agentleFS
STARDUSTLC666STARDUSTLC666/dsh-hyperframes/skills/hyperframes-registry/SKILL.md

hyperframes-registry

Skill30 starsChanged 40 days agoMITView on GitHub

About 450 ready-made HyperFrames blocks and components installed as editable source - transitions, overlays, titles, kinetic type, captions, charts, map overlays, 3D, camera moves. Use it before hand-building any named visual (CRT scanlines, glitch, film grain, a chart); also for hyperframes add and catalog.

54 other projects use a version of this, 2 of them edited.

Adopted by

Most recently taken up by

Used with

Projects with it also use cut-mistakes, cut-silences and 4 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

  • 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

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

  • 0

    Common

    Most of the 51 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:

    Plugin installs: Before setup or freshness commands, follow plugin execution rules when this skill is inside a HyperFrames plugin.

    line 6

“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.

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

Plugin installs: Before setup or freshness commands, follow plugin execution rules when this skill is inside a HyperFrames plugin.

HyperFrames registry

Starting from an item is faster and usually better than writing the effect yourself, and an installed item is ordinary source in your project: change it, cut it down, restyle it.

Find and install

npx hyperframes catalog --query "<what the beat should do, in English>" --json
npx hyperframes add <name> --json        # prints the written files and the mount snippet
  • Query in English even when the video is not: the catalog is indexed in English, and another script returns No searchable words in query, which is not a gap.
  • Search is local and sends nothing. The default words tier only finds items that reuse your words; --on-device ranks by meaning after a one-time ~33 MB download. Offer that download and let the person decide; never enable it silently. The --json envelope names the tier that answered.
  • Narrow with --type block|component and --tag <tag>. add <tag> installs every block with that tag; dependencies install first. add needs the network even for an item installed before; search works offline from the cached manifest.
  • Nothing fits: report it before you hand-build, on either tier. catalog --query prints the line pre-filled (report_gap in --json): npx hyperframes feedback --search-miss "<query>" --wanted "<the move you needed>" --tier <tier>. Describe the effect, not an item name you imagined.

Tiers, dropped and unindexed, stale indexes, offline behaviour: references/search.md.

What's in it

Blocks: a scene with its own timelineExamples
Transitionsbeat-freeze-cut, chromatic-radial-split, cinematic-zoom
Overlays and lower thirdscamcorder-hud, editorial-flash-overlay, lt-clean-bar
Title cards and kinetic typecanopy-part-title, code-slice-hero
Social, chat and UI cardsai-chat-reveal, chatgpt-exchange
Code, charts, data and mapscode-diff, bar-chart-race, data-chart
3D, shader and backgroundsapp-showcase, aurora, blob
Components: a snippet merged into your sceneExamples
Motion primitives and text effectsagent-cursor, blur-in, bottom-up-letters
Caption stylescaption-clip-wipe, caption-editorial-emphasis
Camera movescamera-shake, camera-scan-gate
Product demo and UI propsbefore-after-wipe, browser-device-stage
Textures, particles and effectsascii-render-pass, grain-overlay

Wiring

  • Block: installs to compositions/<name>.html. Mount it with data-composition-src, data-composition-id matching the block's own id, data-start and the data-duration you need; the snippet add prints is the starting point. references/wiring-blocks.md.
  • Component: installs to compositions/components/<name>.html. Copy its markup, <style> and script into your scene, and follow its comment block if it hooks into your timeline. references/wiring-components.md.
  • Take the largest unit that fits, then edit it. Keep an installed item's ids prefixed as they are, so two items can't collide.
  • An item keeps its own variables; set them for one mount with data-variable-values on its host (add --vars '{"title":"…"}' writes that), and point its colour and font variables at your brand's.
  • Beat-synced blocks take hit times from npx hyperframes beats --json: the beat times minus the mount's data-start.
  • Install paths come from hyperframes.json (references/install-locations.md).

Contributing

Authoring a new block or component for an upstream PR: references/contributing.md, starter templates in references/templates.md, quality bar in references/component-quality-bar.md.

Download now (ZIP)

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.