Whiteboard Video
Make hand-drawn whiteboard explainer videos (animated marker drawings, voice-over, burned-in captions, MP4) on any topic. Use this whenever the user wants an explainer video, a whiteboard or "drawn" animation, an animated explainer for a talk, a short video for X/LinkedIn/YouTube that explains a concept, or asks to turn a script, article, slide deck or topic into a narrated video, even if they don't say "whiteboard". It interviews the user for context, writes and fact-checks a scene-by-scene script for approval, offers voice-over options with audio samples (free macOS voices, ElevenLabs, OpenA
Install
npx skills add Matteoikarieth96/whiteboard-video-skill --skill whiteboard-videogit clone --depth 1 https://github.com/Matteoikarieth96/whiteboard-video-skill.git /tmp/whiteboard-video-skill
mkdir -p ~/.claude/skills
cp -r /tmp/whiteboard-video-skill/. ~/.claude/skills/whiteboard-videoPersonal skills live in ~/.claude/skills. Use .claude/skills in a project folder to share a skill with your team.
From the SKILL.md
# Whiteboard video Turn a topic into a narrated whiteboard video: a marker draws each scene in sync with the voice, the board slides to the next scene, captions run at the bottom, and the result is an MP4. Paths below are relative to this skill's folder. The engine lives in `scripts/`, a starter project in `assets/template/`, two complete examples in `examples/`. ## Why the workflow looks like this A whiteboard video is cheap to re-render and expensive to re-think. Most wasted effort comes from drawing scenes for a script the user did not want, or from a voice they dislike. So the order is: context, then script approval, then voice choice, then drawing. Each gate is short, and each one saves a render. ## Step 0: one-time setup check Run these once per machine and fix what is missing before promising a video: ```bash node --version # 18 or newer python3 --version # 3.9 or newer ffmpeg -version # brew install ffmpeg / apt install ffmpeg cd scripts && npm install # installs puppeteer-core (uses the local Chrome, no browser download) ``` Chrome, Chromium or Edge must be installed. If it is somewhere unusual, set `CHROME_PATH`. ## Step 1: gather context Read `references/interview.md` for the full question list. First harvest everything the user already said in this conversation, and only ask what is still missing. Use the question tool when available so the user can answer quickly. The essentials: - topic and the one idea the viewer should leave with
Details
- Skill name
whiteboard-video- Repository
- Matteoikarieth96/whiteboard-video-skill
- License
- MIT
- Repo updated
- 26 October 2026
FAQ
What does the Whiteboard Video skill do?
Make hand-drawn whiteboard explainer videos (animated marker drawings, voice-over, burned-in captions, MP4) on any topic. Use this whenever the user wants an explainer video, a whiteboard or "drawn" animation, an animated explainer for a talk, a short video for X/LinkedIn/YouTube that explains a concept, or asks to turn a script, article, slide deck or topic into a narrated video, even if they don't say "whiteboard". It interviews the user for context, writes and fact-checks a scene-by-scene script for approval, offers voice-over options with audio samples (free macOS voices, ElevenLabs, OpenA
How do I install the Whiteboard Video skill?
skills CLI (Claude Code, Cursor, Codex and more): npx skills add Matteoikarieth96/whiteboard-video-skill --skill whiteboard-video. Skills go in ~/.claude/skills (personal) or .claude/skills (project), and Claude loads them automatically when a task matches the description.
Is Whiteboard Video popular?
It lives in Matteoikarieth96/whiteboard-video-skill, which has 19 GitHub stars and 4 forks.
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