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。
Validates neural posterior estimators through Simulation-Based Calibration (SBC) and comprehensive diagnostic testing.
Calculates comprehensive portfolio risk metrics like VaR, CVaR, and Sharpe ratios to monitor and manage financial exposure.
Transforms raw data into persuasive narratives and visualizations for business stakeholders and executive presentations.
Implements comprehensive evaluation frameworks for LLM applications using automated metrics, human-in-the-loop feedback, and A/B testing.
Implements efficient semantic search and vector database patterns for production-grade retrieval systems.
Builds robust, production-grade backtesting systems for trading strategies while eliminating common statistical biases.
Provides comprehensive financial frameworks for modeling, valuation, corporate finance decisions, and advanced statement analysis.
Models complex personal finance scenarios using Monte Carlo simulations, US tax logic, and goal-based projection tools.
Enables high-speed multi-modal analysis and document summarization using Gemini Flash within the Claude Code environment.
Orchestrates end-to-end MLOps pipelines from data preparation and model training to production deployment and monitoring.
Simplifies computational molecular biology by providing tools for sequence analysis, structural bioinformatics, and biological database integration.
Architects sophisticated LLM applications using agents, memory, and tool integration within the LangChain framework.
Ensures backend-agnostic tensor mathematics using Keras 3 operations for BayesFlow extensions and custom layers.
Optimizes vector database performance by tuning HNSW parameters, quantization strategies, and memory usage for high-scale search applications.
Optimizes Apache Spark performance through advanced partitioning, memory tuning, and shuffle management strategies.
Accesses and queries the PubMed database for biomedical literature, systematic reviews, and citation management.
Manages large-scale N-dimensional arrays with chunked storage, compression, and seamless cloud integration for scientific computing pipelines.
Optimizes the creation and debugging of BayesFlow data preprocessing pipelines for simulation-based inference.
Empowers Claude to perform advanced time series machine learning, including classification, forecasting, and anomaly detection using the specialized aeon toolkit.
Builds, trains, and optimizes hybrid quantum-classical models using automatic differentiation and hardware-agnostic circuit programming.
Streamlines the creation and maintenance of BayesFlow extension packages with standardized structures and API export management.
Optimizes vector search and RAG applications through intelligent embedding model selection and advanced document chunking strategies.
Builds process-based discrete-event simulations in Python to model complex systems with resource contention and time-based events.
Transforms monolithic Python research code and notebooks into modular, production-ready package structures.
Evaluates scientific research rigor and evidence quality using standardized frameworks like GRADE and Cochrane.
Streams and normalizes real-time cryptocurrency market data from over 40 exchanges for algorithmic trading and analysis.
Develops predictive player projection models using specialized feature engineering and sports-specific machine learning validation techniques.
Automates professional spreadsheet creation, financial modeling, and data analysis with rigorous formula verification and industry-standard formatting.
Provides comprehensive tools for phylogenetic tree manipulation, evolutionary analysis, and high-quality biological data visualization.
Accesses and analyzes real-time SEC filings and financial statements with token-efficient data retrieval.
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