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Configure gradient clipping v1.0.0

Use this resource to set up gradient clipping to stabilize a training run

New

  • 350 downloads
  • 166 likes
  • 160 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install gradient-clipping-configuration

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 choosing a clipping threshold and adding it to the training loop, then provides the matching code. You get a configuration to test on your model.

Mostly picked by

Updated November 2, 2026

Card for the “Configure gradient clipping” skill

Details

Generates with
Your agent's model
Licence
MIT

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What you get

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

Good fit for

  • Your training diverges or produces NaN losses
  • You want to stabilize a deep model

Not for

    Tags

    • gradient
    • clipping
    • training
    • stability
    • deep learning

    About

    You say

    “Add gradient clipping to my training loop so the losses stop blowing up.”

    Card for the “Configure gradient clipping” 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 set up gradient clipping to stabilize a training run
    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/gradient-clipping-helper
    Licence
    MIT

    Notice

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

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