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CAST AI reference architecture v1.0.0

Use this resource to map the CAST AI architecture of your estate

New

  • 391 downloads
  • 248 likes
  • 141 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install cast-ai-architecture-review

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 maps the trust zones, in-cluster components, control paths and cloud permissions of your installation. You get a diagram specific to your estate, with failure and rollback paths.

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Updated November 2, 2026

Card for the “CAST AI reference architecture” skill

Details

Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: trust zones, components and control paths
  • references/official-docs.md: official reference documentation

Good fit for

  • You plan a rollout across several clusters
  • You need to know who changes your node configuration

Not for

    Tags

    • cast ai
    • kubernetes
    • architecture

    About

    You say

    “Map the CAST AI architecture of our three clusters in read-only mode.”

    Card for the “CAST AI reference architecture” skill

    Skill published by Jeremy Longshore <jeremy@intentsolutions.io> under the MIT license, delivered in its original version.

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    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to map the CAST AI architecture of your estate
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.6 KB
    • references/official-docs.md1 KB
    • SKILL.md4.7 KB

    Origin and licence

    Listed unmodified

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

    Notice

    « castai-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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