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Local-to-GPU canary loop on Vast.ai v1.0.0

Use this resource to iterate on GPU code by testing locally first, then on a Vast.ai canary

New

  • 558 downloads
  • 122 likes
  • 200 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install vastai-local-to-gpu-canary

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 defines the local contract, runs tests without a GPU, publishes an immutable image and rents the smallest useful resource to compare GPU behavior. You get a fast loop that leaves no machine running.

Mostly picked by

Updated November 2, 2026

Card for the “Local-to-GPU canary loop on Vast.ai” skill

Details

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

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What you get

  • SKILL.md: local contract, tests and image publishing
  • references/official-docs.md: links to Vast.ai documentation

Good fit for

  • You edit Vast.ai startup scripts and wait too long for feedback
  • You test GPU training without paying for a machine around the clock

Not for

    Tags

    • vast.ai
    • gpu
    • canary
    • local development

    About

    You say

    “Set up a loop that tests my training locally, then on a GPU canary.”

    Card for the “Local-to-GPU canary loop on Vast.ai” 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 iterate on GPU code by testing locally first, then on a Vast.ai canary
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • references/official-docs.md1.3 KB
    • SKILL.md4 KB

    Origin and licence

    Listed unmodified

    Author
    Jeremy Longshore <jeremy@intentsolutions.io>
    Source
    github.com/jeremylongshore/tons-of-skills-marketplace/tree/ab85a061f7bcc039dac13ee193de7a4cd4388571/skills/.curated/vastai-local-dev-loop
    Licence
    MIT

    Notice

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

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