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Choosing a Kling AI model v1.0.0

Use this resource to choose the Kling AI model that fits your generation

New

  • 433 downloads
  • 219 likes
  • 233 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install kling-ai-model-selection-guide

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 compares Kling AI video and image models on duration, resolution, speed and quality, then follows a decision tree. It also gives the call parameters to use. You get a justified model choice for your project.

Mostly picked by

Updated November 2, 2026

Card for the “Choosing a Kling AI model” skill

Details

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

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What you get

  • SKILL.md: model overview and decision tree
  • references/available-models.md: table of models, durations and resolutions

Good fit for

  • You must choose between fast generation and maximum quality
  • You want to know which model supports native audio

Not for

    Tags

    • kling ai
    • models
    • video
    • image

    About

    You say

    “Which Kling AI model should I use for a 10-second 1080p video, fast and not too expensive?”

    Card for the “Choosing a Kling AI model” skill

    Skill published by Jeremy Longshore <jeremy@intentsolutions.io> 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 choose the Kling AI model that fits your generation
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • references/available-models.md1.2 KB
    • references/errors.md0.5 KB
    • references/examples.md0.2 KB
    • references/generation-types.md1.5 KB
    • references/model-selection-logic.md0.8 KB
    • SKILL.md7.2 KB

    Origin and licence

    Listed unmodified

    Author
    Jeremy Longshore <jeremy@intentsolutions.io>
    Source
    github.com/jeremylongshore/tons-of-skills-marketplace/tree/ab85a061f7bcc039dac13ee193de7a4cd4388571/skills/.curated/klingai-model-catalog
    Licence
    MIT

    Notice

    « klingai-model-catalog » (Jeremy Longshore <jeremy@intentsolutions.io>, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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