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Render Food Product Sizzle Agent Skill

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.

7k tokens
context cost
the whole folder, loaded on every use
6
files
ships runnable scripts
0
copies elsewhere
how many repositories repackaged it
1086
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/gooseworks-ai/goose-skills --skill render-food-product-sizzle

What comes with it

21 284 bytes besides the instruction
scripts/PIPELINE.md
scripts/README.md
scripts/config.example.json
skill.meta.json
tests/smoke-test.md

The instruction itself

3 sections, as written by the author

render-food-product-sizzle

Assemble 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.

Run

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.

Contract (the free assembly)

  • Wordless — the music bed is the audio, no VO. A non-diegetic acoustic bed (no vocals) IS the

bed; do not add a spoken voiceover. The brand name + claim land on the STATIC end card, never in

the body.

  • ~4 macro scenes, concat in order. Normalize fps / SAR across the body clips and concat them in

their scene order (tear → flat-lay → bite → box-hero by default); the box / pack hero shows the

REAL label (grounded on the product PNG upstream — the assembly must not re-render it).

  • Anti-AI grain pass, applied globally. Apply 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.

  • Diegetic SFX on the tactile beats. Mix a crisp ~120ms snap on the fiber tear and a ~180ms tear

on the box-open at their measured cue points — a couple of short hits, not a wall of sound. Time

each to its beat, not a round number.

  • Music bed with no sparse intro. The supplied / generated bed opens sparse — the upstream step

trims the ~2.5s intro so it kicks in from frame 0; the assembly loudnorms + fades in / out to the

master length.

  • Static end card via PIL from the real logo + product PNG — never AI-render brand text. Solid /

ivory bg + the real logo PNG (upper third) + the real product PNG (centered, soft shadow) + a serif

heritage headline + a CTA, held ~3s WITH the music still playing under it (fade the tail — no silent

tail). A diffusion model garbles a wordmark and the packaging. On macOS pick a serif with the

middle-dot glyph (use · ).

  • Optional serif stat-callout pills at beats. Ivory-or-brand-color pill + serif type at

choreographed windows. Write any % string to a textfile and use ffmpeg drawtext textfile= +

expansion=none — a raw % is read as a strftime spec and renders garbage.

  • FFmpeg composite, deterministic, FREE. Concat the body clips, grain-pass, composite the audio

(bed + SFX), append the PIL end card, burn the callouts, mux with a fade tail, loudnorm → a

1080×1920 h264+aac master (~14s). No paid calls, no keys.

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How to use it

Copy the folder

Take gooseworks-ai/render-food-product-sizzle from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

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