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Get Started Free →gooseworks-ai/render-vo-anchored-motion-listicle
Assemble an expert/educator motion-graphic LISTICLE video ad from a config — a spoken authoritative voiceover carries a numbered listicle while N web-animated hyperframe beats (HTML plus the Web Animations API, one branded design system of alternating tiles, big hero numerals, and glass-pill callouts) are rendered frame-by-frame via Playwright and anchored to the VO's word-level timestamps, periodic color-graded B-roll windows give visual breath, and captions burn ONLY inside those B-roll window
Passed 19 of 22 test cases with the skill, and 10 of 22 without it.
and 14 more in the full report
9 fixed10 passed either way3 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
This benchmark measured an earlier version of the skill.
One of 9 test cases the skill fixed. Same model, same prompt, with and without the skill.
What component acts as the baseline spine that defines the timing offsets and reveal anchors for all motion graphic beats?
| Checked | Without skill | With skill |
|---|---|---|
| Designates word-level timestamps from the voiceover track as the master timeline spine | Missed | Passed |
The instructions your model reads when the skill loads.
Assemble a narrated motion-graphic listicle ad from a config: a spoken voiceover carries a numbered listicle (hook + N points + CTA) and every visual beat is anchored to
the VO's word-level timestamps. Each beat is a web-animated hyperframe (an HTML page + the Web
Animations API driven by window.renderAt(t)) rendered to video frame-by-frame with Playwright, all
in ONE branded design system (alternating background tiles, big hero numerals, body type, decorative
accents, callouts). Optional color-graded breather windows give visual breath, and
captions burn only on the B-roll windows. The shipped master is pure motion-graphic + VO — there
is NO lipsync (the still headshot is kept only for a future lipsync variant). This capability
is the FREE, deterministic assembly — the Playwright beat render, the ffmpeg concat, the
window-masked caption burn, the VO+music mix, and the final composite.
scripts/config.example.json is the worked example (Everself "doctor-educator" listicle, ~66s
1080×1920 9:16 at 25fps) — copy its structure, never its creative values; scripts/PIPELINE.md maps every config block to its source step and
scripts/README.md documents the free assembly.
The creative calls are made upstream (the format recipe's choices, asked of the user) and arrive in
the config; this assembly just renders what it is given. The demo's values are examples only.
voice.mode / voice.voice_id.
The demo used a cloned doctor-educator.beats[].
The demo used expert tips with mistake → fix beats.design.name / callout_style /
accents / background_tiles. The demo used EDUCATOR_MOTION with glass-pill callouts.music.prompt (none = mix the VO alone). The demo used a warm lo-fi
bed at ~0.18.This is the FREE, deterministic assembly stage — it spends nothing. The paid inputs are separate
capabilities — the spoken VO (create-vo-elevenlabs, a cloned or cast voice, eleven_v3 +
atempo) whose word-level timestamps (Groq whisper-large-v3 word-level) set the timeline; the low
music bed (create-music-elevenlabs); and any AI breather clips (create-video-fal, trimmed +
color-graded; brand clips and motion-graphic breathers are free). There is no free stock-footage
source.
Given the VO + words-flat.json + the N authored hyperframe beats + the color-graded B-roll windows +
test cases passed, vs 10 / 22 without
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