agentleFS
dalerodrdalerodr/play-maker/.agents/skills/hyperframes-registry/SKILL.md

hyperframes-registry

Skill0 starsChanged 43 days agoNo licenceView on GitHub

Search, install, and wire registry blocks and components into HyperFrames compositions. Use BEFORE hand-building any named visual — whenever a brief, a user, or a storyboard names a look, effect, treatment, or transition such as CRT scanlines, glitch, chromatic aberration, film grain, a shimmer sweep, a chart, a code or terminal window, a map, or a confetti burst — because roughly 400 hosted items already cover many of them and the search ranks all of them with nothing installed, no project, and no account. Also use when running hyperframes add or hyperframes catalog, installing one item or every block matching a tag, wiring an installed item into index.html, or working with hyperframes.json. Covers discovery, install locations, block sub-composition wiring, component snippet merging, and authoring a new block or component to contribute upstream (idea → scaffold → validate → PR).

54 other projects use a version of this, 49 of them edited.

Adopted by

Most recently taken up by

Used with

Projects with it also use cut-mistakes, cut-silences and 5 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

  • eyaprakSkill

    hyperframes-studio

    HyperFrames ile bir açılış hook'u (yatay 16:9 intro), dikey 9:16 Shorts ya da 16:9 animasyonlu slidedeck üretmek için hepsi bir arada studio. Ham konuşma klibini ve transcript'i (ya da bir konu/slide içeriğini) alır; koyu tema, tek marka rengi, self-hosted Manrope + JetBrains Mono fontlar ile bitmiş, oynatılabilir bir kompozisyon çıkarır (hook/shorts ayrıca 1080p/60fps MP4'e render edilir). Paket içinde tak-çalıştır starter template'ler gelir. ŞU DURUMLARDA MUTLAKA KULLAN, HyperFrames adı geçmese bile TETİKLE: hook oluştur, intro yap, video başına giriş, insanları hookta tutsun; shorts oluştur, dikey video, bu klibi shorts yap, reels; slidedeck oluştur, sunum yap, bu içeriği slide'la, yeni bir deck; ya da kullanıcı bir "-hook", "-shorts" veya "-slidedeck" klasörü açıp içine ham klip, transcript veya içerik koyduğunda. Başta AskUserQuestion ile hangi mod ve marka rengi sorulur, gerisi paketteki hazır starter'dan kurulur. Yalnızca bu üç HyperFrames video türü için kullan.

    Also in 8 projects that use this

  • anton-abyzovSkill

    hyperframes-media

    Asset preprocessing for HyperFrames compositions — text-to-speech narration (Kokoro), audio/video transcription (Whisper), and background removal for transparent overlays (u2net). Use when generating voiceover from text, transcribing speech for captions, removing the background from a video or image to use as a transparent overlay, choosing a TTS voice or whisper model, or chaining these (TTS → transcribe → captions). Each command downloads its own model on first run.

    Also in 12 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

  • +2 more from nateherkai

The file

We split this skill into the rules it gives an agent

5 rules. 2 are common, 2 are distinctive, and 1 is very specific to this project.

  • 2

    Common

    Most of the 51 edited versions we read keep these.

  • 2

    Distinctive

    This author's own choices. Worth a look.

  • 1

    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 51 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.