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。
Integrates a vector embedding layer into Next.js applications using pgvector and AI Gateway for high-performance semantic search and retrieval.
Builds, fits, and validates robust Bayesian statistical models using the PyMC probabilistic programming framework.
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.
Implements a complete Retrieval-Augmented Generation (RAG) chat interface with vector search and document citations.
Analyzes and designs offshore catenary and lazy wave riser configurations for static shape, tension, and OrcaFlex model generation.
Integrates Anthropic's extended thinking capabilities into chat interfaces with a collapsible chain-of-thought UI.
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.
Implements systematic evaluation strategies for LLM applications using automated metrics, human feedback, and comparative benchmarking.
Runs machine learning model inference, including detection, classification, and segmentation, directly on FiftyOne datasets.
Transcribes audio and video files into structured text and timestamped segments using the OpenAI Whisper API.
Exports FiftyOne computer vision datasets to industry-standard formats like COCO, YOLO, and VOC for machine learning training.
Streamlines the development of AI-powered applications by providing real-time documentation, best practices, and implementation patterns for the Vercel AI SDK.
Executes unsupervised machine learning algorithms to identify patterns, group data points, and perform cluster analysis on complex datasets.
Integrates real-time Retell AI voice calling and WebRTC capabilities into Next.js chat interfaces.
Orchestrates multi-agent deliberations and structured critiques across multiple LLMs to provide optimized architectural and coding recommendations.
Standardizes the creation, execution, and analysis of A/B tests and product experiments to ensure statistical significance and actionable insights.
Optimizes LLM performance and reliability through advanced prompt engineering techniques like few-shot learning and chain-of-thought reasoning.
Streamlines NVIDIA CUDA setup and GPU computing environments using Flox for deep learning and high-performance development.
Orchestrates end-to-end MLOps pipelines from data preparation and model training through to production deployment.
Systematically designs and optimizes Claude prompts using a multi-level methodology for maximum effectiveness and cost efficiency.
Architects sophisticated LLM applications using the LangChain framework with advanced patterns for agents, memory, and tool integration.
Orchestrates specialized AI sub-agents to solve complex engineering problems through parallel task delegation.
Integrates Claude with the DNAnexus cloud platform to develop, deploy, and manage genomics pipelines and biomedical data analyses.
Provides a persistent cognitive architecture for AI agents to maintain long-term memory, context, and identity across multiple sessions.
Generates production-ready BAML applications and structured output configurations from natural language requirements.
Generates production-ready BAML applications for structured data extraction, classification, and AI agent workflows using real-time patterns from official BoundaryML documentation.
Manages multi-provider patterns and raw SDK access for OpenAI, Anthropic, Google Gemini, and Ollama.
Transforms complex datasets into clear, actionable visual narratives through optimized chart selection, dashboard design principles, and modern React charting libraries.
Scroll for more results...