Data Science & ML Agent Skills

AI Ethics & Fairness Validator

Validates the ethical implications and fairness of AI/ML models and datasets to ensure responsible development.

Prompt Optimizer Adapter

Refines and condenses AI prompts to minimize token consumption while maximizing output quality and performance.

Multi-Agent Systems Orchestrator

Orchestrates complex multi-agent workflows using AI SDK v5 to manage handoffs, intelligent routing, and cross-provider coordination.

Data Anomaly Detection

Identifies outliers and unusual patterns in datasets using machine learning algorithms to detect fraud, errors, or security threats.

Data Anomaly Detection

Identifies outliers and unusual patterns in datasets using machine learning to uncover fraud, security threats, or data irregularities.

AutoML Pipeline Builder

Automates the creation, training, and evaluation of machine learning models through comprehensive end-to-end pipelines.

AutoML Pipeline Builder

Automates the end-to-end creation, training, and evaluation of machine learning pipelines to accelerate model development workflows.

Computer Vision Adapter

Processes and analyzes images using advanced computer vision techniques to identify objects, classify scenes, and segment visual data.

Computer Vision Processor

Enables Claude to analyze images, detect objects, and perform visual classification tasks directly within your development workflow.

Automated Data Preprocessing Pipeline

Streamlines data preparation for machine learning by building automated pipelines for cleaning, validation, and transformation.

Dataset Splitter & ML Partitioning

Automates the partitioning of datasets into optimized training, validation, and testing subsets for machine learning workflows.

Dataset Splitter for ML

Automates the partitioning of datasets into training, validation, and testing sets to streamline machine learning workflows.

Deep Learning Optimizer

Optimizes deep learning model performance by refining architectures, tuning hyperparameters, and implementing efficient training strategies.

Machine Learning Experiment Tracker

Automates the setup and integration of experiment tracking tools like MLflow and Weights & Biases for machine learning workflows.

ML Experiment Tracking Setup

Automates the configuration and initialization of machine learning experiment tracking tools like MLflow and Weights & Biases.

Hyperparameter Tuning & ML Optimization

Optimizes machine learning model performance through automated hyperparameter searches using Grid, Random, and Bayesian strategies.

Machine Learning Hyperparameter Tuner

Optimizes machine learning model performance by automatically searching for the best hyperparameter configurations using grid, random, or Bayesian search strategies.

Machine Learning Model Trainer

Automates the end-to-end process of training, evaluating, and persisting machine learning models from provided datasets.

Machine Learning Model Trainer

Automates the end-to-end machine learning lifecycle from data analysis and model selection to training, evaluation, and artifact persistence.

ML Model Evaluation Suite

Evaluates machine learning model performance using a comprehensive suite of metrics including accuracy, precision, and F1-score.

Machine Learning Model Explainability

Provides deep interpretability and explainability for machine learning models using advanced techniques like SHAP and LIME.

Machine Learning Model Explainability

Provides deep interpretability and explainability for machine learning models using SHAP and LIME techniques.

AI Model Versioning Tracker

Manages AI/ML model versions, performance metrics, and lineage tracking directly within the Claude Code environment.

NLP Text Analyzer

Analyzes textual data to perform sentiment analysis, keyword extraction, and topic modeling using advanced natural language processing.

Recommendation System Engine

Builds and implements personalized recommendation systems using collaborative, content-based, and hybrid filtering techniques.

AI Recommendation System Builder

Develops personalized recommendation engines using collaborative filtering, content-based analysis, and hybrid modeling techniques.

Regression Analysis & Modeling

Performs advanced regression analysis and predictive modeling to identify variable relationships and forecast data trends using automated statistical tools.

Regression Analysis Tool

Performs advanced regression analysis and predictive modeling to identify trends and relationships within datasets.

Sentiment Analysis & Opinion Mining

Analyzes text data to identify emotional tone, classifying content as positive, negative, or neutral for actionable insights.

Transfer Learning Model Adapter

Automates the fine-tuning and adaptation of pre-trained machine learning models for specialized tasks and datasets.