agentsclimarketplace

Video to superprompt

Skill nota-america/forgecat-agent-profiles/profiles/mengto/skills/mango_skills_agent-skills-codex/for-forgecat/skills/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.From its SKILL.md

Install
npx -y skills add nota-america/forgecat-agent-profiles --skill video-to-superprompt

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

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

  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:
      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.”

What ships with it: 2 files

2.5 KB alongside SKILL.md

agents/

references/

Keep looking

Skills are one crate of 325,949. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.