Video to superprompt
Production-ready AI agent profiles for Claude Code, Cursor, and Codex. Search, install, and contribute ForgeCat packages.
npx -y skills add nota-america/forgecat-agent-profiles --skill video-to-superpromptAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
One thing to look at
- 24 stars24 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
What its author says it does
Copied from the file, not written here
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.
SKILL.md
5.4 KB, ~1.1k tokens by cl100k_base, as published. Nobody here has run it
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
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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.
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Inspect the video technically.
- For local files, run
ffprobefor duration, dimensions, frame rate, codec, and size. - Extract representative frames with
ffmpeg, favoring timeline beats over uniform thumbnails. - Suggested quick pass:
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.
- For local files, run
-
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.
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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.
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Write the superprompt.
- Use a single fenced
textblock 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.
- Use a single fenced
-
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.mdplus 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.mdwhen writing the final prompt from scratch or when the user asks for the “full detailed prompt.”