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LeostrukaLeostruka/devin-bundle/skills/hyperframes/SKILL.md

hyperframes

Skill0 starsChanged 3 months agoMITView on GitHub

Use when turning HTML/data-attribute animations into MP4 video (kinetic text, web-native motion graphics, DOM-driven scenes). Routes to extensions/hyperframes/wrapper.py, a whitelist passthrough to the hyperframes CLI over npx (Node >= 22 + FFmpeg required).

71 other projects use a version of this.

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Projects with it also use cut-mistakes, cut-silences and 10 more.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
  • nateherkaiSkill

    cut-mistakes

    Agent 2 of the video editing pipeline. Finds and removes spoken mistakes — stutters, repeated words, false starts, and retakes (re-recorded lines) — from a talking-head recording. Use after cut-silences, when asked to cut mistakes, remove stutters / repeats / filler restarts, clean up flubs, or keep the best take. Works review-gated: it proposes every cut with context and a reason for approval, then renders only the approved cuts via ffmpeg. Requires a word-level transcript.

    Also in 5 projects that use this

  • nateherkaiSkill

    cut-silences

    Agent 1 of the video editing pipeline. Removes silences and dead air from a talking-head recording. Use when asked to cut silences, trim pauses, remove dead air / gaps, or tighten the pacing of a raw video, given a word-level transcript. Produces an edit list (EDL), a re-timed transcript for downstream agents, and optionally the cut video via ffmpeg. Does NOT cut mistakes, repeats, or false starts — that is the cut-mistakes agent.

    Also in 5 projects that use this

  • NexumAI-onlineSkill

    short-form-edit

    Convertí una grabación hablada en un reel, YouTube Short o anuncio corto terminado, con apertura que genere curiosidad, resolución respaldada por el contenido, cortes narrativos, gráficos sincronizados, B-roll en movimiento, subtítulos, música sutil y efectos. Para videos largos usá edit-video; para quitar sólo pausas, cut-silences.

    Also in 4 projects that use this

  • anton-abyzovSkill

    waapi

    Web Animations API adapter patterns for HyperFrames. Use when authoring element.animate() motion, Animation currentTime seeking, document.getAnimations(), KeyframeEffect timing, fill modes, or native browser animations that must render deterministically in HyperFrames.

    Also in 5 projects that use this

  • LangChainSkill

    hyperframes-keyframes

    Use when a HyperFrames composition needs a punch-in, punch-out, zoom, reframe, Ken Burns treatment, camera move, visual match/whip handoff, or other seek-safe 2D/3D keyframes; also for GSAP, CSS keyframes, Anime.js, WAAPI, FLIP, paths, masks, SVG morph/draw, text trails, 3D depth, or `hyperframes keyframes` diagnostics. Don't use for broad scene strategy, brand design, media sourcing, captions, or general video planning.

    Also in 14 projects that use this

  • Google CloudSkill

    video-storytelling

    Cinematic video ad storytelling expertise. Covers 3-act narrative structure, emotional arcs, camera motion, scene transitions, and voiceover pacing for 10-second commercial video ads using Gemini Omni. Load this skill when generating video ads or storylines.

    Also in 5 projects that use this

  • +2 more from nateherkai

The file

We split this skill into the rules it gives an agent

1 rule. 0 are common, 1 is distinctive, and 0 are very specific to this project.

  • 0

    Common

    Most of the 67 edited versions we read keep these.

  • 1

    Distinctive

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    No arbitrary CLI flag injection.

    line 55

“Common” is measured: kept by at least 6 in 10 of the 67 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Hyperframes

HTML-native animation to MP4 via extensions/hyperframes/wrapper.py -- thin passthrough to hyperframes over npx -y hyperframes@latest. Animations are declared in HTML with data attributes; no React, no bundler project required.

Requirements

  • Node.js >= 22 with npx (or hyperframes on PATH).
  • FFmpeg on PATH for MP4 encode.
  • Missing toolchain reports status: missing -- never fabricate.

Commands

W=extensions/hyperframes/wrapper.py

python $W doctor                                   # node>=22, npx, ffmpeg, invoker
python $W init [dir]                               # scaffold a project
python $W render <project> [--output out.mp4] \
    [--fps 30] [--duration 10] [--width 1920] [--height 1080]
python $W render --input <project> [--output out.mp4]

render requires a positional project path or --input. Only whitelisted flags (--input --output --fps --duration --width --height) are forwarded; anything else is rejected as flag injection. Render timeout is 600s; other commands 60s.

Workflow

  1. doctor once per session; confirm node_ok and invoker.
  2. init a project dir or point render at an existing one.
  3. render to MP4; check envelope status and exit_code.

hyperframes vs remotion-render

  • hyperframes: HTML + data attributes, web-native; best for quick kinetic text / DOM animations without a React toolchain.
  • extensions/remotion-render: React/Remotion compositions; heavier, programmatic scenes driven by the animation-direction plan schema. Choose hyperframes when the source is plain HTML; remotion-render when the scene needs the React composition model.

Boundaries

  • Whitelisted subcommands (doctor init render) and flags only.
  • No arbitrary CLI flag injection; no shell.
  • Output bounded at 1 MiB per stream.

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