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。
Provides expert strategies and domain knowledge for analyzing metabolic pathways, flux measurements, and biochemical mechanisms.
Assists medical professionals by extracting symptoms from natural language, identifying potential diagnoses, and suggesting clinical next steps.
Designs, implements, and optimizes production-grade Retrieval-Augmented Generation (RAG) pipelines for AI applications.
Performs automated financial ratio analysis, DCF valuations, and driver-based forecasting for strategic decision-making.
Automates professional financial modeling, DCF valuations, and budget variance analysis using specialized Python toolkits.
Implements production-grade statistical modeling, experiment design, and predictive analytics pipelines using Python, R, and SQL.
Productionizes machine learning models, builds MLOps pipelines, and implements robust LLM application architectures.
Orchestrates complex multi-agent systems using production-grade patterns, automated scaffolding, and robust error-handling strategies.
Architects production-grade multi-agent AI workflows with structured pattern selection and robust error handling.
Designs and optimizes production-grade Retrieval-Augmented Generation (RAG) pipelines with advanced chunking, retrieval, and evaluation strategies.
Provides specialized strategies and code patterns for genomics and transcriptomics data analysis, visualization, and biological interpretation.
Optimizes LLM prompts, evaluates RAG systems, and designs complex agentic workflows with standardized engineering patterns.
Deploys and optimizes production-grade machine learning models, MLOps pipelines, and RAG systems.
Queries and analyzes SEC filings, XBRL financials, and company data for streamlined financial research and auditing.
Architects and deploys production-grade computer vision systems for object detection, image segmentation, and advanced visual AI applications.
Performs automated financial ratio analysis, DCF valuations, and budget variance modeling to assess business performance.
Implements reliable, reproducible data pipelines and infrastructure using best practices for ETL/ELT workflows.
Builds sophisticated LLM applications and autonomous agents using the LangChain framework's core patterns and integrations.
Builds, optimizes, and deploys production-grade computer vision systems for object detection and image segmentation.
Architects and evaluates complex multi-agent systems using specialized design patterns, orchestration strategies, and safety guardrails.
Automates professional financial analysis including DCF valuation, ratio calculation, and budget variance reporting using standard Python tools.
Automates the management of BayesFlow extension packages including directory structures, API exports, and CI/CD configuration.
Validates neural posterior estimators using simulation-based calibration (SBC), coverage analysis, and diagnostic quality gates.
Optimizes and manages data preprocessing pipelines for BayesFlow simulation-based inference networks.
Validates neural posterior estimators using simulation-based calibration (SBC) and coverage analysis for BayesFlow models.
Performs production-ready financial analysis including DCF valuations, ratio calculations, and budget variance monitoring.
Streamlines the creation and debugging of BayesFlow data preprocessing pipelines for simulation-based inference.
Optimizes GPU memory usage and automates recovery from CUDA out-of-memory errors during BayesFlow training.
Generates publication-ready scientific diagrams and statistical plots for academic papers using a multi-agent pipeline.
Conducts data-driven market research, competitive analysis, and investor due diligence with verified source attribution.
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