Miguel Ángel 6b17c24f98 fix(catalog): rank on where a word appears and how rare it is (#3312)
* fix(catalog): rank on where a word appears and how rare it is

Word search returned the right move in the top three for 87% of a
39-query eval set built from real catalog intents. Three defects, all in
the same 75-line scorer, and all found by running the queries rather than
by reading the code.

A token matching an item's NAME counted exactly as much as one buried in
a description. Searching "typewriter effect on a title" ranked the item
literally called `typewriter` seventh, behind entries that merely mention
typing. Name and title now carry three times the weight: an author who
types a move's name is giving the strongest signal available and it was
being averaged away.

Plurals shared no vocabulary with the singular. "a stat that counts up
and then pulses once" matched nothing in a description reading "lands
with a restrained scale pulse", because `counts` is not `count`. Adding
detail to a query made results strictly worse, which is the opposite of
what a search should do. Plurals now fold, and only plurals: Porter would
fold `counter` to `count` and `values` to `valu`, merging moves that mean
different things.

Field weighting alone made one case worse, which is why inverse document
frequency is here too. "reveal a headline one line at a time" put every
item merely NAMED `*-reveal` on top, because one strong hit on the
catalog's most common word outscored several weak hits on the words that
actually narrowed it down. Rarity now scales each term.

Separately: a query in a script this ranker cannot index no longer
reports itself as an empty catalog. Tokenising on [a-z]+ leaves nothing
of a Japanese query, and returning "no items match" told the author the
catalog lacked a move it may well have, then invited them to file a gap
report about it. That case now says what actually happened and withholds
the gap prompt, since nothing was searched.

Measured on the same 39 queries, before and after:
  top-1  31/39 (79%) -> 33/39 (85%)
  top-3  34/39 (87%) -> 39/39 (100%)

Test plan: 13 new tests, each a real failing query reduced to the
smallest fixture that still reproduces it. Existing tests migrated to the
fields API (two callers total). Full CLI suite 2643 passed, 2
pre-existing transcribe failures unchanged. Verified against the real
CLI: "typewriter effect on a title" now returns typewriter first, and
"chat conversation between a user and an assistant" returns chat-message,
chat-thread, ai-chat-reveal instead of transitions-blur.

* docs(skills): say to query the catalog in English

The runtime message added alongside this explains an unsearchable query
after the fact. Saying it up front is cheaper: an agent that never writes
the query in Japanese never sees the error, never wastes the turn, and
never files a gap report about a component that exists.

Worth stating rather than assuming, because the mistake is a reasonable
one. On a Japanese or Chinese project the brief, the narration and the
captions are all in that language and the query naturally follows. The
rule is that the query language and the video language are unrelated:
describe the move in English, write the on-screen copy in whatever the
video needs.

Both skills that own `catalog --query` carry it, and those are the only
two that mention the command at all.

* fix(catalog): fail a non-English query instead of returning nothing

The message explaining an unsearchable query went to stdout and the
command exited 0. An agent that checks the exit code, which is most of
them, read that as "searched successfully, the catalog has nothing" and
went off to hand-author a move that is sitting in the registry. The
explanation only helped a human who happened to be reading the terminal.

It is bad input, not an empty shelf, so it now behaves like one: the
guidance goes to stderr and the command exits 1, matching what an invalid
--type already does. A genuine empty result, where the query parsed fine
and the catalog simply has nothing, still exits 0 -- that distinction is
the whole point, and both halves are pinned by tests.

The wording now also says what to do rather than only what happened:
search in English, and let the on-screen copy of the video stay in
whatever language it needs. That was the part agents were getting wrong,
since a Japanese project makes a Japanese query feel natural.

Test plan: 3 new tests covering the exit code, the wording, and the
genuine-empty case that must stay at 0. Also asserts the gap-report line
is absent, since nothing was searched and a report there is noise in the
one signal that tells us what to build. catalog.test.ts 32 passed;
commands + registry suites 887 passed with the 2 pre-existing transcribe
failures unchanged. Verified against the real CLI: a CJK query exits 1, a
genuine miss exits 0.
2026-08-17 17:20:22 -04:00
2026-08-17 15:11:38 -04:00
2026-08-17 15:11:38 -04:00
2026-03-21 22:43:56 -07:00

HyperFrames

npm version npm downloads License Node.js Discord

Write HTML. Render video. Built for agents.

Quickstart | Showcase | Playground | Catalog | Docs | Discord

HyperFrames demo: HTML code on the left transforms into a rendered video on the right

HyperFrames is an open-source framework for turning HTML, CSS, media, and seekable animations into deterministic MP4 videos. Use it locally with the CLI, from AI coding agents with skills, or as the rendering core behind hosted authoring workflows.

Quick Start

With an AI coding agent

Install the HyperFrames skills, then describe the video you want:

npx skills add heygen-com/hyperframes --full-depth

The picker opens with nothing pre-selected — the Core Skills group is all you need: the /hyperframes router installs each creation workflow on demand. Agents and non-interactive runs should use npx hyperframes skills update instead — it installs exactly the core set, whereas a non-interactive skills add without --skill installs all 20.

--full-depth does a full clone of the repo's current main. Without it, skills add fetches the skills.sh registry blob, which lags main by hours — you'd get an older copy of a skill. (hyperframes skills update already installs full-depth.)

Try a prompt like:

Using /hyperframes, create a 10-second product intro with a fade-in title, a background video, and subtle background music.

The skills teach agents the HyperFrames production loop: plan the video, write valid HTML, wire seekable animations, add media, lint, preview, and render. They work with Claude Code, Cursor, Gemini CLI, Codex, and other coding agents that support skills.

Skills

HyperFrames ships 20 skills agents load on demand. Read /hyperframes first — it's the router and capability map; it picks a workflow for any "make me a…" request — video, deck, or composition port — and points to the domain skills below.

Default to the core set — the router installs each creation workflow on demand. npx hyperframes skills update installs exactly that from anywhere; the interactive picker (npx skills add heygen-com/hyperframes --full-depth) lists it as the "Core Skills" group, nothing pre-selected. The picker is interactive-only — a non-interactive or agent run without --skill installs all 20. Use npx skills add heygen-com/hyperframes --all --full-depth to install all 20 deliberately (skips the picker), or npx skills add heygen-com/hyperframes --skill <name> --full-depth for just one (bare name, no leading /). Keep --full-depth — it installs the current main; without it skills add fetches the skills.sh blob, which lags by hours.

Installs stay lean after that: npx hyperframes init keeps the core set fresh (the router, the hyperframes-* domain skills, and media-use — plus whatever is already installed; /figma stays on demand) and never expands a partial install; the creation workflows install on demand — the router runs npx hyperframes skills update <workflow> before entering one. Nothing re-pulls the full set behind your back.

Upload to Codex

Build the upload-ready Codex plugin archive from the committed HEAD version of the manifest, brand assets, and skills:

bun run package:codex-plugin

This writes dist/hyperframes-plugin.zip with a hyperframes/ root folder and fails if the archive exceeds Codex's 100 MB upload limit.

Router

Skill Use when
/hyperframes Read first for any request to make / create / edit / animate / render a video, animation, or motion graphic. Capability map for the domain skills, the intent layer that confirms every creation brief up front, and intent router for the creation workflows below.

Creation workflows

Skill Use when
/product-launch-video Any website — marketing / launching / promoting a product (from its URL, a brief, or a script), or a site tour / showcase / social clip featuring the site's own visuals. Up to ~3 min (sweet spot 30-90s).
/faceless-explainer Explaining a topic / concept from arbitrary text — no product, no URL, no website capture; every visual is LLM-invented (typography / abstract / diagram / data-viz).
/pr-to-video A GitHub pull request (PR URL, owner/repo#N ref, or "this PR") → changelog / feature-reveal / fix / refactor explainer, read via the gh CLI.
/embedded-captions Adding captions / subtitles to an existing talking-head video (footage untouched) — verbatim rail, embedded climax behind the subject, or pure-cinematic embed.
/talking-head-recut Packaging an existing talking-head / interview / podcast video with designed graphic overlays — lower-thirds, data callouts, kinetic titles, pull-quotes, side panels, PiP.
/motion-graphics A short, unnarrated, design-led motion graphic (~under 10s) — kinetic type, stat / chart hit, logo sting, lower-third, animated tweet / headline. MP4 or transparent overlay.
/music-to-video A music track (audio file, video to pull audio from, or one generated from a mood brief) → a beat-synced video — lyric, slideshow, or kinetic promo; music drives pacing.
/slideshow A presentation / pitch deck / interactive deck — discrete slides, fragment reveals, branching, hotspot navigation, presenter mode. Output is a navigable deck, not a rendered video.
/general-video Anything else — longer or multi-scene pieces, brand / sizzle reel, title card, static loop, freeform composition. Input- and length-agnostic fallback, and the home of companion mode (co-create with the full toolbox).
/remotion-to-hyperframes Porting an existing Remotion (React) composition's source to HyperFrames HTML. One-way migration, not creation.

Domain skills (loaded on demand)

Atomic capabilities the creation workflows compose against — pull one when you need that specific layer.

Skill Covers
/hyperframes-core The composition contract — data-* timing attributes, class="clip", tracks, sub-compositions, variables, framework-owned media playback, determinism rules.
/hyperframes-animation All animation knowledge — atomic motion rules, scene blueprints, transitions, runtime adapters (GSAP / Lottie / Three.js / Anime.js / CSS / WAAPI / TypeGPU).
/hyperframes-keyframes Seek-safe keyframe authoring across runtimes — GSAP timelines, CSS keyframes, Anime.js, WAAPI, FLIP, paths, masks, SVG morph/draw, 3D depth — plus hyperframes keyframes diagnostics for rendered motion.
/hyperframes-creative Non-animation creative direction — frame.md / design.md, palettes, typography, narration, beat planning, audio-reactive visuals, composition patterns.
/media-use The media OS — resolve any media need (BGM, SFX, image, icon, logo, voice, color grade, LUT) into a frozen local file or paste-ready block + ledger record, generate via TTS/music/image models when the catalog misses, transcribe, caption, remove backgrounds, and reuse assets across projects. One shared audio engine + manifest tracking.
/hyperframes-cli CLI dev loop — init, lint, check, snapshot, preview, render, publish, doctor, plus HeyGen-hosted cloud rendering (cloud render) and AWS Lambda rendering (lambda deploy / render / progress).
/hyperframes-audio Mix the audio already placed in a composition — voiceover carve (dip a music bed only in the bands the voice occupies, static or dynamic, level match included), the effect chain (EQ, compressor, limiter, gate, saturation, delay, reverb, chorus, phaser, bitcrush), and automation envelopes on volume or any effect parameter. Sourcing the audio is /media-use.
/hyperframes-registry Install and wire registry blocks and components into compositions via hyperframes add. Authoring a new block or component to contribute upstream.
/figma Import Figma assets, tokens, components, and storyboard sections → reconstructed motion (frames read as states, not slides) (REST/CLI) plus Motion animations (MCP) and shaders (MCP source / native export) into a composition.

For visual design handoff workflows, see the Claude Design guide and Open Design guide.

Manually with the CLI

npx hyperframes init my-video
cd my-video
npx hyperframes preview      # preview in browser with live reload
npx hyperframes render       # render to MP4

Requirements: Node.js 22+, FFmpeg

What You Can Build

Need ideas? Browse the Showcase for finished videos you can watch, read, run, and remix.

  • Product launch videos and feature announcements
  • PR walkthroughs with animated code diffs, narration, and captions
  • Data visualizations, chart races, and map animations
  • Social videos with kinetic captions, overlays, and music
  • Docs-to-video, PDF-to-video, and site-tour explainers
  • Reusable motion graphics for automated content pipelines

Frame.md

frame.md — your design system, ready for video.

Every brand has a design.md. None of them were written for a camera. frame.md is the missing translation layer: it takes your web-context design spec and inverts it for the frame — the same tokens, the same rules, but rewritten so an AI agent can compose a promo video without guessing at scale or reaching for web chrome.

The output is a DESIGN.md superset your whole toolchain can read. Atoms stay sacred. Composition stays free. Numbers come from the script.

Biennale Yellow
Biennale Yellow
BlockFrame
BlockFrame
Blue Professional
Blue Professional
Bold Poster
Bold Poster
Broadside
Broadside
Capsule
Capsule
Cartesian
Cartesian
Cobalt Grid
Cobalt Grid
Coral
Coral
Creative Mode
Creative Mode

Browse and remix them all at hyperframes.dev/design.

How It Works

Define a video as HTML. Add data attributes for timing and tracks. Use GSAP, CSS, Lottie, Three.js, Anime.js, WAAPI, or your own frame adapter for seekable animation.

<div id="stage" data-composition-id="launch" data-start="0" data-width="1920" data-height="1080">
  <video
    class="clip"
    data-start="0"
    data-duration="6"
    data-track-index="0"
    src="intro.mp4"
    muted
    playsinline
  ></video>

  <h1 id="title" class="clip" data-start="1" data-duration="4" data-track-index="1">Launch day</h1>

  <audio
    data-start="0"
    data-duration="6"
    data-track-index="2"
    data-volume="0.5"
    src="music.wav"
  ></audio>

  <script src="https://cdn.jsdelivr.net/npm/gsap@3/dist/gsap.min.js"></script>
  <script>
    const tl = gsap.timeline({ paused: true });
    tl.from("#title", { opacity: 0, y: 40, duration: 0.8 }, 1);
    window.__timelines = window.__timelines || {};
    window.__timelines.launch = tl;
  </script>
</div>

Preview instantly in the browser. Render locally or in Docker. The renderer seeks each frame in headless Chrome and encodes the result with FFmpeg, so the same input produces the same video.

HyperFrames Stack

HyperFrames is the open-source rendering engine, plus a growing set of tools around HTML-native video creation.

Piece Status What it does
CLI Available Scaffold, preview, lint, inspect, and render local video projects
Core / Engine / Producer Available Parse compositions, drive headless Chrome, encode video, and mix audio
Catalog Available Reusable blocks and components for transitions, overlays, captions, charts, maps, and effects
Agent skills Available Teach coding agents the video-production patterns that generic web docs miss
Studio Available, evolving Browser surface for previewing and editing compositions
AWS Lambda rendering Available Deploy a distributed render stack and drive renders from your laptop or CI
hyperframes.dev Available Community playground for previewing, iterating, sharing, and rendering HTML-native video projects
frame.md Available Invert your design system for the camera — a DESIGN.md superset an agent can compose video from

Catalog

Install ready-to-use blocks and components:

npx hyperframes add flash-through-white   # shader transition
npx hyperframes add instagram-follow      # social overlay
npx hyperframes add data-chart            # animated chart

Browse the catalog at hyperframes.heygen.com/catalog.

Why HyperFrames?

  • HTML-native: compositions are HTML files with data attributes. No React requirement, no proprietary timeline format.
  • Agent-friendly: agents already write HTML, and the CLI is non-interactive by default.
  • Deterministic: same input, same frames, same output. Built for CI, regression tests, and automated rendering.
  • No build step: an index.html composition plays as-is and can be previewed directly in the browser.
  • Adapter-based animation: bring GSAP, CSS animations, Lottie, Three.js, Anime.js, WAAPI, or a custom runtime.
  • Open source: Apache 2.0 license, with no per-render fees or commercial-use thresholds.

HyperFrames vs Remotion

HyperFrames is inspired by Remotion. Both tools render video with headless Chrome and FFmpeg. The main difference is the authoring model: Remotion's bet is React components; HyperFrames' bet is plain HTML that humans and agents can both write easily.

HyperFrames Remotion
Authoring HTML + CSS + seekable animation React components
Build step None; index.html plays as-is Bundler required
Agent handoff Plain HTML files JSX / React project
Library-clock animations Seekable, frame-accurate via adapters Wall-clock animation patterns need care
Distributed rendering Local and AWS Lambda render paths Remotion Lambda, mature cloud renderer
License Apache 2.0 Source-available Remotion License

Read the full comparison in the HyperFrames vs Remotion guide.

Documentation

Full documentation: hyperframes.heygen.com/introduction

Packages

Package Description
hyperframes CLI for creating, previewing, linting, and rendering compositions
@hyperframes/core Types, parsers, generators, linter, runtime, and frame adapters
@hyperframes/engine Seekable page-to-video capture engine using Puppeteer and FFmpeg
@hyperframes/producer Full rendering pipeline for capture, encode, and audio mix
@hyperframes/studio Browser-based composition editor UI
@hyperframes/player Embeddable <hyperframes-player> web component
@hyperframes/shader-transitions WebGL shader transitions for compositions
@hyperframes/aws-lambda AWS Lambda SDK and deployment surface for distributed renders

Community

HyperFrames is used in production at HeyGen, with community examples from teams like tldraw, TanStack, and others in ADOPTERS.md. Open a PR if your team is using HyperFrames.

Development Note

The repo uses Git LFS for golden regression-test baselines under packages/producer/tests/**/output.mp4 (about 240 MB of .mp4 files). If you're cloning the full repo for development, install Git LFS first:

# macOS
brew install git-lfs

# Ubuntu / Debian
sudo apt install git-lfs

# Windows
winget install GitHub.GitLFS

# Then, once per machine
git lfs install

If you only need source files, you can skip LFS content:

GIT_LFS_SKIP_SMUDGE=1 git clone https://github.com/heygen-com/hyperframes.git

License

Apache 2.0

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Write HTML. Render video. Built for agents.
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