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Configure a Vertex AI endpoint v1.0.0

Use this resource to configure a Vertex AI endpoint that serves a model

New

  • 396 downloads
  • 141 likes
  • 205 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install vertex-ai-endpoint-setup

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 walks you through creating and setting up a Vertex AI endpoint: deployed model, machines and serving options. You get a configuration ready to test.

Mostly picked by

Updated November 2, 2026

Card for the “Configure a Vertex AI endpoint” skill

Details

Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: setup steps and examples
  • SKILL.md: prerequisites, expected outputs and common errors

Good fit for

  • You need to expose a trained model to an application
  • You want to tune the machines that serve a model

Not for

    Tags

    • vertex ai
    • google cloud
    • deployment
    • model
    • endpoint

    About

    You say

    “Configure a Vertex AI endpoint for my classification model, with two replicas.”

    Card for the “Configure a Vertex AI endpoint” 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 configure a Vertex AI endpoint that serves a model
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.6 KB
    • SKILL.md2.3 KB

    Origin and licence

    Listed unmodified

    Author
    Jeremy Longshore <jeremy@intentsolutions.io>
    Source
    github.com/jeremylongshore/tons-of-skills-marketplace/tree/ab85a061f7bcc039dac13ee193de7a4cd4388571/skills/14-gcp-skills/vertex-ai-endpoint-config
    Licence
    MIT

    Notice

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

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