Skill v1.0.0
Automated scan100/100version: "1.0.0" name: remotion-to-hyperframes description: Translate a Remotion (React-based) video composition into a HyperFrames HTML composition. Use when (1) the user provides Remotion source (.tsx files using useCurrentFrame, Sequence, AbsoluteFill, interpolate, spring, staticFile, etc.) and asks to port, convert, or migrate it to HyperFrames; (2) the user pastes a Remotion entry point (Root.tsx, Composition) and wants HTML; (3) the user links a Remotion repo and asks for the HyperFrames equivalent; (4) the user says "port my Remotion project", "translate this Remotion code", "rewrite as HTML", or "I have a Remotion comp, make it HyperFrames". Skill detects unsupported patterns (useState, useEffect with side effects, async calculateMetadata, third-party React component libraries, @remotion/lambda features) and recommends the runtime interop escape hatch instead of attempting a lossy translation.
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 translationcd ../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 |