Data Science & ML Claudeスキル
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。
Excel Variance Analyzer
Automates financial budget vs. actual variance analysis with intelligent flagging and executive commentary for professional FP&A reporting.
Recommendation Engine Builder
Builds and implements personalized recommendation systems using collaborative, content-based, or hybrid filtering techniques.
AI Sentiment Analysis
Analyzes text data to identify emotional tone and classify sentiment as positive, negative, or neutral for customer feedback and social media monitoring.
Sentiment Analysis Tool
Analyzes text data to identify emotional tone and sentiment polarity for customer feedback, social media insights, and opinion mining.
AI Ethics & Fairness Validator
Validates the ethical implications and fairness of AI/ML models and datasets through automated bias detection and mitigation reporting.
Data Visualization Creator
Transforms raw data into informative charts, graphs, and visual plots to simplify complex data analysis and reporting.
Anomaly Detection System
Identifies outliers and unusual patterns in datasets using machine learning algorithms to uncover potential errors, fraud, or system deviations.
Regression Analysis Tool
Automates regression modeling and predictive data analysis to identify trends and relationships between variables.
AI Model Versioning Tracker
Manages AI/ML model lineages and performance metrics within development workflows.
ML Model Deployment Helper
Automates the transition of machine learning models from development to production through API generation, containerization, and cloud deployment.
ADK Agent Engineer
Builds production-grade AI agents using the Agent Development Kit (ADK) with a focus on architecture, testing, and automated deployment.
Deep Learning Model Optimizer
Optimizes deep learning model performance through automated architecture analysis, hyperparameter tuning, and training efficiency improvements.
Machine Learning Experiment Tracking Setup
Automates the configuration and integration of MLflow and Weights & Biases to track machine learning experiments seamlessly.
LLM Prompt Optimizer
Optimizes Large Language Model prompts to reduce token usage, lower operational costs, and improve response quality through concise rewriting.
Neural Network Builder
Constructs and configures complex neural network architectures including CNNs, RNNs, and Transformers using automated build commands.
Excel Pivot Wizard
Transforms raw data into professional pivot tables and insightful visualizations using natural language commands.
Neural Network Builder
Automates the construction and configuration of deep learning architectures including CNNs, RNNs, and Transformers using standardized implementation patterns.
ML Experiment Tracking Setup
Automates the configuration and integration of tracking tools like MLflow and Weights & Biases for machine learning projects.
Neural Network Builder
Automates the design, configuration, and construction of custom neural network architectures like CNNs and Transformers within Claude Code.
Text Sentiment Analysis
Analyzes text data to identify emotional tone and classify sentiment as positive, negative, or neutral.
Multi-Agent System Orchestrator
Orchestrates complex multi-agent systems using AI SDK v5 to facilitate intelligent routing, agent handoffs, and coordinated AI workflows.
Data Preprocessing Pipeline
Automates data cleaning, transformation, and ETL processes to prepare high-quality datasets for machine learning and analysis.
Regression Analysis Tool
Performs automated regression modeling and statistical data analysis to uncover variable relationships and predict future trends.
Transfer Learning Adapter
Automates the process of fine-tuning and adapting pre-trained machine learning models for new datasets and tasks.
Sentiment Analysis Tool
Analyzes text data to identify emotional tone and polarity for customer feedback, social media monitoring, and opinion mining.
Feature Engineering Toolkit
Automates the creation, selection, and transformation of data features to significantly enhance machine learning model performance.
Regression Analysis & Modeling
Performs statistical regression analysis and predictive modeling to identify relationships between variables and forecast data trends.
ML Model Explainability
Provides deep insights into machine learning model predictions and behavior using interpretability techniques like SHAP and LIME.
ML Model Deployment Helper
Automates the productionization of machine learning models by generating serving APIs, containerizing workloads, and implementing performance best practices.
AI Recommendation Engine Builder
Constructs personalized recommendation systems using collaborative, content-based, and hybrid filtering techniques.
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