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scikit-learn — Claude Code skill: what it does, how to install

A skill for Python machine learning tasks: classification, regression, clustering, preprocessing, and building ML pipelines with scikit-learn 1.9.1.

Install into Claude Code · Skills CLI (Vercel) All methods and platforms ↓ 
npx skills add K-Dense-AI/scientific-agent-skills --skill scikit-learn -a claude-code
Open on GitHub

What scikit-learn does

Provides reference documentation for algorithms, data preprocessing methods, and pipeline construction. Inside: five capability groups (supervised and unsupervised learning, model evaluation, preprocessing, composition), ready-to-run scripts for classification and clustering. Scripts use local datasets, no API keys required.

Requires Python 3.11 or later. Dependencies include NumPy, SciPy, joblib; scripts need pandas and matplotlib. The skill emphasizes one rule: fit preprocessing inside a Pipeline, or test data leaks into training during cross-validation and metrics lie.

Useful when you need to compare algorithms, tune hyperparameters, or build a production pipeline for tabular data and text.

What it helps with

  • build a classification or regression model with preprocessing
  • compare multiple clustering algorithms on one dataset
  • tune hyperparameters with GridSearchCV or RandomizedSearchCV
  • create a pipeline with transformers for mixed feature types
  • evaluate model quality with metrics and cross-validation

Example prompts for the agent

  • Build a Random Forest classifier with scaling for the data in `train.csv`
  • Compare K-Means and DBSCAN on this dataset, show silhouette scores
  • Create a `Pipeline` with `StandardScaler` and `OneHotEncoder` for numeric and categorical features

How to install scikit-learn

1Skills CLI (Vercel)

npx skills add K-Dense-AI/scientific-agent-skills --skill scikit-learn -a claude-code

2Manually: put the files in place

~/.claude/skills/scikit-learn/SKILL.md

Copy the whole skill folder; for one project use .claude/skills/scikit-learn/

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Questions about scikit-learn

How to install the scikit-learn skill in Claude Code?

Run the command npx skills add K-Dense-AI/scientific-agent-skills --skill scikit-learn -a claude-code. The skill will appear in ~/.claude/skills/scikit-learn/SKILL.md.

What does the scikit-learn skill do?

Provides documentation and examples for machine learning with the scikit-learn library: classification, regression, clustering, preprocessing, model evaluation, and pipeline construction. Includes ready-made scripts for common tasks.

What Python version is required for the skill?

Python 3.11 or later. The skill targets scikit-learn 1.9.1, which requires this minimum interpreter version.

See also

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