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Optimizing Kling AI video generation v1.0.0

Use this resource to optimize the speed, quality and cost of Kling AI generations

New

  • 561 downloads
  • 242 likes
  • 173 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install kling-ai-generation-tuning

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 models and modes by speed, quality and credits used, then adjusts connections, caching and prompt wording. You get a settings table and a tool to measure generation times.

Mostly picked by

Updated November 2, 2026

Card for the “Optimizing Kling AI video generation” skill

Details

Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md : speed and quality matrix, measurement tool and prompt examples
  • references/optimization-strategies.md : optimization strategies
  • references/caching-layer.md : caching layer

Good fit for

  • Your video generations take too long
  • You are looking for the best setting between draft and final render

Not for

    Tags

    • kling ai
    • video
    • performance

    About

    You say

    “Find the fastest Kling AI setting for five-second drafts.”

    Card for the “Optimizing Kling AI video generation” 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 optimize the speed, quality and cost of Kling AI generations
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • references/caching-layer.md2.4 KB
    • references/errors.md0.4 KB
    • references/examples.md0.2 KB
    • references/optimization-strategies.md2.2 KB
    • references/performance-profiler.md7.3 KB
    • SKILL.md7.3 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-performance-tuning
    Licence
    MIT

    Notice

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

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