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Hyperframes Core

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Jakeschincariol
hyperframes-core

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. Also covers Tailwind projects and the STORYBOARD.md / SCRIPT.md plan formats. Read before writing composition HTML.

Overview

PublisherJakeschincariol
Repositoryvideo-production-skills
Skill namehyperframes-core
Stars
64
Forks
23
Bundled files
19
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 19 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by Jakeschincariol on GitHub. Read the source before you install it.

Installation

Install the Hyperframes Core AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/Jakeschincariol/video-production-skills/tree/main/hyperframes-core
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Jakeschincariol/video-production-skills.git /tmp/video-production-skills
mkdir -p .claude/skills
cp -r /tmp/video-production-skills/hyperframes-core .claude/skills/hyperframes-core
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Hyperframes Core in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Hyperframes Core on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Hyperframes Core is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

HyperFrames Core

HyperFrames renders video from HTML. A composition is an HTML file whose DOM declares timing with data-* attributes, whose animation runtime is seekable, and whose media playback is owned by the framework.

This skill is the technical contract — how to build one hyperframes project. The body below is the build guide; per-topic detail lives in references/ (index next), read on demand. Other concerns live in the sibling domain skills — hyperframes-animation, hyperframes-creative, media-use, hyperframes-cli, hyperframes-registry. The capability map in /hyperframes says what each one covers.

References

FileRead it to…
references/minimal-composition.mdstart from the smallest renderable composition skeleton
references/composition-patterns.mdchoose monolithic vs modular; structure a modular index.html; pick a sub-comp archetype
references/data-attributes.mdlook up any data-* (root / clip / sub-comp host / legacy aliases); use class="clip"
references/tracks-and-clips.mdunderstand what data-track-index does (and does not) control, z-index, time a clip relative to another
references/creator-editing-recipes.mdcopy truthful cut/trim/reorder/retime/freeze/camera/mask/crossfade/audio editing recipes and their limits
references/sub-compositions.mdwire a sub-composition (host attrs, <template>, per-instance vars) and animate inside it
references/variables-and-media.mddeclare variables; place <video>/<audio>, set volume, trim
references/determinism-rules.mdbuild a seekable timeline; determinism bans; layout / text fit
references/full-screen-motion.mdauthor full-frame motion with shared backgrounds
references/storyboard-format.mdauthor a STORYBOARD.md plan (+ the parsed manifest)
references/review-loop.mdrun the plan → sketch → build review passes on a live board — shared by every storyboard-planning workflow
references/production-loop.mdtake an approved plan to a delivered video — the stage dependencies (audio, frames, assembly, transitions, captions, verify, deliver) a freeform build follows directly
references/brief-contract.mdthe brief's ground rules — mode derivation (collaborative / autonomous), shared field registry, question invariants (the asking itself lives in /hyperframes → the intent layer)
references/brief-format.mdauthor BRIEF.md — the confirmed intent document a workflow's Setup writes and every later step reads
references/script-format.mdauthor the optional SCRIPT.md locked narration
references/subagent-dispatch.mdmap subagent dispatch verbs (parallel fan-out / background / wait) to your harness
references/frame-worker-core.mdthe shared frame-worker role contract — each narrative workflow's packet builder prepends it to that workflow's sub-agents/frame-worker.md delta
references/tailwind.mdwork in a Tailwind v4 project (init --tailwind; runtime contract differs from Studio's v3)

For animation runtime specifics (GSAP API, Lottie, Three.js, etc.) go to hyperframes-animation → adapters/<runtime>.md.

Building a composition

Two root forms (not interchangeable)

  • Standalone (top-level index.html): root <div data-composition-id="…"> sits directly in <body>, no <template> wrapper. Wrapping a standalone root hides all content and lint rejects it (standalone_composition_wrapped_in_template, error).
  • Sub-composition (loaded via data-composition-src): wrap the root in <template>. This is the shape to write: the loader also accepts a plain full document and falls back to its <body>, but the templated form is what the examples and tooling assume.

⚠ Transport rule: for a templated sub-composition the assembler drops the file's own <head> <style>/<script> (packages/core/src/compiler/compositionAssembly.ts, the hasTemplate gate), so put <style>/<script> inside the template. <link> is hoisted either way. ⚠ Host-id convention: give the host slot, the inner template, and the window.__timelines["<id>"] key the same id. A different local id is supported (the assembler falls back to the first root in the file) but the mismatch is silent, so match them unless you have a reason not to.

File shape, host wiring, and the pre-render checklist → references/sub-compositions.md.

Root must be sized (silent layout bug)

The standalone root needs an explicit sized box (width/height in px), and every ancestor down to a height:100% element must have a resolved height — otherwise a flex/100% child collapses to ~0 and content piles into the top-left corner. Do not rely on automated gates alone to catch this; inspect a snapshot. Skeleton → references/minimal-composition.md.

One paused timeline

Each composition registers exactly one gsap.timeline({ paused: true }) at window.__timelines["<id>"] (key = root data-composition-id). Building it inside an async callback (document.fonts.ready) is supported; what matters is that you register only after the build completes. Render length is the root's data-duration, not the timeline's length: a timeline that runs past it is cut off, and one that ends early holds its last frame. Omit the root data-duration and the length is inferred instead (timeline, media window, or adapter). You do not need window.__timelines = window.__timelines || {}: the runtime creates the registry before your inline scripts run, and lint no longer asks for it. Don't manually nest sub-timelines into the host; the runtime auto-nests registered child timelines. Full contract (incl. non-GSAP runtimes) → references/determinism-rules.md + hyperframes-animation/adapters/.

First-pass lint gotchas (a guaranteed first build failure)

Rules that lint does catch, but only after the fact. Write them right the first time:

  • Never pair a CSS initial transform with a GSAP tween on the same property — the CSS value and the tween's start fight and lint rejects it with gsap_css_transform_conflict. Set the initial state inside the tween with gsap.fromTo(el, { x: -40 }, { x: 0 }) instead of a CSS transform: translateX(-40px).
  • Never put crossorigin on <video>/<audio>. lint rejects it unconditionally with media_crossorigin_breaks_preview (error), including for canvas/WebGL/WebAudio readback. There is no suppression.
  • Never give a <video data-start> an ancestor that also carries data-start. lint rejects it with video_nested_in_timed_element (error). Time the wrapper or the video, not both.
  • Every <audio> needs an id. lint rejects it with media_missing_id, and an id-less <audio> is never picked up by the mixer, so the render is silent.

A lint error also switches off the layout and contrast audits: check then reports 0 sample(s) and 0/0 text checks, which reads like a clean file but means nothing ran. Clear lint errors before you trust those numbers.

Non-negotiable rules (silent bugs automated gates may miss)

Surfaced here; full rationale in the linked reference. Do not violate:

  • No render-time clocks / unseeded Math.random / network / input-state; no repeat: -1 (use a finite count). → determinism-rules.md
  • Never tween display or raw visibility on a clip element. The framework owns clip visibility, and lint rejects it. Use GSAP autoAlpha or a zero-duration boundary set. (Tweening ordinary visual properties on a clip element is fine; what lint forbids is taking over its visibility.) → determinism-rules.md
  • No <br> in body text; transformed elements must be block-level + sized; pulsing absolute decoratives need peak clearance. → determinism-rules.md
  • <video>/<audio> are found by a flat document query, so the framework seeks and decodes them at any nesting depth (including inside a sub-comp <template> or wrapper). One hard limit: lint errors if a <video data-start> sits inside another plain element that also has data-start, and the failure is real (wrong source frames, then the clip vanishes mid-slot), so put the timing on the wrapper or on the video, never both. Sub-composition hosts are exempt: media inside a sub-composition renders correctly. The other caveat is timelines, not placement: a sub-comp timeline can't animate host-root elements. → variables-and-media.md
  • Keep every id unique across the assembled page (prefix sub-comp ids with the composition id, #<id>-hero) so your own #id CSS and getElementById calls resolve. Frame injection no longer depends on it: the compiler stamps a document-unique data-hf-render-id on every video[src]/audio[src]/img[src]. Media that uses <source> children instead of a src attribute is not stamped, so unique ids still matter there. → composition-patterns.md
  • A full-screen fill on the composition root is fine on a normal render. It is dropped only on the layered-composite path (HDR content, or a composition using shader transitions), where the engine forces every composition root transparent so the layer beneath shows through. If your composition uses shader transitions or HDR media, put the fill on a full-bleed child (position:absolute; inset:0). → composition-patterns.md

Editing existing compositions

  • Read the files first. Preserve unrelated timing, tracks, IDs, variables, media paths.
  • Match existing composition IDs and timeline keys.
  • Adding a clip: set its data-start/data-duration intentionally against the clips around it. data-track-index is a Studio display lane, not a timing constraint, so it does not need to be free.
  • data-hidden on any composition element hides it in BOTH preview and render, overriding its time window; it is non-destructive/reversible and toggled by Studio's timeline eye icon.
  • Adding a sub-composition: verify its internal data-composition-id before wiring the host.

Validation

Use hyperframes-cli for command details

  • npx hyperframes check passes (0 findings across lint, runtime, layout, motion, and contrast)
  • Projects with sub-compositions: npx hyperframes snapshot --at <midpoints> and eyeball each frame
  • npx hyperframes preview --background for review (the user can edit anything in Studio's timeline, and the server survives the invoking command)
  • npx hyperframes render only after the user approves

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Hyperframes Core AI skill do?

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. Also covers Tailwind projects and the STORYBOARD.md / SCRIPT.md plan formats. Read before writing composition HTML.

Why use Hyperframes Core on TypingMind?

Because you install it once and use it with any model. Hyperframes Core is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Hyperframes Core in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Jakeschincariol/video-production-skills/tree/main/hyperframes-core. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Hyperframes Core?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Hyperframes Core?

As many as you like. As long as a model supports skills, you can use Hyperframes Core with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Hyperframes Core AI skill free?

It is published on GitHub by Jakeschincariol. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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