vo-sync
Skill1 starsChanged 4 months agoMITView on GitHub
Sync an animation, captions, or cues to a voiceover so visuals land on the spoken words, and pace the timeline tightly to the narration (no dead air). Use when you have (or will generate) a voiceover and want cards/elements/captions to appear exactly when they're mentioned, when card raises feel out of sync with the narration, or when there are long voice-less gaps to tighten. Generates VO with word-level timestamps (ElevenLabs) and computes per-scene durations + cue times from them. Triggers: "sync the voiceover with the animation", "make the cards appear when the voice says it", "the VO is out of sync", "tighten the pacing / remove silent gaps", "land captions on the spoken word", "word-timestamp sync".
In this repository16 other files it gives its agents.
- aesthetic-presetsSkill
- audio-stemsSkill
- backgrounds-gradientsSkill
- element-motionSkill
- explainer-videoSkill
- glass-cardsSkill
- kinetic-typographySkill
- mark-driven-groundSkill
- motion-graphicsSkill
- product-motionSkill
- scene-transitionsSkill
- smooth-renderSkill
- text-motionSkill
- travelling-markSkill
- ui-data-motionSkill
- walkthrough-filmSkill
The file
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1 rule. About 0 are common, 1 is distinctive, and 0 are very specific to this project.
≈0
Common · estimate
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≈1
Distinctive · estimate
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0
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- Common
- Distinctive
- Very specific
- Distinctive: line 28
Spread: when you can't name every item: anchor named ones, interpolate the rest between anchors.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
VO Sync
Make the visuals follow the voice: each cue (a card raising, a caption, a sound) lands on the word that names it, and each scene lasts about as long as its narration — so the piece is tight with no silent stretches.
How it works
- Write VO that names things in appear-order, then generate it with word timestamps:
python3 scripts/elevenlabs.py tts script.json vo --voice <id>→ clips +vo/durations.json+vo/alignments.json(per-character start times). (script.json=[{"id":"scene1","text":"…"}, …].) - Compute timing: edit the
CONFIG(scene order + cue→keyword) inscripts/compute_timing.jsand run it →timing.json={ total, head, scenes:[{id,start,dur,cues:[{key,at}]}] }.durfollows the VO length;atishead + word time. - Feed your engine
timing.json(read it at boot via atiming.jswindow.__TIMING=…, orfetch): usedurfor scene length andatfor when each cue fires. - Build audio to the same timeline so SFX hit on the words (see the
audio-stemsskill: place each event atscene.start + at).
Key moves
- VO-driven durations (
dur = head + voLen + tail, clamped to fit the last cue/animation) → continuous narration, no dead air. - Anchor on words: a word spoken
wseconds into a clip → cueat = head + w. - Spread when you can't name every item: anchor named ones, interpolate the rest between anchors.
- Snap-to-instant: to make a whole list turn green the moment the VO says "auto-mapped," set those cues to the trigger word + tiny increments.
- Recompute + rebuild audio freely (cheap); only re-render the video once the visuals are locked — a one-word VO change shifts every downstream scene start.
See reference/VO_SYNC.md for the full workflow, the alignments.json lookup, lead/hero timing, and gotchas (spelled-out acronyms, regeneration). Other providers: any TTS works if you can get word/segment times; without timestamps, estimate at from word counts.
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