Agent skill · research science · jeremylongshore
building-classification-models
Build and evaluate classification models for supervised learning tasks
Why this skill is useful
Generates specific code for building and evaluating classification models that the AI wouldn't reliably produce on its own.
What it needs
Requires classification-model-builder installed locally. About 2k tokens when loaded. Last updated 2026-08-07. 2,604 stars on the source repository.
What this skill does
Classification Model Builder Build and evaluate classification models for supervised learning tasks with labeled data. Overview This skill empowers Claude to efficiently build and deploy classification models. It automates the process of model selection, training, and evaluation, providing users with a robust and reliable classification solution. The skill also provides insights into model performance and suggests potential improvements. How It Works 1. Context Analysis: Claude analyzes the user's request, identifying the dataset, target variable, and any specific requirements for the classification model. 2. Model Generation: The skill utilizes the classification-model-builder plugin to generate code for training a classification model based on the identified dataset and requirements. This includes data preprocessing, feature selection, model selection, and hyperparameter tuning. 3. Evaluation and Reporting: The generated model is trained and evaluated using appropriate metrics (e.g., accuracy, precision, recall, F1-score). Performance metrics and insights are then provided to the user. When to Use This Skill This skill activates when you need to: Build a classification model from a given dataset. Train a classifier to predict categorical outcomes. Evaluate the performance of a classification model. Examples Example 1: Building a Spam Classifier User request: "Build a classifier to detect spam emails using this dataset." The skill will: 1. Analyze the provided email dataset to identify features and the target variable (spam/not spam). 2. Generate Python code using the classification-model-builder plugin to train a spam classification model, including data cleaning, feature extraction, and model selection. Example 2: Predicting Customer Churn User request: "Create a classification model to predict customer churn using customer data." The skill will: 1. Analyze the customer data to identify relevant features and the churn status. 2. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills jeremylongshore/building-classification-models--a669ac