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Manage model checkpoints v1.0.0

Use this resource to save and resume model checkpoints during training

New

  • 359 downloads
  • 230 likes
  • 178 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install model-checkpoint-management

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 saving checkpoints during training, choosing which ones to keep and resuming an interrupted run. You get the matching save and load code.

Mostly picked by

Updated November 2, 2026

Card for the “Manage model checkpoints” skill

Details

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

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What you get

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

Good fit for

  • A long training run may be interrupted
  • You want to keep only the best checkpoints

Not for

    Tags

    • checkpoint
    • training
    • saving
    • resume
    • model

    About

    You say

    “Save the best checkpoint by validation loss and make training resumable.”

    Card for the “Manage model checkpoints” 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 save and resume model checkpoints during training
    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/07-ml-training/model-checkpoint-manager
    Licence
    MIT

    Notice

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

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