Data Science & ML Claudeスキル

ML Model Explainability Tool

Interprets complex machine learning predictions and identifies key feature influences using SHAP and LIME techniques.

ML Model Deployment Helper

Automates the transition of machine learning models from development to production through API generation, containerization, and cloud deployment.

ML Model Explainability Tool

Provides interpretability and transparency for machine learning models by generating explanations for predictions and identifying feature importance.

ML Model Explainability

Interprets and explains machine learning model predictions and feature importance using techniques like SHAP and LIME.

Prompt Optimization Adapter

Optimizes LLM prompts to reduce token usage, lower costs, and enhance response performance through intelligent rewriting.

Deep Learning Model Optimizer

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

Data Visualization Creator

Transforms raw data into informative charts, graphs, and visual plots to simplify complex data analysis and reporting.

Regression Analysis Tool

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

Feature Engineering Toolkit

Automates the creation, selection, and transformation of data features to significantly enhance machine learning model performance.

Data Visualization Creator

Transforms raw datasets into professional charts, plots, and graphs using intelligent visualization selection logic.

AI Model Versioning Tracker

Manages AI/ML model lineages and performance metrics within development workflows.

Clustering Algorithm Runner

Executes unsupervised machine learning tasks by applying clustering algorithms like K-means and DBSCAN to analyze data structures and identify groupings.

Data Visualization Creator

Generates high-quality charts, plots, and graphs from raw data to reveal patterns and insights through intelligent automated visualization.

Deep Learning Model Optimizer

Optimizes deep learning model performance through automated architecture analysis, hyperparameter tuning, and efficient code generation.

AutoML Pipeline Builder

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

Time Series Forecaster

Predicts future values and identifies temporal patterns in historical data to provide actionable business and technical insights.

Multi-Agent System Orchestrator

Orchestrates complex multi-agent systems using AI SDK v5 to facilitate intelligent routing, agent handoffs, and coordinated AI workflows.

Transfer Learning Model Adapter

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

Regression Analysis & Modeling

Performs statistical regression analysis and predictive modeling to identify relationships between variables and forecast data trends.

ML Model Trainer

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

NLP Text Analyzer

Performs advanced natural language processing tasks including sentiment analysis, keyword extraction, and topic modeling to extract insights from textual data.

AI Recommendation Engine Builder

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

Recommendation System Builder

Architects and implements personalized recommendation engines using machine learning algorithms like collaborative and content-based filtering.

Neural Network Builder

Constructs and configures complex neural network architectures including CNNs, RNNs, and Transformers using automated build commands.

Neural Network Builder

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

Sentiment Analysis Tool

Analyzes text data to identify emotional tone and polarity for customer feedback, social media monitoring, and opinion mining.

ML Model Explainability

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

Machine Learning Model Explainability

Provides deep interpretability and transparency for machine learning models using industry-standard techniques like SHAP and LIME.

Machine Learning Model Evaluator

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

AI Model Versioning Tracker

Automates AI/ML model versioning, lineage tracking, and performance logging within your development environment.