my--paper. Create academic presentation slide decks and optionally demo videos from research papers.

When should I use Making Academic Presentations?

Making Academic Presentations fits situations like: tasks that involve Slides and decks; tasks that involve Video production.

How do I install Making Academic Presentations in Claude Code?

Run `npx skills add LigphiDonk/Oh-my--paper --skill making-academic-presentations -a claude-code`. Or copy the skill folder (skills/making-academic-presentations in LigphiDonk/Oh-my--paper) into .claude/skills/making-academic-presentations in your project. Claude Code loads it when a task matches its description.

How do I install Making Academic Presentations in Codex?

Run `npx skills add LigphiDonk/Oh-my--paper --skill making-academic-presentations -a codex`. Or copy the skill folder (skills/making-academic-presentations in LigphiDonk/Oh-my--paper) into .agents/skills/making-academic-presentations in your project. Codex loads it when a task matches its description.

Can I use Making Academic Presentations in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add LigphiDonk/Oh-my--paper --skill making-academic-presentations -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/making-academic-presentations, .gemini/skills/making-academic-presentations, .github/skills/making-academic-presentations and .opencode/skills/making-academic-presentations in your project.

What does Making Academic Presentations need to run?

Going by SKILL.md and its folder, Making Academic Presentations needs Python for the scripts in its folder, the command-line tools its instructions call (ffmpeg, brew, pip, claude, soffice and pdftoppm) and credentials named ELEVENLABS_API_KEY. Our summary lists: Python 3; A credential in ELEVENLABS_API_KEY.

Does Making Academic Presentations access the network?

SKILL.md names 1 domain. In commands or code: github.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Making Academic Presentations safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Making Academic Presentations use?

Making Academic Presentations is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Making Academic Presentations use?

About 2k tokens (SKILL.md is roughly 8.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.9k tokens, read only when the agent opens those files.

What are the alternatives to Making Academic Presentations?

Skills that share tags, products or a category with Making Academic Presentations: Academic Presentation Maker (OpenLAIR/dr-claw, 1.2k stars), Kortix Presentation (kortix-ai/suna, 20k stars), Roadshow Video Generator (anbeime/skill, 7.7k stars) and Tiktok Slideshow (LeoYeAI/openclaw-master-skills, 2.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Making Academic Presentations?

LigphiDonk (a GitHub user) maintains it in LigphiDonk/Oh-my--paper, which has 738 GitHub stars. The repository holds 27 skills in this directory. The repository was last updated on April 15, 2026.

Source: LigphiDonk/Oh-my--paper on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.