FreeSkills
Commits, branches and sync with the but CLI
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- Claude Code
- Codex
- Cursor
- and 3 more
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Use this resource to train, evaluate and tune scikit-learn, PyTorch or TensorFlow models
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Free
In a terminal, from the folder you want:
npx --yes palatekit@latest install ml-model-training-workflowWith 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 loginThe agent prepares the data with a 70/15/15 split and feature scaling, trains the model with the chosen framework, then evaluates the results. You get a reproducible training pipeline and leads on overfitting.
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Updated November 2, 2026
You say
“Train a classifier on this CSV, with a 70/15/15 split and validation metrics.”

Skill published by secondsky under the MIT license, delivered in its original version.
Listed unmodified
« ml-model-training » (secondsky, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.
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