Vibe-Skills training-machine-learning-models

install

source · Clone the upstream repo

git clone https://github.com/foryourhealth111-pixel/Vibe-Skills

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/foryourhealth111-pixel/Vibe-Skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/bundled/skills/training-machine-learning-models" ~/.claude/skills/foryourhealth111-pixel-vibe-skills-training-machine-learning-models && rm -rf "$T"

manifest: bundled/skills/training-machine-learning-models/SKILL.md

Ml Model Trainer

Use this skill when the user wants to fit a model, choose algorithms, and produce a trained artifact.

Overview

This skill owns the training loop: selecting candidate models, fitting them with a validation strategy, and producing reusable model outputs.

When to Use This Skill

Training a classifier or regressor from prepared data
Selecting among candidate algorithms and hyperparameters
Saving a model, pipeline, or reproducible training recipe

Not For / Boundaries

Metric selection and benchmark comparison alone: use
```
evaluating-machine-learning-models
```
Feature creation or transformation strategy alone: use
```
engineering-features-for-machine-learning
```
Train/test contamination review: use
```
ml-data-leakage-guard
```

Typical Outputs

Training plan and candidate model shortlist
Fitted model or pipeline artifacts
Notes on validation strategy and handoff to evaluation/reporting

Related Skills

```
evaluating-machine-learning-models
```
after fitting
```
ml-data-leakage-guard
```
before trusting the result