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Diagnosing CAST AI failures on a cluster v1.0.0

Use this resource to diagnose a CAST AI failure on a Kubernetes cluster

New

  • 525 downloads
  • 143 likes
  • 139 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install cast-ai-autoscaling-triage

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 freezes the symptom, checks installation health, classifies the failure (observation, connectivity, policy, capacity or disruption) and tests one hypothesis at a time. You get the owner of the fix and the proposed remedy.

Mostly picked by

Updated November 2, 2026

Card for the “Diagnosing CAST AI failures on a cluster” skill

Details

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

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What you get

  • SKILL.md: five-step triage method
  • references/official-docs.md: official reference documentation

Good fit for

  • Your cluster shows as disconnected in CAST AI
  • Nodes do not scale as expected

Not for

    Tags

    • cast ai
    • kubernetes
    • autoscaling
    • diagnostics

    About

    You say

    “My cluster has been disconnected from CAST AI since yesterday, help me find the cause without changing anything.”

    Card for the “Diagnosing CAST AI failures on a cluster” 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 diagnose a CAST AI failure on a Kubernetes cluster
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • references/official-docs.md0.9 KB
    • SKILL.md5.4 KB

    Origin and licence

    Listed unmodified

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

    Notice

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

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