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Kling AI asynchronous video generation pipelines v1.0.0

Use this resource to build asynchronous video generation pipelines with Kling AI

New

  • 438 downloads
  • 165 likes
  • 233 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install klingai-async-video-pipeline

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 sets up Kling AI task submission with callbacks instead of polling, a Redis queue, a state machine and a multi-step pipeline triggered by the webhook. You get video generation that scales.

Mostly picked by

Updated November 2, 2026

Card for the “Kling AI asynchronous video generation pipelines” skill

Details

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

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What you get

  • SKILL.md : submission, queue, state machine and pipeline patterns
  • references/redis-queue-integration.md : Redis integration
  • references/workflow-state-machine.md : state machine model

Good fit for

  • You generate many videos and polling slows your application
  • Your generation runs through several chained steps

Not for

    Tags

    • kling ai
    • video
    • queue
    • state machine

    About

    You say

    “Set up a queue to generate Kling AI videos for our catalog, with a callback when each task finishes.”

    Card for the “Kling AI asynchronous video generation pipelines” 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 build asynchronous video generation pipelines with Kling AI
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • references/errors.md0.4 KB
    • references/examples.md0.2 KB
    • references/redis-queue-integration.md2.9 KB
    • references/workflow-implementation.md3.8 KB
    • references/workflow-state-machine.md3.5 KB
    • SKILL.md8.1 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-async-workflows
    Licence
    MIT

    Notice

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

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