ukimsanovandClaude Opus 4.7 5594a8286c fix(skill): w2h enforcement round 2 — close the deeper shirking patterns
A second agent debrief (different session, with the prior enforcement edits
applied) revealed the most damning failure yet: the agent used 1 of 65
captured assets. They wrote their own "Asset Audit" table saying SKIP for
64 hero illustrations, brand SVGs, and signature visuals. The entire point
of capture is to USE the brand's assets — that gate was bypassed entirely.

The debrief also revealed 5 other patterns the prior enforcement missed.
This commit closes all 6.

**Pattern A — Asset Audit gate (step-3-storyboard.md)** — BIGGEST FIX

Adds a non-skippable Asset Audit section in Step 3 that requires viewing
every page of capture/assets/contact-sheet-*.jpg + svgs/contact-sheet-*.jpg,
pasting 5 distinctive assets per page (with descriptions of what's actually
pictured), and choosing USE/SKIP per asset with one-sentence justification
for each SKIP. Brand-defaults floor: at least one beat MUST use a captured
hero illustration/photograph/signature diagram — not just the logo. The
forbidden list explicitly calls out: reading asset-descriptions.md alone
without opening the contact sheets, and rebuilding signature graphics in
CSS when the brand's own SVG of that graphic is in capture/assets/.

**Pattern B — Auto mode scope (SKILL.md + step-2-brief.md)**

Clarifies that auto mode covers user-PREFERENCE gates (TTS provider,
voice, beat count, captions yes/no — where the agent decides on the
user's behalf) but NOT quality-VERIFICATION gates (Asset Audit, per-beat
HTML read, DoD checklist, honest disclosure). Adds explicit test for
distinguishing: if the answer changes the content of the video, it's a
preference; if the answer is "did the verification happen?", it's a
quality gate. The agent that skipped the captions question by reasoning
"auto mode says bias toward action" was misusing auto mode.

**Pattern C — 3-path audio/motion verification (step-6-validate.md)**

Replaces the prior "Path 1 or explicit deferred" with three explicit
paths: (1) Play preview in Playwright, (2) render low-res MP4 and read
frames at ≥5fps, or (3) explicit deferred disclosure with QUANTIFIED
coverage gap ("18/900 frames = 2% coverage"). The percentage in Path 3 is
mandatory — vague "deferred to user" was the loophole. Forbidden: claiming
"confirmed via snapshot" as audio/motion evidence; 18 PNGs from a 900-
frame video is 2% coverage, not verification.

**Pattern D — Sub-agent diagnoses are hypotheses (beat-builder-guide.md)**

When a sub-agent reports "this is a linter false positive" / "this is a
known bug", that is a HYPOTHESIS from one symptom — not a verified
finding. Before propagating the workaround to other beats, main agent
must EITHER read the source to confirm OR explicitly disclose the
unverified claim. The debrief showed the main agent applied beat-2's
"linter false positive" diagnosis to beat-4 without ever reading
packages/core/src/lint/utils.ts to confirm.

**Pattern E — Re-snapshot after parallel sub-agents (step-5-build.md)**

When sub-agents run in parallel, each snapshots a project where sibling
beats may not exist yet. Their snapshots at beat boundaries or during
shader transitions show the WRONG content (typically previous beat).
Required after all complete: a canonical project-wide snapshot via the
CLI — that's what Step 6's DoD uses. Sub-agents' intermediate snapshots
are sanity checks, not the deliverable.

**Pattern F — STORYBOARD.md must be updated when divergence accepted
(beat-builder-guide.md)**

When a sub-agent diverges from spec ("the real brand mark is lowercase
'huly' not uppercase 'HULY'") AND the main agent accepts the divergence,
the main agent MUST patch STORYBOARD.md to reflect reality. Otherwise
the spec lies and the next session reading it as ground truth gets the
wrong information. Examples covered: brand mark casing, cell size at
scale, SFX timing alignment.

6 files changed, +131/-11 (net +120 lines of enforcement).
Format checks pass.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-21 21:51:52 -07:00
2026-03-21 22:43:56 -07:00

HyperFrames

npm version npm downloads License Node.js Discord

Write HTML. Render video. Built for agents.

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

Hyperframes is an open-source video rendering framework that lets you create, preview, and render HTML-based video compositions — with first-class support for AI agents.

Quick Start

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

npx skills add heygen-com/hyperframes

This teaches your agent (Claude Code, Cursor, Gemini CLI, Codex) how to write correct compositions, GSAP timelines, Tailwind v4 browser-runtime styles, and first-party adapter animations. In Claude Code, the skills register as slash commands — invoke /hyperframes to author compositions, /hyperframes-cli for the dev-loop commands (init, lint, preview, render), /hyperframes-media for asset preprocessing (TTS, transcription, background removal), /tailwind for init --tailwind projects, /gsap for timeline animation help, or the adapter skills (/animejs, /css-animations, /lottie, /three, /waapi) when a composition uses those runtimes.

For Claude Design, open docs/guides/claude-design-hyperframes.md on GitHub and click the download button (↓) to save it, then attach the file to your Claude Design chat. It produces a valid first draft; refine in any AI coding agent. See the Claude Design guide.

For Codex specifically, the same skills are also exposed as an OpenAI Codex plugin — sparse-install just the plugin surface:

codex plugin marketplace add heygen-com/hyperframes --sparse .codex-plugin --sparse skills --sparse assets

For Claude Code, the repo also ships a Claude Code plugin manifest: test it locally with claude --plugin-dir .. The manifest intentionally omits skills because Claude Code auto-discovers the root skills/ directory by convention, and for marketplace submission use the title HyperFrames by HeyGen plus the black/white icon assets at assets/claude-code-icon-dark.svg and assets/claude-code-icon-light.svg for the two theme slots. For Cursor, the same skills are packaged as a Cursor plugin — install from the Cursor Marketplace, or sideload by cloning this repo and pointing Settings → Plugins → Load unpacked at the repo root.

Try it: example prompts

Copy any of these into your agent to get started. The /hyperframes prefix loads the skill context explicitly so you get correct output the first time.

Cold start — describe what you want:

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

Warm start — turn existing context into a video:

Take a look at this GitHub repo https://github.com/heygen-com/hyperframes and explain its uses and architecture to me using /hyperframes.

Summarize the attached PDF into a 45-second pitch video using /hyperframes.

Turn this CSV into an animated bar chart race using /hyperframes.

Format-specific:

Make a 9:16 TikTok-style hook video about [topic] using /hyperframes, with bouncy captions synced to a TTS narration.

Iterate — talk to the agent like a video editor:

Make the title 2x bigger, swap to dark mode, and add a fade-out at the end.

Add a lower third at 0:03 with my name and title.

The agent handles scaffolding, animation, and rendering. See the prompting guide for more patterns.

Option 2: Start a project manually

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

hyperframes init installs skills automatically, so you can hand off to your AI agent at any point.

Requirements: Node.js >= 22, FFmpeg

Why Hyperframes?

  • HTML-native — compositions are HTML files with data attributes. No React, no proprietary DSL.
  • AI-first — agents already speak HTML. The CLI is non-interactive by default, designed for agent-driven workflows.
  • Deterministic rendering — same input = identical output. Built for automated pipelines.
  • Frame Adapter pattern — bring your own animation runtime (GSAP, Lottie, CSS, Three.js).

Hyperframes vs Remotion

Hyperframes is inspired by Remotion — we used Remotion at HeyGen in production, learned a ton from it, and kept attribution comments in the source for the patterns it pioneered (Chrome launch flags, image2pipe → FFmpeg streaming, frame buffering). Both tools drive headless Chrome and both are deterministic. They differ on one decision: what the primary author writes. Remotion's bet is React components; Hyperframes' bet is HTML.

Hyperframes Remotion
Authoring HTML + CSS + GSAP React components (TSX)
Build step None; index.html plays as-is Required (bundler)
Library-clock animations (GSAP, Anime.js, Motion One) Seekable, frame-accurate Plays at wall-clock during render
Arbitrary HTML / CSS passthrough Paste and animate Rewrite as JSX
Distributed rendering Single-machine today Lambda, production-ready

Licensing: fully open source vs source-available

Hyperframes is completely open source under Apache 2.0 — an OSI-approved license. Use it commercially at any scale, with no per-render fees, no seat caps, no company-size thresholds.

Remotion is source-available, not open source. The code is on GitHub under a custom Remotion License that requires a paid company license above small-team thresholds. It's a great product with a real team behind it — but if open-source licensing matters to you (OSI compliance, redistribution rights, no per-use fees), that's a first-order decision point.

Full write-up with benchmarks, an honest list of where each tool wins, and a GSAP side-by-side: Hyperframes vs Remotion guide.

How It Works

Define your video as HTML with data attributes:

<div id="stage" data-composition-id="my-video" data-start="0" data-width="1920" data-height="1080">
  <video
    id="clip-1"
    data-start="0"
    data-duration="5"
    data-track-index="0"
    src="intro.mp4"
    muted
    playsinline
  ></video>
  <img
    id="overlay"
    class="clip"
    data-start="2"
    data-duration="3"
    data-track-index="1"
    src="logo.png"
  />
  <audio
    id="bg-music"
    data-start="0"
    data-duration="9"
    data-track-index="2"
    data-volume="0.5"
    src="music.wav"
  ></audio>
</div>

Preview instantly in the browser. Render to MP4 locally or in Docker.

Catalog

50+ ready-to-use blocks and components — social overlays, shader transitions, data visualizations, and cinematic effects:

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

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

Documentation

Full documentation at hyperframes.heygen.com/introductionQuickstart | Guides | API Reference | Catalog

Packages

Package Description
hyperframes CLI — create, preview, lint, and render compositions
@hyperframes/core Types, parsers, generators, linter, runtime, frame adapters
@hyperframes/engine Seekable page-to-video capture engine (Puppeteer + FFmpeg)
@hyperframes/producer Full rendering pipeline (capture + encode + audio mix)
@hyperframes/studio Browser-based composition editor UI
@hyperframes/player Embeddable <hyperframes-player> web component
@hyperframes/shader-transitions WebGL shader transitions for compositions

Skills

HyperFrames ships skills that teach AI agents framework-specific patterns that generic docs don't cover.

npx skills add heygen-com/hyperframes
Skill What it teaches
hyperframes HTML composition authoring, captions, TTS, audio-reactive animation, transitions
hyperframes-cli Dev-loop CLI: init, lint, inspect, preview, render, doctor
hyperframes-media Asset preprocessing: tts (Kokoro), transcribe (Whisper), remove-background (u2net) — voice/model/codec selection
hyperframes-registry Block and component installation via hyperframes add
website-to-hyperframes Capture a URL and turn it into a video — full website-to-video pipeline
remotion-to-hyperframes Translate a Remotion (React) composition into a HyperFrames HTML composition
gsap GSAP timelines for HyperFrames: paused registration, deterministic seeking, easing, sequencing, performance
animejs Anime.js animations and timelines registered on window.__hfAnime for deterministic HyperFrames seeking
css-animations CSS keyframe animation patterns that HyperFrames can discover, pause, and seek
lottie lottie-web and dotLottie players registered on window.__hfLottie with local assets and paused playback
three Three.js scenes that render from HyperFrames hf-seek events and window.__hfThreeTime instead of wall-clock time
waapi Web Animations API element.animate() patterns seeked through document.getAnimations()

Contributing

See CONTRIBUTING.md for guidelines.

Cloning the repo

The repo uses Git LFS for golden regression-test baselines under packages/producer/tests/**/output.mp4 (~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
# (or install Git for Windows, which bundles Git LFS as an optional component)

# Then (once, per machine)
git lfs install

If you hit git-lfs filter-process: command not found during git clone or npx skills add heygen-com/hyperframes, install Git LFS and retry. You can also skip LFS content if you only need the source files:

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

License

Apache 2.0

S
Description
Write HTML. Render video. Built for agents.
Readme
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