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Video To Superprompt

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MengTo
video-to-superprompt

Turn a reference video into a super detailed recreation or inspiration prompt. Use when the user provides, mentions, uploads, links, or points to a video and asks to analyze the design, UI, animations, transitions, scroll interactions, typography, colors, assets, WebGL/Three.js, storytelling, section-by-section behavior, or to create a prompt/article that recreates the page, app, interaction, or motion system.

Overview

PublisherMengTo
RepositorySkills
Skill namevideo-to-superprompt
Stars
6.1K
Forks
717
Bundled files
7
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.

  • 7 bundled files

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

  • Open source

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

Installation

Install the Video To Superprompt 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.
  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/MengTo/Skills.git /tmp/Skills
mkdir -p .claude/skills
cp -r /tmp/Skills/agent-skills/codex/video-to-superprompt .claude/skills/video-to-superprompt
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Video To Superprompt 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 Video To Superprompt 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 Video To Superprompt 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.

Video To Superprompt

Goal

Convert any usable reference video into a builder-ready prompt that captures what the video shows, how it moves, how it should be rebuilt, and what assets or generated media are needed. The default output is one paste-ready prompt unless the user asks for an article, asset pack, or implementation.

Workflow

  1. Locate the source video.

    • Accept local paths, uploaded files, URLs, browser-visible videos, article assets, or repo media.
    • If the video is referenced but inaccessible, ask for the exact file or URL before inventing details.
    • If the user wants exact recreation, inspect any source HTML/CSS/JS or local page connected to the video before writing the prompt.
  2. Inspect the video technically.

    • For local files, run ffprobe for duration, dimensions, frame rate, codec, and size.
    • Extract representative frames with ffmpeg, favoring timeline beats over uniform thumbnails.
    • Suggested quick pass:
      bash
      ffprobe -v error -show_entries format=duration,size:stream=width,height,r_frame_rate -of json "$VIDEO"
      mkdir -p /tmp/video-frames
      ffmpeg -y -i "$VIDEO" -vf fps=1 /tmp/video-frames/frame-%03d.jpg
    • For long or scroll-heavy videos, also extract start/middle/end and visible transition moments.
  3. Analyze in layers.

    • Story: page/app purpose, emotional arc, section order, transition between beats.
    • Screen/layout: viewport framing, grids, sticky zones, cards, media, overlays, margins, navigation, footer.
    • Motion: reveal timing, easing, parallax, masks, pinned sections, scroll scrubbing, hover/tap states, looped ambient motion, camera moves.
    • Visual design: typography, color palette, surfaces, borders, shadows, texture, iconography, image/video treatment.
    • Technical rebuild: CSS/native APIs, IntersectionObserver, Web Animations API, GSAP ScrollTrigger, Lenis, Framer Motion/Motion One, Three.js/WebGL, canvas, video currentTime scrubbing, carousels, or other domain libraries.
    • Accessibility/performance: reduced motion, mobile behavior, touch/keyboard states, lazy loading, video preload, pixel-ratio caps, static fallbacks.
  4. Plan assets.

    • Produce an asset map. Include exact URLs when supplied, local filenames when used, or placeholder names when assets still need generation.
    • If AI assets are needed, create separate prompts for image plates, video clips, WebGL/canvas elements, posters, sprites, masks, and texture overlays.
    • If user names specific models or APIs, preserve them exactly in the prompt and separate image prompts from video prompts.
  5. Write the superprompt.

    • Use a single fenced text block for the paste-ready prompt unless the user asks for another format.
    • Start with the final thing to build and the reference boundary: exact recreation vs inspired adaptation.
    • Include: asset map, brand/content, global design language, layout rules, section-by-section anatomy, motion system, scroll system, video behavior, WebGL/Three.js behavior, responsive requirements, accessibility/performance, and anti-patterns.
    • For every major section, specify purpose, layout, visual details, animation, interactions, scroll behavior, library/API choice, and reduced-motion fallback.
    • Avoid vague phrases like “make it beautiful,” “similar animation,” or “nice transitions.” Convert taste into concrete build instructions.
  6. Verify before finalizing.

    • Check that all asset paths/URLs in the prompt exist or are clearly marked as placeholders.
    • If screenshots/frames were created, confirm files are non-empty and representative.
    • If writing an article or repo artifact, obey local workspace instructions, keep dirty-worktree staging narrow, and commit when required.

Output Modes

  • Prompt only: Give the paste-ready prompt and, when helpful, a short asset map above it.
  • Article: Create content.md plus local frame/video evidence, manifest, and prompts. Follow the current repo article conventions.
  • Implementation brief: Add a build plan and QA checklist after the prompt.
  • Asset-generation pack: Split prompts into background images, video clips, sprites/WebGL, posters, and final page prompt.

Quality Bar

  • The prompt should be long enough to rebuild the interaction without seeing the original video.
  • It should preserve the video’s sequence, pacing, and notable quirks.
  • It should name exact motion mechanisms: pinned section, scrubbed timeline, video.currentTime, parallax layer, opacity reveal, transform, mask, shader, particle field, hover state, or carousel physics.
  • It should include mobile behavior and reduced-motion behavior every time.
  • It should call out what to avoid, especially generic landing-page sections, decorative blobs, mismatched stock media, autoplay-only video when scroll-scrubbing is required, and text overlap.

References

  • Read references/superprompt-template.md when writing the final prompt from scratch or when the user asks for the “full detailed prompt.”

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 Video To Superprompt AI skill do?

Turn a reference video into a super detailed recreation or inspiration prompt. Use when the user provides, mentions, uploads, links, or points to a video and asks to analyze the design, UI, animations, transitions, scroll interactions, typography, colors, assets, WebGL/Three.js, storytelling, section-by-section behavior, or to create a prompt/article that recreates the page, app, interaction, or motion system.

Why use Video To Superprompt on TypingMind?

Because you install it once and use it with any model. Video To Superprompt 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 Video To Superprompt in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/MengTo/Skills/tree/main/agent-skills/codex/video-to-superprompt. 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 Video To Superprompt?

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 Video To Superprompt?

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

Is the Video To Superprompt AI skill free?

Yes. It is published on GitHub by MengTo 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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