Remotion to HyperFrames
Overview
Translate Remotion (React-based) video compositions into HyperFrames (HTML + GSAP) compositions. Most Remotion idioms have direct HyperFrames equivalents — the translation is mechanical for ~80% of typical compositions. This skill encodes the mapping and guards against the lossy 20% by refusing to translate patterns that don't fit HF's seek-driven model and recommending the runtime interop pattern from PR #214 instead.
The skill ships with a tiered test corpus (T1–T4, 4 fixtures total) that grades translations against measured SSIM thresholds. Don't translate without running the eval — a translation that "looks right" but renders 0.05 SSIM lower than the validated baseline is silently wrong.
Workflow
Step 1: Lint the source
Run scripts/lint_source.py over the Remotion source directory. The lint detects patterns that can't translate cleanly:
- Blockers (refuse + recommend interop):
useState,useReducer,useEffect/useLayoutEffectwith non-empty deps, asynccalculateMetadata, third-party React UI libraries (MUI, Chakra, Mantine, antd, shadcn, Radix, NextUI). - Warnings (translate after dropping the construct):
@remotion/lambdaconfig,delayRender,useCallback,useMemo, custom hooks. - Info (translate with note):
staticFile,interpolateColors.
If any blocker fires, stop. Read references/escape-hatch.md and surface the recommendation message. Warnings don't stop translation — drop the offending construct in step 3 and note the gap in TRANSLATION_NOTES.md. @remotion/lambda config is the canonical warning case: the skill drops the import + renderMediaOnLambda(...) calls but translates the rest of the composition.
Step 2: Plan the translation
Read references/api-map.md — the index of every Remotion API and its HF equivalent or per-topic reference. Identify which topic references you'll need based on what the source uses:
| Source contains | Load reference |
|---|---|
Composition, defaultProps, schema, calculateMetadata | parameters.md |
Sequence, Series, Loop, AbsoluteFill, Freeze | sequencing.md |
useCurrentFrame, interpolate, spring, Easing, interpolateColors | timing.md |
Audio, Video, Img, IFrame, staticFile, delayRender | media.md |
TransitionSeries, @remotion/transitions | transitions.md |
@remotion/lottie | lottie.md |
@remotion/google-fonts/<Family>, Font.loadFont, @font-face | fonts.md |
Don't load all of them — load only what the specific source needs.
Step 3: Generate the HF composition
Emit index.html with:
- Root
<div id="stage">carrying the composition'sdata-composition-id,data-start="0",data-duration(in seconds),data-fps,data-width,data-height, plus onedata-*per scalar prop. - A flat list of scene divs with
data-start/data-duration/data-track-index. - Inline
<style>for layout; CSS sets thefromstate of every animated property. - A single
<script>tag at the bottom containing one pausedgsap.timeline({paused: true}). Every RemotionuseCurrentFrame()derivation becomes a tween on this timeline at the right offset. window.__timelines["<composition-id>"] = tl;registers the timeline with HF's runtime.
Custom React subcomponents inline as repeated HTML using the prop interface as the template (see parameters.md for the per-instance data-* pattern).
Step 4: Validate
Run the eval harness — references/eval.md for the full guide. Quick path:
# Render Remotion baseline (after npm install in the fixture)
cd remotion-src && npx remotion render <CompositionId> out/baseline.mp4
# Render HF translation
cd ../hf-src && npx hyperframes render --output ../hf.mp4
# SSIM diff
../../scripts/render_diff.sh ./remotion-src/out/baseline.mp4 ./hf.mp4 ./diff
Threshold: ~0.02 below p05 of the source's complexity tier (see eval.md's validated thresholds table). If the diff fails, run scripts/frame_strip.sh to see which frames diverged, then re-read the relevant timing/sequencing/media reference.
Critical: both renders must use matching pixel format. Set Config.setVideoImageFormat("png") + Config.setColorSpace("bt709") in the Remotion source's remotion.config.ts — otherwise the diff measures encoder differences (~0.05 SSIM hit), not translation fidelity.
Step 5: Document gaps
Anything that didn't translate cleanly (volume ramps dropped, custom presentations approximated, fonts substituted) gets a TRANSLATION_NOTES.md written next to the HF output. See references/limitations.md for the format.
What this skill explicitly does NOT do
- Translate React state machines. Compositions that drive animation via
useState+useEffectare not deterministic frame-capture targets in HyperFrames' seek-driven model. Recommend the runtime interop pattern. - Run Remotion's render pipeline alongside HyperFrames. That's the runtime interop pattern from PR #214 — a separate solution for compositions that fail this skill's lint.
(@remotion/lambda is not a blocker — Lambda config is deployment, not animation. The skill drops it as a warning and translates the rest. See references/escape-hatch.md.)
How to grade your own translation
Run the test corpus orchestrator:
./assets/test-corpus/run.sh
It runs T1, T2, T3 (render + diff) and T4 (lint validation), prints a per-tier pass/fail table, and emits an aggregate JSON report. Use this to verify the skill is working end-to-end on a clean checkout — and as a regression check after editing any reference.
Validated baseline (as of 2026-04-27):
| Tier | Composition shape | Mean SSIM | Threshold |
|---|---|---|---|
| T1 | single-element fade-in | 0.974 | 0.95 |
| T2 | multi-scene + spring + audio + image | 0.985 | 0.95 |
| T3 | data-driven, custom subcomponents, count-up | 0.953 | 0.90 |
| T4 | escape-hatch (8 lint cases) | 8/8 pass | n/a |