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Build the deterministic PIL pill overlays for a 'perfect-score + proof-points' UGC video ad (white 10/10 score header with a medal + orange sub with a finger-down + 3-4 green-check proof pills) and composite them onto a base clip in a diagonal L->R->L->R cascade, then mux the music bed into master-final.mp4. Config-driven (config.json), 1080x1920 9:16, FREE and deterministic (no paid calls, text stays pixel-crisp).
Passed 19 of 22 test cases with the skill, and 3 of 22 without it.
and 24 more in the full report
17 fixed3 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 16 test cases the skill fixed. Same model, same prompt, with and without the skill.
What are the background color and trailing emoji assignments for both the primary headline score pill and secondary subhead pill?
| Checked | Without skill | With skill |
|---|---|---|
| Pairs white background header pill with trailing medal icon 1f3c5. | Missed | Passed |
| Pairs orange background subhead pill with trailing finger-down icon 1f447. | Missed | Passed |
The instructions your model reads when the skill loads.
Build the deterministic PIL/FFmpeg overlays for the "Instagram comparison-tool reviewer" UGC ad — a white "we got a perfect 10/10 score" headline pill (trailing medal), an orange "but here's also why you'll love us" sub pill (trailing finger-down, width-matched to the header), and 3-4 green-check proof pills — then composite them onto a base clip in the format's signature diagonal cascade and mux the music into the master. FREE and deterministic: the pills are PIL-rendered so the score, checks, and wordmark stay pixel-crisp (a video model would smear type). The base clip (create-image-fal keyframe -> create-video-fal i2v) and the music bed (create-music-elevenlabs) come from separate paid capabilities; this one only does the free rendering.
fetch_icons.py --run-dir ; build_overlays.py --config config.json --out-dir /generated/overlays ; compose_master.py --config config.json --run-dir — reads /generated/clip-handheld.mp4 + generated/music-bed.m4a, writes /master-final.mp4. 1080x1920, deterministic, $0. (Add --no-music to compose for a silent design preview.)
fetch_icons.py — downloads the three Twemoji PNGs (medal 1f3c5, finger-down 1f447, check 2705) to <run>/assets/icons. PIL cannot render Apple Color Emoji, so pills paste Twemoji PNGs. Free, local.build_overlays.py — PIL: renders the white score header (trailing medal), the orange subhead (trailing finger-down, width-matched to the header), and N green-check proof pills auto-sized to their copy. Bold weight and icon-centered-on-pill-middle are load-bearing.compose_master.py — FFmpeg: scale/crop the base clip to 1080x1920@30, composite the always-on headers, cascade the proof pills (each enable='gte(t,T)' on its own alternating LEFT/RIGHT row), mux the music, apply the anti-AI grain pass, re-encode crf23/maxrate12M -> master-final.mp4.config.json (overlays, layout, duration_sec, optional music/post_production); the template recipe supplies the config from recipe.config.build_overlays.py before compose_master.py — the compositor reads pre-rendered PNGs and silently reuses stale ones on a copy change.Pillow + ffmpeg. No API keys.overlays.header.lines, overlays.subhead.lines, overlays.proof_points) is per brand and must be the brand's own approved claims; build_overlays.py exits with a clear message if any of it is empty (the template recipe ships it empty, with overlays._example_content as the shape).This atom renders no people, setting or music. The template's creative choices (whose hand, the setting, the music style) are asked of the user by the recipe and go to the paid keyframe / i2v / music capabilities; this atom only composites the pills over whatever base clip and music bed it is given.
test cases passed, vs 3 / 22 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.