Discover Agent Skills for data science & ml. Browse 61 skills for Claude, ChatGPT & Codex.
Constructs sophisticated recommendation systems using collaborative filtering, content-based filtering, and hybrid approaches to personalize user experiences.
Automates the creation of professional Excel pivot tables and data visualizations using natural language commands.
Trains, evaluates, and persists machine learning models using automated workflows for classification and regression tasks.
Automates the end-to-end machine learning workflow from dataset analysis and model selection to training and artifact persistence.
Optimizes machine learning model performance by automatically searching for the most effective hyperparameter configurations.
Optimizes machine learning models by automatically searching for optimal hyperparameter configurations using grid, random, and Bayesian search strategies.
Automates the creation, selection, and transformation of data features to optimize machine learning model performance and accuracy.
Enhances machine learning model performance by automating feature creation, selection, and transformation tasks.
Evaluates machine learning models using a comprehensive suite of performance metrics to ensure accuracy and reliability.
Automates the end-to-end creation, training, and evaluation of machine learning classification models within Claude Code.
Automates the end-to-end creation, training, and evaluation of supervised machine learning classification models.
Identifies outliers and unusual patterns in datasets using machine learning to uncover fraud, security threats, or system irregularities.
Predicts future values and identifies temporal patterns in historical data using advanced statistical modeling and automated analysis.
Performs advanced regression modeling and data analysis to uncover variable relationships and predict future trends.
Analyzes historical temporal data to predict future trends and seasonal patterns using advanced statistical modeling.
Automates the partitioning of datasets into training, validation, and testing sets for machine learning development.
Builds professional investment banking-grade discounted cash flow (DCF) models in Excel with automated financial projections and sensitivity analysis.
Automates the creation of professional Excel pivot tables and data visualizations using natural language commands.
Analyzes AI/ML models and datasets for potential biases and ethical concerns to ensure responsible AI development.
Automates financial budget vs. actual variance analysis with intelligent flagging and executive commentary for professional FP&A reporting.
Provides interpretability and transparency for machine learning models by generating explanations for predictions and identifying feature importance.
Automates regression modeling and predictive data analysis to identify trends and relationships between variables.
Validates the ethical implications and fairness of AI/ML models and datasets to ensure responsible development.
Interprets complex machine learning predictions and identifies key feature influences using SHAP and LIME techniques.
Optimizes LLM prompts to minimize token consumption and maximize response quality for more efficient AI interactions.
Automates the construction and configuration of deep learning architectures including CNNs, RNNs, and Transformers using standardized implementation patterns.
Automates the transition of machine learning models from development to production through API generation and containerization.
Automates the configuration and integration of tracking tools like MLflow and Weights & Biases for machine learning projects.
Automates the configuration and integration of MLflow and Weights & Biases to track machine learning experiments seamlessly.
Orchestrates complex multi-agent systems and intelligent task routing using the AI SDK v5 framework.
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