Discover Agent Skills for data science & ml. Browse 61 skills for Claude, ChatGPT & Codex.
Evaluates and improves the ethical integrity and fairness of AI models and datasets through automated bias detection and mitigation strategies.
Orchestrates complex multi-agent systems using AI SDK v5 to facilitate intelligent routing, agent handoffs, and coordinated workflows across multiple AI providers.
Generates informative and visually appealing charts, plots, and graphs through intelligent data analysis and automated selection of optimal visualization types.
Builds and deploys production-grade Firebase Genkit applications including RAG systems, multi-step workflows, and AI monitoring across Node.js, Python, and Go.
Partitions datasets into training, validation, and testing sets to prepare data for machine learning workflows.
Identifies outliers and unusual patterns in datasets using machine learning algorithms to uncover potential errors, fraud, or security threats.
Analyzes text data to identify emotional tone and classify sentiment as positive, negative, or neutral.
Builds and deploys production-ready generative AI agents leveraging Google Cloud's Vertex AI platform and Gemini models.
Optimizes deep learning models to improve accuracy, reduce training duration, and minimize resource consumption through advanced algorithms and architectural analysis.
Automates the transition of machine learning models into production environments through optimized deployment workflows and API serving.
Performs regression analysis and predictive modeling to identify relationships between variables and forecast future data trends.
Automates the division of datasets into training, validation, and testing subsets for machine learning workflows.
Designs and implements personalized recommendation engines using collaborative filtering, content-based filtering, and hybrid modeling techniques.
Optimizes machine learning model configurations using advanced search strategies to maximize predictive performance and efficiency.
Automates the end-to-end machine learning lifecycle including data analysis, model selection, training, evaluation, and artifact generation.
Automates the partitioning of data into training, validation, and testing sets for machine learning model development.
Orchestrates complex multi-agent systems using AI SDK v5 with intelligent routing, task delegation, and cross-provider workflows.
Engineers production-ready Agent Development Kit (ADK) applications with robust architecture, comprehensive testing, and automated deployment pipelines.
Performs advanced natural language processing to extract sentiment, identify keywords, and model topics from textual data.
Evaluates AI models and datasets for bias, fairness, and ethical compliance using industry-standard metrics and frameworks.
Generates and renders interactive data visualizations across 20+ chart types using AI-friendly GPT-Vis syntax for modern web frameworks.
Updates and manages the MassGen model registry, including model capabilities, release dates, and pricing information across system backends.
Performs meaning-based search across code and documents using embedding-based similarity matching to find relevant information without exact keywords.
Analyzes mental health metrics, identifies emotional patterns, and correlates psychological well-being with sleep, exercise, and nutrition data.
Builds professional-grade financial models including DCF analysis, Monte Carlo simulations, and scenario planning for investment valuation.
Manages the end-to-end lifecycle of Hugging Face Hub datasets, providing tools for repository initialization, configuration, and structured data streaming.
Manages and publishes research papers on the Hugging Face Hub by linking them to models and datasets, claiming authorship, and generating structured markdown articles.
Manages and automates the integration of structured evaluation results into Hugging Face model cards and metadata.
Trains and fine-tunes language models on Hugging Face's cloud infrastructure using the TRL library.
Accelerates the development of high-performance ML and AI applications in Rust by providing domain-specific design patterns and framework guidance.
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