Discover Agent Skills for data science & ml. Browse 61skills for Claude, ChatGPT & Codex.
Automates the fine-tuning and adaptation of pre-trained machine learning models for specific datasets and tasks.
Automates the creation of optimized configuration files for deploying PyTorch models via TorchServe.
Executes unsupervised machine learning algorithms to discover patterns and group data points within complex datasets.
Analyzes the emotional tone of text data to classify content as positive, negative, or neutral for enhanced data insights.
Assesses machine learning model performance through comprehensive metric analysis, including accuracy, precision, and F1-scores.
Automates the end-to-end process of building, training, and evaluating machine learning classification models within Claude Code.
Orchestrates complex multi-agent systems and intelligent task routing using the Vercel AI SDK v5.
Analyzes text data to extract sentiment, keywords, and topics using advanced natural language processing techniques.
Streamlines data cleaning, transformation, and validation through automated pipelines to prepare raw datasets for machine learning and analysis.
Automates the end-to-end creation, training, and evaluation of supervised classification models from labeled datasets.
Automates the fine-tuning and adaptation of pre-trained machine learning models for specific datasets and tasks.
Automates the creation of professional Excel pivot tables and data visualizations using natural language commands.
Refines LLM prompts to minimize token usage, reduce operational costs, and maximize output quality through intelligent rewriting.
Performs advanced natural language processing to extract sentiment, keywords, and topics from any textual data.
Constructs sophisticated recommendation systems using collaborative filtering, content-based filtering, and hybrid approaches to personalize user experiences.
Analyzes historical temporal data to predict future trends and seasonal patterns using advanced statistical modeling.
Partitions datasets into training, validation, and testing sets to streamline machine learning model development.
Automates the end-to-end creation of machine learning pipelines, including feature engineering, model selection, and hyperparameter tuning.
Evaluates machine learning models using a comprehensive suite of performance metrics to ensure accuracy and reliability.
Architects, implements, and deploys production-grade AI applications using Firebase Genkit across Node.js, Python, and Go.
Automates the creation, selection, and transformation of data features to optimize machine learning model performance.
Predicts future values and identifies temporal patterns in historical data using advanced statistical modeling and automated analysis.
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.
Identifies statistical outliers and data irregularities using machine learning algorithms to uncover fraud, security threats, or system errors.
Evaluates machine learning model performance using comprehensive metrics like accuracy, precision, and F1-score to ensure model quality.
Builds and configures custom neural network architectures including CNNs, RNNs, and Transformers directly within Claude Code.
Identifies outliers and unusual patterns in datasets using machine learning to uncover fraud, security threats, or system irregularities.
Orchestrates sophisticated multi-agent workflows using the AI SDK v5 to facilitate task delegation, intelligent routing, and agent handoffs.
Automates the partitioning of datasets into training, validation, and testing sets for machine learning development.
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