Data Science & ML Agent Skills

AI Model Versioning Tracker

Automates the tracking, management, and performance monitoring of AI and machine learning model versions.

ML Model Explainability

Provides deep insights into machine learning model predictions and behavior using interpretability techniques like SHAP and LIME.

Deep Learning Model Optimizer

Optimizes deep learning model performance through automated architecture analysis, hyperparameter tuning, and training efficiency improvements.

Regression Analysis Tool

Performs automated regression modeling and statistical data analysis to uncover variable relationships and predict future trends.

Machine Learning Model Deployment

Automates the end-to-end process of deploying, serving, and productionizing machine learning models across various cloud and containerized environments.

ML Model Evaluation Suite

Evaluates machine learning models by calculating performance metrics like accuracy, precision, and F1-score to guide model optimization.

Machine Learning Model Evaluator

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

Neural Network Builder

Automates the design, configuration, and construction of custom neural network architectures like CNNs and Transformers within Claude Code.

ML Experiment Tracking Setup

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

ML Experiment Tracking Setup

Automates the integration and configuration of MLflow and Weights & Biases for machine learning experiment management.

Machine Learning Dataset Splitter

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

Machine Learning Dataset Splitter

Partitions raw datasets into training, validation, and testing sets to streamline machine learning model development.

Data Visualization Creator

Transforms raw data into insightful visual representations like charts, plots, and graphs through intelligent automated selection and analysis.

Deep Learning Model Optimizer

Optimizes deep learning models by refining architectures, tuning hyperparameters, and implementing advanced training strategies to improve performance and efficiency.

Computer Vision Analysis

Processes and analyzes images using computer vision techniques to perform object detection, image classification, and segmentation.

Clustering Algorithm Runner

Executes and visualizes machine learning clustering algorithms to discover patterns and groupings within complex datasets.

Computer Vision Processor

Analyzes and processes images using computer vision techniques like object detection, classification, and segmentation.

Clustering Algorithms Suite

Executes and analyzes machine learning clustering algorithms to identify patterns, groups, and anomalies within datasets.

Automated Data Preprocessing Pipelines

Automates data cleaning, transformation, and validation through robust ETL pipelines tailored for machine learning and advanced analysis.

AutoML Pipeline Builder

Automates the end-to-end creation of machine learning pipelines including feature engineering, model selection, and hyperparameter optimization.

AutoML Pipeline Builder

Automates the end-to-end creation of machine learning pipelines including feature engineering, model selection, and hyperparameter tuning.

Data Preprocessing & ETL Pipelines

Automates data cleaning, transformation, and validation to streamline the preparation of raw datasets for machine learning and analysis.

Prompt Optimization Expert

Optimizes LLM prompts to minimize token consumption and maximize response quality for more efficient AI interactions.

AI Multi-Agent Orchestrator

Orchestrates complex multi-agent systems and intelligent task routing using the AI SDK v5 framework.

AI Ethics & Fairness Validator

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

AI Ethics & Fairness Validator

Analyzes AI/ML models and datasets for potential biases and ethical concerns to ensure responsible AI development.

Data Anomaly Detection

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

LLM Prompt Optimizer

Refines and compresses LLM prompts to minimize token usage and maximize output quality.

Text Sentiment Analysis

Analyzes text data to identify emotional tone and classify sentiment as positive, negative, or neutral.

NLP Text Analyzer

Performs comprehensive natural language processing tasks including sentiment analysis and keyword extraction directly within the Claude Code environment.