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Multi-scene beauty demo assembly v1.0.0

Use this resource to assemble a multi-scene beauty demo from a configuration

New

  • 564 downloads
  • 186 likes
  • 210 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install assemble-beauty-grwm-demo

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, deterministic assembly step: the agent times each scene to the voiceover's words, adds product cards, mixes the voice over a low music bed, captions the video and ends on a flat-lay image. The creator, voice and cards come from separate steps.

Mostly picked by

Updated November 2, 2026

Card for the “Multi-scene beauty demo 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 present a routine of several beauty products
  • You have a voiceover and a creator to cut to the words

Not for

    Tags

    • beauty
    • GRWM
    • editing
    • product demo

    About

    You say

    “Edit the beauty demo of our five-product routine with the existing voiceover.”

    Card for the “Multi-scene beauty demo 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 multi-scene beauty demo from a configuration
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • scripts/config.example.json13 KB
    • scripts/PIPELINE.md6.6 KB
    • scripts/README.md3.4 KB
    • SKILL.md6.4 KB
    • skill.meta.json0.2 KB
    • tests/smoke-test.md1.5 KB

    Origin and licence

    Listed unmodified

    Author
    gooseworks-ai
    Source
    github.com/gooseworks-ai/goose-skills/tree/1add09bd8e0d057e91e25c96b9282498e2fcb2a2/skills/video/render-glassy-matte-grwm
    Licence
    MIT

    Notice

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

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