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Kling AI reference architecture v1.0.0

Use this resource to design a large-scale video generation platform on Kling AI

New

  • 584 downloads
  • 240 likes
  • 133 saves

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Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install video-generation-platform-architecture

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 designs the production system around Kling AI: gateway, Redis or SQS queue, workers calling the API, results received by webhook or polling, then storage and monitoring. You get a diagram, scaling rules and a deployment setup.

Mostly picked by

Updated November 2, 2026

Card for the “Kling AI reference architecture” skill

Details

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

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What you get

  • SKILL.md: architecture diagram, components and concurrency limits
  • references/: full code, Docker Compose, Kubernetes, errors and examples

Good fit for

  • You want to offer video generation at scale
  • You need to size workers and job queues

Not for

    Tags

    • kling ai
    • video generation
    • job queue
    • workers
    • architecture

    About

    You say

    “Design a platform that generates several hundred product videos a day with Kling AI.”

    Card for the “Kling AI reference architecture” 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 design a large-scale video generation platform on Kling AI
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.6 KB
    • references/architecture-patterns.md5.1 KB
    • references/complete-reference-implementation.md6.2 KB
    • references/docker-compose-setup.md0.8 KB
    • references/errors.md0.4 KB
    • references/examples.md0.2 KB
    • references/kubernetes-deployment.md1.8 KB
    • SKILL.md8.7 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-reference-architecture
    Licence
    MIT

    Notice

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

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