Discover Agent Skills for data science & ml. Browse 61 skills for Claude, ChatGPT & Codex.
Automates data cleaning, transformation, and validation through robust ETL pipelines tailored for machine learning and advanced analysis.
Transforms raw data into insightful visual representations like charts, plots, and graphs through intelligent automated selection and analysis.
Automates the end-to-end process of deploying, serving, and productionizing machine learning models across various cloud and containerized environments.
Executes and visualizes machine learning clustering algorithms to discover patterns and groupings within complex datasets.
Processes and analyzes images using computer vision techniques to perform object detection, image classification, and segmentation.
Analyzes and processes images using computer vision techniques like object detection, classification, and segmentation.
Optimizes deep learning models by refining architectures, tuning hyperparameters, and implementing advanced training strategies to improve performance and efficiency.
Orchestrates complex multi-agent systems and intelligent task routing using the AI SDK v5 framework.
Identifies outliers and unusual patterns in datasets using machine learning to uncover fraud, errors, or security threats.
Analyzes AI/ML models and datasets for potential biases and ethical concerns to ensure responsible AI development.
Optimizes LLM prompts to minimize token consumption and maximize response quality for more efficient AI interactions.
Validates the ethical implications and fairness of AI/ML models and datasets to ensure responsible development.
Automates the end-to-end creation of machine learning pipelines including feature engineering, model selection, and hyperparameter optimization.
Performs statistical regression analysis and predictive modeling to identify relationships between variables and forecast data trends.
Automates the end-to-end creation of machine learning pipelines including feature engineering, model selection, and hyperparameter tuning.
Analyzes text data to identify emotional tone and classify sentiment as positive, negative, or neutral.
Orchestrates complex multi-agent systems using AI SDK v5 to facilitate intelligent routing, agent handoffs, and coordinated AI workflows.
Builds production-grade AI agents using the Agent Development Kit (ADK) with a focus on architecture, testing, and automated deployment.
Refines and compresses LLM prompts to minimize token usage and maximize output quality.
Builds production-ready AI agents and multi-agent systems using Google's Agent Development Kit for Vertex AI integration.
Optimizes deep learning model performance through automated architecture analysis, hyperparameter tuning, and efficient code generation.
Executes and analyzes machine learning clustering algorithms to identify patterns, groups, and anomalies within datasets.
Automates the end-to-end machine learning workflow including data analysis, model selection, training, and performance evaluation.
Analyzes text data to identify emotional tone and classify sentiment as positive, negative, or neutral for customer feedback and social media monitoring.
Removes batch effects from merged bulk RNA-seq or microarray cohorts using the ComBat algorithm to ensure data consistency for downstream analysis.
Generates professional PDF reports with formatted text, tables, and embedded visualizations using the reportlab Python library.
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.
Automates the transition of machine learning models into production environments through optimized deployment workflows and API serving.
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