agentleFS
Sign inStart free
vikneshwaran16032005-altvikneshwaran16032005-alt/claude-skills/hyperframes-core/SKILL.md

hyperframes-core

Skill3 starsChanged 20 days agoNo licenceView on GitHub

The HyperFrames composition contract — build one renderable project. Use for composition structure, the `data-*` timing attributes, `class="clip"`, tracks, sub-compositions, variables, framework-owned media playback, deterministic-render rules, and validation. Read before writing composition HTML.

27 other projects use a version of this, 22 of them edited.

Adopted by

Most recently taken up by

Used with

Projects with it also use talking-head-recut, product-launch-video 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.
  • jaron-goh-centrSkill

    talking-head-recut

    Package an existing talking-head / interview / podcast video with timed, designed GRAPHIC OVERLAY cards — kinetic titles, lower-thirds, data callouts, quotes, side panels, picture-in-picture — synced to the transcript, on a 16:9 / 9:16 / 4:5 canvas of your choice; the clip plays untouched underneath. Trigger on "graphic overlays", "on-screen graphics", "package / dress up my video". Not plain subtitles (/embedded-captions). Unclear → /hyperframes.

    Also in 8 projects that use this

  • EveryIncSkill

    product-launch-video

    Build polished product launch videos in Remotion from brief → storyboard → render → multi-agent review → iterate. Designed for 15-30s social clips for product launches, feature demos, and before/after transformations. Triggers on: product video, launch video, demo video, remotion video, make a video for launch.

    Also in 13 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 5 projects that use this

  • jaron-goh-centrSkill

    website-to-video

    Capture a general website/URL and turn it into a video OF the site — tour, showcase, or social clip built from captured screenshots and the site's own brand assets. Use for portfolio / blog / docs / landing-page showcases. Not a product launch or promo, even from a URL (/product-launch-video). Unclear → /hyperframes.

    Also in 4 projects that use this

  • OpenAISkill

    figma

    Use the Figma MCP server to fetch design context, screenshots, variables, and assets from Figma, and to translate Figma nodes into production code. Trigger when a task involves Figma URLs, node IDs, design-to-code implementation, or Figma MCP setup and troubleshooting.

    Also in 5 projects that use this

  • VercelSkill

    remotion-best-practices

    Best practices for Remotion - Video creation in React

    Also in 3 projects that use this

The file

We split this skill into the rules it gives an agent

12 rules. 1 is common, 1 is distinctive, and 10 are very specific to this project.

  • 1

    Common

    Most of the 22 edited versions we read keep these.

  • 1

    Distinctive

    This author's own choices. Worth a look.

  • 10

    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 22 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.

Check your setup, free