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Generate and retouch videos with Luma Ray v1.0.0

Use this resource to generate, restyle or reframe videos with Luma Ray models

New

  • 408 downloads
  • 201 likes
  • 179 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install luma-ray-video-generation

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

The agent picks the Luma member for the mode (generation, restyling, reframing or budget edits), then sets the edit strength. It describes motion rather than adjectives. You get a 9:16 shot reframed from a 16:9 video.

Mostly picked by

Updated November 2, 2026

Card for the “Generate and retouch videos with Luma Ray” skill

Details

Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: four members and the strength scale
  • SKILL.md: motion prompts rather than adjectives
  • SKILL.md: 16:9 to 9:16 reframing example

Good fit for

  • You want to repost a horizontal shot in vertical
  • You are making a seamless video loop

Not for

    Tags

    • luma
    • ray
    • reframing
    • video

    About

    You say

    “Reframe this 16:9 shot to 9:16 by extending the edges.”

    Card for the “Generate and retouch videos with Luma Ray” skill

    Skill published by scenario-labs 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 generate, restyle or reframe videos with Luma Ray models
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md6.2 KB

    Origin and licence

    Listed unmodified

    Author
    scenario-labs
    Source
    github.com/scenario-labs/skills/tree/d44410f058991f677ccf733a8e86ce95110857eb/skills/scenario-luma-video
    Licence
    MIT

    Notice

    « scenario-luma-video » (scenario-labs, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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