Sp Create Video logo

Sp Create Video

Organization
ReScienceLab
sp-create-video

Film a prototype. Turn a canvas board into a live-action clip of a real person using the product -- in an office, a lift, on the street -- with the interface itself kept pixel-exact rather than redrawn. Covers the animated motion board, rendering it to a reference video, generating the take with Seedance 2.5 on BytePlus ModelArk or Volcengine Ark, the prompt patterns that hold a screen verbatim and keep subtitles out, reviewing a take frame by frame, and the green-plate composite for when the model will not hold the interface. Use when asked for a demo video, a launch or marketing clip, a video mockup, an app-in-the-wild or UGC-style shot, or any video of a prototype being used by a person.

Overview

PublisherReScienceLab
Repositorysuper-prototyping
Skill namesp-create-video
Stars
91
Forks
4
Bundled files
6
LicenseApache-2.0
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.

  • 6 bundled files

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

  • Open source

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

Installation

Install the Sp Create Video 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/ReScienceLab/super-prototyping/tree/main/skills/sp-create-video
  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/ReScienceLab/super-prototyping.git /tmp/super-prototyping
mkdir -p .claude/skills
cp -r /tmp/super-prototyping/skills/sp-create-video .claude/skills/sp-create-video
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Sp Create Video 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 Sp Create Video 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 Sp Create Video 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.

Create video

A board shows the product. This puts the product in the world: someone in an office takes out their phone, your screens are on it, their thumb moves the flow along, and the audio is the room's own sound.

The model generates the scene and must not generate the interface. Every step below keeps the interface out of its hands. A generative model shown a screenshot will redraw it — right colours, right shapes, invented words — and a demo video with invented words in it is worse than no video.

Boards come from canvases/<slug>/; see sp-canvas for running the canvas and its references/layout.md for the folder rules. sp root prints the tree that ships the scripts below:

bash
KIT="$(sp root)"
B=canvases/<slug>; V="$B/scratch/video"; mkdir -p "$V/out"

sp not found? Run sh <sp-canvas skill dir>/scripts/install.sh (Windows: install.ps1). A [super-prototyping:notice] line on a tool's stderr carries its own rule: finish the step, then do what it says.

Everything this skill makes is derived and large, so all of it lives in $V/ — plates, frames, takes, contact sheets — and scratch/ is already gitignored. Never commit an mp4. The one thing that belongs in the folder proper is the motion board, because it is a board.


Spending rule

Every take is the user's money: roughly $2 or ¥11 at 720p/10s, several times that at 1080p/15s, minutes each. Before the first submission say what you are about to shoot, at what resolution, and how many takes you expect. Then shoot one, show it, and ask. Never loop takes unattended, and never re-submit a failed one without saying what you changed.

The key lives in $V/.ark_key (chmod 600, never printed, never echoed into a log) or in ARK_API_KEY. If there is no key yet, stop and ask the user for one. Ark is ByteDance's model API, sold as BytePlus ModelArk outside China and Volcengine Ark inside it. A key works only where it was issued: ark.py calls ModelArk, and takes --region cn for a Volcengine key.


1. Pick the route

RouteThe screen comes outUse it when
Reference videoNear-verbatim: the real pixels, softened by the codecDefault. Start here every time.
Reference images onlyRedrawn. Plausible layout, invented textThe phone is small in frame and unreadable anyway
Green plate + compositeExactly your pixels, no compromiseThe reference video has been tried and the model still rewrites the UI

The routes are not exclusive: a reference video plus a full-resolution still as a reference image is the combination that reads sharpest.


2. Make the interface move

The reference video is a board of your own, animating: NN-<flow>-motion.html in the canvas folder, one CSS timeline, emitted by the same gen.py as every other board. Then frames, then an mp4:

bash
node "$KIT/skills/sp-create-video/scripts/frames.mjs" "$B/19-flow-motion.html" \
  --fps 24 --seconds 10 -o "$V/out/ui" --scale 3          # bun runs it too
ffmpeg -y -framerate 24 -i "$V/out/ui/f%04d.png" -c:v libx264 -crf 16 \
  -vf "crop=trunc(iw/2)*2:trunc(ih/2)*2" -pix_fmt yuv420p "$V/out/mockup.mp4"
ffmpeg -y -i "$V/out/mockup.mp4" -ss 6 -frames:v 1 "$V/ref-phone-hd.png"

Send both. The video carries the motion, the still the sharpness; with the video alone the screen text comes back correct but soft.

Watch mockup.mp4 before going further. Pacing that feels fine scrubbing a board often turns out to be twice too fast in real time, and every later step inherits it.

references/reference-video.md — the motion board's constraints, the --knots re-timing, getting the mp4 somewhere Ark can fetch it (a data: URI is refused), and what a take costs. Read it before the first take.


3. Write the prompt

Into $V/prompt.txt, four blocks: look and style, scene and person, screen contract, sound and negative list. The second is the product; the last one is why the clip has no subtitles, no music and no voice-over.

references/prompting.md — the four blocks, the screen contract that stops the redraw, the three camera choices (locked POV, free direction, the UGC look that actually reads as real), thumb choreography, and a table from the failure you are looking at to the sentence that fixes it. Read it before writing a prompt, and again after any take comes back wrong.


4. Shoot a take

$U below is the public base for mockup.mp4, from the reference above. Ark fetches the video from there; it refuses an inline one.

bash
python3 "$KIT/skills/sp-create-video/scripts/ark.py" \
  --prompt-file "$V/prompt.txt" --video "$U/mockup.mp4" --key-file "$V/.ark_key" \
  --image "$V/ref-phone-hd.png" --res 720p --dur 10 --tag walk -o "$V/out"

It submits, polls, downloads walk-1.mp4 and writes walk-1.json beside it with the prompt, the seed and the usage. That JSON is the only account of what made a clip; keep it, and quote the seed when you report.

Takes run for minutes, so run it in the background against a log and check back rather than holding the session:

bash
python3 ... > "$V/out/walk-1.log" 2>&1 & disown

Add --dry to print the request without sending it — do that once, before the first real submission of a session, and read back what you are about to buy.


5. Read the take before believing it

bash
ffmpeg -v error -i "$V/out/walk-1.mp4" -vf "select=not(mod(n\,24)),tile=5x2" \
  -frames:v 1 "$V/out/walk-1-sheet.png"
ffmpeg -v error -i "$V/out/walk-1.mp4" -vf "crop=iw/3:ih:iw/3:0,scale=iw*2:ih*2" \
  -ss 6 -frames:v 1 "$V/out/walk-1-zoom.png"

Look at the sheet, then at the zoom, as images. Answer these before showing it to anyone:

  • Is the text on the screen your text, word for word? Read it, do not glance at it. This is the failure mode of the whole exercise.
  • Does the interface change on the frame the thumb lands?
  • Any subtitle, caption, watermark or invented logo anywhere in frame?
  • Does the phone drift, zoom or roll when it was meant to be locked?
  • Does the audio have music or a voice in it? There should be a room.

Report what you saw, including the seed and what the take cost. A take that fails the first question is on the wrong route. Go back to step 1.


6. When it still will not hold the interface

references/compositing.md — the green-plate route: the plate images with their tracking markers, shooting a locked plate, and composite.py, which corner-pins your rendered frames back onto the screen so the pixels are exactly yours and the thumb stays on top. It is a day of work and it is the only way to be certain, so spend a take or two on the prompt first.

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 Sp Create Video AI skill do?

Film a prototype. Turn a canvas board into a live-action clip of a real person using the product -- in an office, a lift, on the street -- with the interface itself kept pixel-exact rather than redrawn. Covers the animated motion board, rendering it to a reference video, generating the take with Seedance 2.5 on BytePlus ModelArk or Volcengine Ark, the prompt patterns that hold a screen verbatim and keep subtitles out, reviewing a take frame by frame, and the green-plate composite for when the model will not hold the interface. Use when asked for a demo video, a launch or marketing clip, a v...

Why use Sp Create Video on TypingMind?

Because you install it once and use it with any model. Sp Create Video 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 Sp Create Video in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ReScienceLab/super-prototyping/tree/main/skills/sp-create-video. 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 Sp Create Video?

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 Sp Create Video?

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

Is the Sp Create Video AI skill free?

Yes. It is published on GitHub by ReScienceLab under the Apache-2.0 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇