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Food product sizzle video assembly v1.0.0

Use this resource to assemble a wordless food product video from a configuration

New

  • 543 downloads
  • 111 likes
  • 118 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install assemble-food-product-sizzle

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

Free editing step: the agent joins four photorealistic tabletop close-ups, applies a uniform grain, mixes an instrumental music bed with a few sound effects placed at the right moments, then adds a static end card. The logo, product and headline are real images, never generated.

Mostly picked by

Updated November 2, 2026

Card for the “Food product sizzle video assembly” skill

Details

Works in
Install guides
Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: choices, run steps and assembly contract
  • scripts/config.example.json: example configuration
  • scripts/PIPELINE.md: step order

Good fit for

  • You sell a food product and want a video with no voice
  • You want to highlight a heritage or a recipe

Not for

    Tags

    • food product
    • close-up
    • editing
    • product video

    About

    You say

    “Edit the wordless video of our biscuits, with close-ups and a logo end card.”

    Card for the “Food product sizzle video assembly” skill

    Skill published by gooseworks-ai under the MIT license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to assemble a wordless food product video from a configuration
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • scripts/config.example.json11.1 KB
    • scripts/PIPELINE.md5.3 KB
    • scripts/README.md3.3 KB
    • SKILL.md5.7 KB
    • skill.meta.json0.2 KB
    • tests/smoke-test.md1.6 KB

    Origin and licence

    Listed unmodified

    Author
    gooseworks-ai
    Source
    github.com/gooseworks-ai/goose-skills/tree/1add09bd8e0d057e91e25c96b9282498e2fcb2a2/skills/video/render-food-product-sizzle
    Licence
    MIT

    Notice

    « render-food-product-sizzle » (gooseworks-ai, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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