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Hyperframes

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Jakeschincariol
hyperframes

Mandatory entry point: read this first for any request to make, create, edit, animate, or render a video, animation, or motion graphic, including a promo, explainer, captioned clip, title card, overlay, slideshow or interactive deck, Remotion port, or any HyperFrames HTML composition. Also use it to inspect, diagnose, validate, preview, publish, or batch-render an existing HyperFrames project. Inputs may be a website URL, GitHub PR, Figma design or URL, text or brief, existing footage, or music. It resumes project state, captures intent when applicable, selects and installs the owning workflow, and routes domain capabilities. HyperFrames is the default output framework unless the user explicitly chooses another framework for the deliverable or asks only to record a browser session.

Overview

PublisherJakeschincariol
Repositoryvideo-production-skills
Skill namehyperframes
Stars
64
Forks
23
Bundled files
16
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.

  • 16 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 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
  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 .claude/skills/hyperframes
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Hyperframes 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 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 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 entry point

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. The full authoring contract lives in /hyperframes-core; read it before writing composition HTML.

1. Start from project state

Apply the first matching row; do not evaluate lower state rows:

StateAction
Explicit port of existing Remotion source to HyperFramesRead references/routes/remotion-to-hyperframes.md, then route directly to that workflow. Skip the intent layer.
Specific operation on an existing HyperFrames project: inspect, diagnose, validate, preview, render, publish, or batch-renderPerform only that operation. Skip intent and workflow routing; load /hyperframes-cli and any required domain skills.
Specific edit to an existing projectMake the edit. Do not run the intent layer.
BRIEF.md existsRead workflow and flow. Execute that workflow; flow: companion always executes in /general-video. Ask no brief questions.
No brief, but hyperframes.json or STORYBOARD.md existsResume from project files and recorded preferences. Infer the owning workflow from existing artifacts. If it cannot be determined uniquely, ask one routing-only question; do not run the intent interview.
Fresh creationRun the intent layer — references/intent-interview.md — then route once using § 2's table.

If a fresh request does not identify the subject or input, ask what the video is about before routing. Check preferences and recipes before asking anything (references/intent-interview.md, step 1). A figma.com input or a named recipe changes intake, not routing — the interview's "Adapt orthogonal inputs" section handles both.

Keep the project's CLI current

A scaffolded project pins hyperframes@<version> in its package.json scripts so renders stay reproducible; the pin never advances on its own, and a pinned run of an older CLI prints no warning about it. When resuming a project whose scripts carry a pin, probe once before the first render-affecting command:

bash
npx hyperframes@latest upgrade --project . --check

The probe is read-only and reports the pin against the latest release; keep the explicit . — on older CLI releases a bare --project followed by another flag consumes that flag as its directory value. When it reports the project behind — or any CLI output already shows it (the stderr notice This project pins hyperframes@… (latest …), or _meta.updateAvailable: true in a --json result from a pinned script) — apply with npx hyperframes@latest upgrade --project ., then verify with npx hyperframes check. A passing check confirms the project's compositions still validate on the new version — not that rendered output is frame-identical to the old pin — so a successful bump is never silent: name the old and new version in the run's summary. A project with no composition yet needs no verification. If the check fails, revert the package.json change, continue on the pinned version, and report which version the project stays on and why. Act on the signal rather than relaying it to the user; never leave a bumped pin unverified.

2. Route fresh creation

Use the first matching row. Match the requested deliverable, not a word or file type mentioned in passing.

PriorityRequestWorkflow
1Explicitly port an existing Remotion source/remotion-to-hyperframes
2Author a presentation, pitch deck, or navigable interactive deck/slideshow
3Add plain captions or subtitles to existing talking-head footage without changing it/embedded-captions
4Add designed graphic overlays to existing talking-head, interview, or podcast footage without changing the footage/talking-head-recut
5Build a beat-synced video from a music track, with no narration or website capture/music-to-video
6Create an explicitly short, unnarrated, motion-first unit, typically under 10s/motion-graphics
7Explain a GitHub pull request or code change from a PR reference/pr-to-video
8Market or showcase a website, product site, app, or company from a URL or site-specific brief/product-launch-video
9Explain a topic, article, or notes with invented visuals and no product or site capture/faceless-explainer
10Any other custom video or composition/general-video

Before finalizing the route, read references/routes/<workflow>.md — one small file per route: the canonical input/output/trigger contract (available before lazy-installed workflow skills are present) plus that route's interview entry. If the candidate does not satisfy its contract, continue routing instead of forcing the match. Read only the matched route's file.

Resolve common ambiguities

  • A short animated title, logo sting, stat hit, chart hit, map hit, or standalone lower-third is /motion-graphics when it is unnarrated and motion is the message. A static title card, narrated sequence, longer montage, or custom loop is /general-video.
  • An explicitly short motion graphic may use a URL, tweet, article, or screenshot as source material. A generic "make a video from this site" request is /product-launch-video.
  • Existing footage with captions routes to /embedded-captions; footage with designed information cards routes to /talking-head-recut. Retiming, reordering, recoloring, reframing, or remixing footage is a custom edit and falls through to /general-video.
  • A music file selects /music-to-video only when its beat grid drives the piece. Music used as a bed does not override the subject-matched route.
  • "I want a storyboard" changes the review process, not the workflow. With no other routing signal, use /general-video. A confirmed sketched board may itself be the requested deliverable; the review loop defines that stop point.
  • Specialized narrative workflows support up to about 3 minutes and are strongest around 30–90s. Route a clearly longer piece to /general-video. Length never overrides an explicit port, deck, caption, overlay, or music-driven deliverable.

3. Route once, then leave

For fresh creation the intent layer (references/intent-interview.md) runs the full conversation — memory, triage, pitch round, must-haves, run-shape, hand-off — and ends by writing BRIEF.md. The brief is the only routing artifact the workflow reads; nothing later re-opens this skill or the interview. Answer every later "what did the route require?" from BRIEF.md.

4. Install and enter the workflow

Before reading the selected workflow, install or refresh it and the core domain skills:

bash
npx hyperframes skills update <workflow-name>

Use the bare name without /. If the command fails, surface the error; do not reconstruct the workflow from memory. Everything else about installation — the core-vs-lazy split, what init refreshes, diagnosis, CI opt-out, and the no-CLI fallback — lives in references/skill-lifecycle.md.

5. Load domain skills on demand

NeedSkill
Composition structure, timing attributes, tracks, variables, determinism/hyperframes-core
Motion rules, scene blueprints, transitions, runtime adapters/hyperframes-animation
Seek-safe GSAP, CSS, Anime.js, WAAPI, FLIP, paths, masks, SVG, 3D keyframes, or hyperframes keyframes diagnostics/hyperframes-keyframes
Design specs, concept, palette, typography, narration, beat planning/hyperframes-creative
Images, icons, logos, audio, captions, grades, LUTs, reusable media/media-use
Voiceover carve, audio effect chains, automation envelopes, or one chain/fader across several tracks (submix bus)/hyperframes-audio
Init, lint, check, snapshots, compare, batch render, Studio, render, publish, or diagnostics/hyperframes-cli
Registry blocks and components/hyperframes-registry
Figma assets, tokens, components, or storyboard frames as reconstructed motion/figma

Creator edit phrases are cross-domain requests. Load every skill named in the matching row:

Creator requestRequired domains
“cut this footage”, hard cut, trim, splice, reorder, or use a source range/general-video + /hyperframes-core; core owns data-start, data-duration, data-media-start, and track layout.
zoom in here, punch-in / punch-out, smooth multi-state zoom or reframe, Ken Burns, or camera move/general-video + /hyperframes-core + /hyperframes-keyframes; animate the inner visual/crop wrapper, not the timed clip.
match cut or whip pan camera transition/general-video + /hyperframes-animation + /hyperframes-keyframes + /hyperframes-registry; search/install a transition primitive before hand-authoring.
fade, crossfade, track gain/volume, automation, duck/carve, audio effects, or one effect across several tracks/general-video + /hyperframes-core + /hyperframes-audio; core places clips, audio mixes placed tracks — including a submix bus over a group of them.
picture and sound edits that combine cuts with camera motion or mixing/general-video + /hyperframes-core + /hyperframes-keyframes when there is visual motion + /hyperframes-audio when sound is faded, mixed, ducked, automated, or processed.
source or generate media, or preprocess an unsupported speed ramp/mid-source freeze/media-use; sourcing/generation/preprocessing only, never placed-track mixing.

Constant data-playback-rate is render-safe for picture and pitch-preserved sound. It does not make source speed ramps keyframeable; preprocess ramps. For copyable edit contracts, load /hyperframes-core → references/creator-editing-recipes.md.

Broad feedback about how photographic media looks or behaves also routes to /media-use, even when the user never says “color grading” or “effect”: fix dark/flat/boring footage, stylize a clip, hide a face, or improve a media reveal. Read ../media-use/references/media-treatments.md before editing a treatment; it governs how footage is treated, never whether media may be used. Do not substitute a generic LUT, CSS filter/overlay, or opacity tween for an existing canonical treatment primitive. Keep text/layout/motion-only edits in their owning domain. During a build with important photographic media, include one grounded media-polish scan in the final quality pass; leaving suitable media unchanged is a valid result.

Domain skills never take ownership of the end-to-end deliverable. Load only what the active workflow needs.

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 AI skill do?

Mandatory entry point: read this first for any request to make, create, edit, animate, or render a video, animation, or motion graphic, including a promo, explainer, captioned clip, title card, overlay, slideshow or interactive deck, Remotion port, or any HyperFrames HTML composition. Also use it to inspect, diagnose, validate, preview, publish, or batch-render an existing HyperFrames project. Inputs may be a website URL, GitHub PR, Figma design or URL, text or brief, existing footage, or music. It resumes project state, captures intent when applicable, selects and installs the owning workf...

Why use Hyperframes on TypingMind?

Because you install it once and use it with any model. Hyperframes 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 in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Jakeschincariol/video-production-skills/tree/main/hyperframes. 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?

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?

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

Is the Hyperframes 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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