Discover Agent Skills for data science & ml. Browse 61 skills for Claude, ChatGPT & Codex.
Builds and configures custom neural network architectures including CNNs, RNNs, and Transformers directly within Claude Code.
Performs advanced regression modeling and data analysis to uncover variable relationships and predict future trends.
Optimizes machine learning models by automatically searching for the best hyperparameter configurations using advanced search strategies.
Performs advanced natural language processing to extract sentiment, keywords, and topics from any textual data.
Trains, evaluates, and persists machine learning models using automated workflows for classification and regression tasks.
Optimizes machine learning models by automatically searching for optimal hyperparameter configurations using grid, random, and Bayesian search strategies.
Automates the end-to-end machine learning workflow from dataset analysis and model selection to training and artifact persistence.
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.
Optimizes machine learning model performance by automatically searching for the most effective hyperparameter configurations.
Analyzes text data to extract sentiment, keywords, and topics using advanced natural language processing techniques.
Orchestrates sophisticated multi-agent workflows using the AI SDK v5 to facilitate task delegation, intelligent routing, and agent handoffs.
Identifies outliers and unusual patterns in datasets using machine learning to uncover fraud, security threats, or system irregularities.
Architects, implements, and deploys production-grade AI applications using Firebase Genkit across Node.js, Python, and Go.
Assesses machine learning model performance through comprehensive metric analysis, including accuracy, precision, and F1-scores.
Automates the end-to-end creation, training, and evaluation of supervised machine learning classification models.
Constructs sophisticated recommendation systems using collaborative filtering, content-based filtering, and hybrid approaches to personalize user experiences.
Orchestrates complex multi-agent systems and intelligent task routing using the Vercel AI SDK v5.
Analyzes the emotional tone of text data to classify content as positive, negative, or neutral for enhanced data insights.
Automates the end-to-end creation, training, and evaluation of machine learning classification models within Claude Code.
Refines LLM prompts to minimize token usage, reduce operational costs, and maximize output quality through intelligent rewriting.
Automates the creation, selection, and transformation of data features to significantly enhance machine learning model performance.
Performs automated regression modeling and statistical data analysis to uncover variable relationships and predict future trends.
Automates the transition of machine learning models from development to production through API generation, containerization, and cloud deployment.
Automates the transition of machine learning models from development to production through API generation and containerization.
Transforms raw data into informative charts, graphs, and visual plots to simplify complex data analysis and reporting.
Optimizes deep learning model performance through automated architecture analysis, hyperparameter tuning, and training efficiency improvements.
Automates the end-to-end process of training, evaluating, and persisting machine learning models from raw datasets.
Transforms raw datasets into professional charts, plots, and graphs using intelligent visualization selection logic.
Automates the construction and configuration of deep learning architectures including CNNs, RNNs, and Transformers using standardized implementation patterns.
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