agentleFS
lsongdevlsongdev/skills/hyperframes/SKILL.md

hyperframes

Skill0 starsChanged 2 months agoNo licenceView on GitHub

Create HyperFrames HTML video compositions — animations, title cards, overlays, captions, GSAP timelines, registry blocks/components, voiceovers, audio-reactive visuals, and scene transitions. Use when asked to build any HTML-based video content, write GSAP animations, add captions or subtitles, generate TTS narration, use registry blocks (hyperframes add), add transitions between scenes, or create any visual motion content. For CLI commands (init, lint, preview, render, transcribe, tts) and the rendering workflow (hf-render.py), see the hyperframes-cli skill.

71 other projects use a version of this, 29 of them edited.

Adopted by

Most recently taken up by

Used with

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

Show its rules and text

We split this skill into the rules it gives an agent

29 rules. 0 are common, 13 are distinctive, and 16 are very specific to this project.

  • 0

    Common

    Most of the 67 edited versions we read keep these.

  • 13

    Distinctive

    This author's own choices. Worth a look.

  • 16

    Very specific

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

No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.

“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.

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.