Skill · em Dados, IA e pesquisa

scikit-learn

Machine learning in Python with scikit-learn. Use when working with supervised learning (classification, regression), unsupervised learning (clustering, dimensionality reduction), model evaluation, hyperparameter tuning, preprocessing, or building ML pipelines. Provides comprehensive reference…

Procedência

Origem: davila7/claude-code-templates
Caminho: cli-tool/components/skills/scientific/scikit-learn
Versão fixada: 57f899e5394bb8ca166f38eacae8f0853cbfe033
Licença: MIT
Espelhado em 25/09/2026
4 downloads no Claude Code Templates (lido em 25/09/2026)

Antes de instalar

9 arquivos · 114,9 KB · inclui 2 scripts que executam: scripts/classification_pipeline.py, scripts/clustering_analysis.py

Instalar na sua CLI

O comando baixa a versão fixada (commit 57f899e) direto da origem, para a pasta que a CLI lê. Precisa de curl (macOS e Linux); no Windows não há comando, porque o Rook Labs é para macOS.

Claude Code

Neste projeto: instala em .claude/skills/scikit-learn/.

d=".claude/skills/scikit-learn"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/scientific/scikit-learn"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/references/model_evaluation.md" "$u/references/model_evaluation.md" \
  -o "$d/references/pipelines_and_composition.md" "$u/references/pipelines_and_composition.md" \
  -o "$d/references/preprocessing.md" "$u/references/preprocessing.md" \
  -o "$d/references/quick_reference.md" "$u/references/quick_reference.md" \
  -o "$d/references/supervised_learning.md" "$u/references/supervised_learning.md" \
  -o "$d/references/unsupervised_learning.md" "$u/references/unsupervised_learning.md" \
  -o "$d/scripts/classification_pipeline.py" "$u/scripts/classification_pipeline.py" \
  -o "$d/scripts/clustering_analysis.py" "$u/scripts/clustering_analysis.py" \
  -o "$d/LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"

Global: instala em ~/.claude/skills/scikit-learn/.

d="$HOME/.claude/skills/scikit-learn"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/scientific/scikit-learn"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/references/model_evaluation.md" "$u/references/model_evaluation.md" \
  -o "$d/references/pipelines_and_composition.md" "$u/references/pipelines_and_composition.md" \
  -o "$d/references/preprocessing.md" "$u/references/preprocessing.md" \
  -o "$d/references/quick_reference.md" "$u/references/quick_reference.md" \
  -o "$d/references/supervised_learning.md" "$u/references/supervised_learning.md" \
  -o "$d/references/unsupervised_learning.md" "$u/references/unsupervised_learning.md" \
  -o "$d/scripts/classification_pipeline.py" "$u/scripts/classification_pipeline.py" \
  -o "$d/scripts/clustering_analysis.py" "$u/scripts/clustering_analysis.py" \
  -o "$d/LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"

Codex

Neste projeto: instala em .agents/skills/scikit-learn/.

d=".agents/skills/scikit-learn"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/scientific/scikit-learn"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/references/model_evaluation.md" "$u/references/model_evaluation.md" \
  -o "$d/references/pipelines_and_composition.md" "$u/references/pipelines_and_composition.md" \
  -o "$d/references/preprocessing.md" "$u/references/preprocessing.md" \
  -o "$d/references/quick_reference.md" "$u/references/quick_reference.md" \
  -o "$d/references/supervised_learning.md" "$u/references/supervised_learning.md" \
  -o "$d/references/unsupervised_learning.md" "$u/references/unsupervised_learning.md" \
  -o "$d/scripts/classification_pipeline.py" "$u/scripts/classification_pipeline.py" \
  -o "$d/scripts/clustering_analysis.py" "$u/scripts/clustering_analysis.py" \
  -o "$d/LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"

Global: instala em ~/.agents/skills/scikit-learn/.

d="$HOME/.agents/skills/scikit-learn"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/scientific/scikit-learn"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/references/model_evaluation.md" "$u/references/model_evaluation.md" \
  -o "$d/references/pipelines_and_composition.md" "$u/references/pipelines_and_composition.md" \
  -o "$d/references/preprocessing.md" "$u/references/preprocessing.md" \
  -o "$d/references/quick_reference.md" "$u/references/quick_reference.md" \
  -o "$d/references/supervised_learning.md" "$u/references/supervised_learning.md" \
  -o "$d/references/unsupervised_learning.md" "$u/references/unsupervised_learning.md" \
  -o "$d/scripts/classification_pipeline.py" "$u/scripts/classification_pipeline.py" \
  -o "$d/scripts/clustering_analysis.py" "$u/scripts/clustering_analysis.py" \
  -o "$d/LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"

Antigravity

Neste projeto: instala em .agents/skills/scikit-learn/.

d=".agents/skills/scikit-learn"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/scientific/scikit-learn"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/references/model_evaluation.md" "$u/references/model_evaluation.md" \
  -o "$d/references/pipelines_and_composition.md" "$u/references/pipelines_and_composition.md" \
  -o "$d/references/preprocessing.md" "$u/references/preprocessing.md" \
  -o "$d/references/quick_reference.md" "$u/references/quick_reference.md" \
  -o "$d/references/supervised_learning.md" "$u/references/supervised_learning.md" \
  -o "$d/references/unsupervised_learning.md" "$u/references/unsupervised_learning.md" \
  -o "$d/scripts/classification_pipeline.py" "$u/scripts/classification_pipeline.py" \
  -o "$d/scripts/clustering_analysis.py" "$u/scripts/clustering_analysis.py" \
  -o "$d/LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"

Global: instala em ~/.gemini/antigravity-cli/skills/scikit-learn/.

d="$HOME/.gemini/antigravity-cli/skills/scikit-learn"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/scientific/scikit-learn"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/references/model_evaluation.md" "$u/references/model_evaluation.md" \
  -o "$d/references/pipelines_and_composition.md" "$u/references/pipelines_and_composition.md" \
  -o "$d/references/preprocessing.md" "$u/references/preprocessing.md" \
  -o "$d/references/quick_reference.md" "$u/references/quick_reference.md" \
  -o "$d/references/supervised_learning.md" "$u/references/supervised_learning.md" \
  -o "$d/references/unsupervised_learning.md" "$u/references/unsupervised_learning.md" \
  -o "$d/scripts/classification_pipeline.py" "$u/scripts/classification_pipeline.py" \
  -o "$d/scripts/clustering_analysis.py" "$u/scripts/clustering_analysis.py" \
  -o "$d/LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"

Peça ao Rook

Já usa o Rook Labs? Cole no chat do Rook: instale a skill https://rooklabs.sh/marketplace/cct.scikit-learn

Prévia do SKILL.md

---
name: scikit-learn
description: Machine learning in Python with scikit-learn. Use when working with supervised learning (classification, regression), unsupervised learning (clustering, dimensionality reduction), model evaluation, hyperparameter tuning, preprocessing, or building ML pipelines. Provides comprehensive reference documentatio…
---

# Scikit-learn

## Overview

This skill provides comprehensive guidance for machine learning tasks using scikit-learn, the industry-standard Python library for classical machine learning. Use this skill for classification, regression, clustering, dimensionality reduction, preprocessing, model evaluation, and building production-ready ML pipelines.

## Installation

```bash
# Install scikit-learn using uv
uv uv pip install scikit-learn

# Optional: Install visualization dependencies
uv uv pip install matplotlib seaborn

# Commonly used with
uv uv pip install pandas numpy
```

## When to Use This Skill

Use the scikit-learn skill when:

- Building classification or regression models
- Performing clustering or dimensionality reduction
- Preprocessing and transforming data for machine learning
- Evaluating model performance with cross-validation
- Tuning hyperparameters with grid or random search
- Creating ML pipelines for production workflows
- Comparing different algorithms for a task
- Working with both structured (tabular) and text data
- Need interpretable, classical machine learning approaches

## Quick Start
…

Ver todo o marketplace