Assemble a wordless macro-tabletop food-product sizzle ad from a config — normalize fps and SAR across ~4 photorealistic macro clips (hands tearing, flat lay, bite, box hero), concat them, apply a global anti-AI grain pass (eq plus hqdn3d plus noise), composite the audio (a non-diegetic acoustic music bed plus a couple of short diegetic SFX like a snap and a tear placed at measured cue points, loudnorm), composite a STATIC end card entirely in PIL (real logo PNG plus real product PNG plus a serif heritage headline plus a CTA — never AI-rendered text), and burn optional serif stat-callout pills at beats. This is the FREE deterministic assembly stage (normalized concat plus grain plus music and SFX mix plus PIL end card plus callouts); the macro keyframes, i2v clips, and music bed come from create-image-fal, create-video-fal, and create-music-elevenlabs. Use for the food-product-sizzle format.
65
78%
Does it follow best practices?
Run evals on this skill
Adds up to 20 points to the overall score
View guide
Passed
No findings from the security scan
Fix and improve this skill with Tessl
tessl review fix ./skills/ads/capabilities/render-food-product-sizzle/SKILL.mdAssemble a food-product sizzle ad from a config: a wordless macro-tabletop photorealistic sizzle for a physical food / CPG product — tactile sunlit tabletop photography in a warm tungsten kitchen register, ~4 dynamic macro scenes (hands tearing, a flat lay, a partial-face bite, a box / pack hero) flowing into a static end card, carried by a non-diegetic acoustic music bed + a few diegetic SFX with NO voiceover. This capability is the FREE, deterministic assembly — normalized concat, the anti-AI grain pass, the audio (music bed + SFX) composite, the PIL end card, and the optional serif stat-callout pills.
scripts/config.example.json is the worked example (Lineage Provisions "Beef Sticks Sizzle", ~14s
1080×1920 9:16, ~4 macro scenes + a static end card); scripts/PIPELINE.md maps every config block
to its source step and scripts/README.md documents the free assembly.
This is the FREE, deterministic assembly stage — it spends nothing. The paid inputs are separate
capabilities: ~4 photographic macro keyframes (create-image-fal, Nano Banana; the box / pack hero
grounds on the real product PNG); one locked-off, anti-shake i2v clip per keyframe (create-video-fal,
Seedance); and a non-diegetic acoustic / bluegrass bed (create-music-elevenlabs). Given the ~4
clips + the music bed + the diegetic SFX + the real logo PNG + the real product PNG,
render-food-product-sizzle normalizes fps / SAR, concats the body clips, applies the anti-AI grain
pass, composites the audio (bed + SFX at their cue points), composites the static PIL end card, burns
the optional serif callout pills, and muxes → the master. Re-cuts reuse the existing keyframes /
clips / music and cost $0.
eq=contrast=1.06:saturation=0.93,hqdn3d=1.5:1.5:3:3,noise=alls=8:allf=t+u
across the whole video — the noise on a food macro is load-bearing for the tactile / photographic
read, otherwise the sizzle looks AI-smooth.·).% string to a textfile and use ffmpeg drawtext textfile= +
expansion=none — a raw % is read as a strftime spec and renders garbage.loudnorm → a
1080×1920 h264+aac master (~14s). No paid calls, no keys.8866b2a
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.