data science & ml向けのClaudeスキルを発見してください。61個のスキルを閲覧し、AIワークフローに最適な機能を見つけましょう。
Transforms raw data into insightful visual representations like charts, plots, and graphs through intelligent automated selection and analysis.
Automates data cleaning, transformation, and validation to streamline the preparation of raw datasets for machine learning and analysis.
Partitions raw datasets into training, validation, and testing sets to streamline machine learning model development.
Executes and analyzes machine learning clustering algorithms to identify patterns, groups, and anomalies within datasets.
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.
Automates the end-to-end creation of machine learning pipelines including feature engineering, model selection, and hyperparameter tuning.
Automates the end-to-end creation of machine learning pipelines including feature engineering, model selection, and hyperparameter optimization.
Automates the integration and configuration of MLflow and Weights & Biases for machine learning experiment management.
Automates data cleaning, transformation, and validation through robust ETL pipelines tailored for machine learning and advanced analysis.
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.
Validates the ethical implications and fairness of AI/ML models and datasets to ensure responsible development.
Analyzes text data to identify emotional tone and classify sentiment as positive, negative, or neutral.
Analyzes AI/ML models and datasets for potential biases and ethical concerns to ensure responsible AI development.
Builds production-grade AI agents using the Agent Development Kit (ADK) with a focus on architecture, testing, and automated deployment.
Builds production-ready AI agents and multi-agent systems using Google's Agent Development Kit for Vertex AI integration.
Performs comprehensive natural language processing tasks including sentiment analysis and keyword extraction directly within the Claude Code environment.
Automates the design and construction of complex neural network architectures like CNNs, RNNs, and Transformers using simple natural language commands.
Optimizes LLM prompts to minimize token consumption and maximize response quality for more efficient AI interactions.
Refines and compresses LLM prompts to minimize token usage and maximize output quality.
Evaluates machine learning model performance using a comprehensive suite of metrics like accuracy, precision, and F1-score.
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.
Automates the division of datasets into training, validation, and testing subsets 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.
Executes and visualizes machine learning clustering algorithms to identify groups and structures within provided datasets.
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