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。
Analyzes and designs offshore catenary and lazy wave riser configurations for static shape, tension, and OrcaFlex model generation.
Executes autonomous multi-step biomedical research tasks across genomics, drug discovery, and clinical analysis.
Automates the creation of professional-grade Leveraged Buyout (LBO) models in Excel for private equity and investment analysis.
Constructs and configures custom neural network architectures including CNNs, RNNs, and Transformers directly within the Claude Code environment.
Develops and trains sophisticated Graph Neural Networks (GNNs) for irregular data structures using the PyTorch Geometric library.
Constructs and configures custom neural network architectures including CNNs, RNNs, and Transformers directly within the Claude Code environment.
Transcribes audio and video files into structured text and timestamped segments using the OpenAI Whisper API.
Manages academic citations and BibTeX entries by searching scholarly databases and validating metadata for research papers.
Facilitates biological pathway analysis and gene-mapping by querying the Reactome open-source database and REST API.
Provides comprehensive cheminformatics capabilities for molecular analysis, structural manipulation, and computational chemistry workflows.
Builds, fits, and validates robust Bayesian statistical models using the PyMC probabilistic programming framework.
Streamlines the development of AI-powered applications by providing real-time documentation, best practices, and implementation patterns for the Vercel AI SDK.
Performs differential gene expression analysis for bulk RNA-seq data using the Python implementation of DESeq2.
Automates the creation, editing, and analysis of professional spreadsheets with support for complex formulas and financial modeling standards.
Integrates real-time Retell AI voice calling and WebRTC capabilities into Next.js chat interfaces.
Provides a persistent cognitive architecture for AI agents to maintain long-term memory, context, and identity across multiple sessions.
Streamlines NVIDIA CUDA setup and GPU computing environments using Flox for deep learning and high-performance development.
Systematically designs and optimizes Claude prompts using a multi-level methodology for maximum effectiveness and cost efficiency.
Standardizes the creation, execution, and analysis of A/B tests and product experiments to ensure statistical significance and actionable insights.
Automates the detection and ingestion of computer vision datasets into FiftyOne with support for multimodal data and complex label formats.
Evaluates computer vision model predictions against ground truth using industry-standard protocols like COCO and Open Images.
Runs machine learning model inference, including detection, classification, and segmentation, directly on FiftyOne datasets.
Exports FiftyOne computer vision datasets to industry-standard formats like COCO, YOLO, and VOC for machine learning training.
Executes unsupervised machine learning algorithms to identify patterns, group data points, and perform cluster analysis on complex datasets.
Optimizes LLM performance and reliability through advanced prompt engineering techniques like few-shot learning and chain-of-thought reasoning.
Orchestrates end-to-end MLOps pipelines from data preparation and model training through to production deployment.
Architects sophisticated LLM applications using the LangChain framework with advanced patterns for agents, memory, and tool integration.
Integrates Claude with the DNAnexus cloud platform to develop, deploy, and manage genomics pipelines and biomedical data analyses.
Generates production-ready BAML applications for structured data extraction, classification, and AI agent workflows using real-time patterns from official BoundaryML documentation.
Generates production-ready BAML applications and structured output configurations from natural language requirements.
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