Render Food Product Sizzle logo

Render Food Product Sizzle

OrganizationPopular
gooseworks-ai
render-food-product-sizzle

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.

Overview

Publishergooseworks-ai
Repositorygoose-skills
Skill namerender-food-product-sizzle
Stars
1.2K
Forks
208
Bundled files
4
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 4 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by gooseworks-ai on GitHub. Read the source before you install it.

Installation

Install the Render Food Product Sizzle AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git /tmp/goose-skills
mkdir -p .claude/skills
cp -r /tmp/goose-skills/skills/ads/capabilities/render-food-product-sizzle .claude/skills/render-food-product-sizzle
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Render Food Product Sizzle in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Render Food Product Sizzle on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Render Food Product Sizzle is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Render Food Product Sizzle AI skill do?

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 pi...

Why use Render Food Product Sizzle on TypingMind?

Because you install it once and use it with any model. Render Food Product Sizzle is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Render Food Product Sizzle in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/render-food-product-sizzle. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Render Food Product Sizzle?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Render Food Product Sizzle?

As many as you like. As long as a model supports skills, you can use Render Food Product Sizzle with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Render Food Product Sizzle AI skill free?

Yes. It is published on GitHub by gooseworks-ai under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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