data science & ml Claude 스킬을 발견하세요. 61개의 스킬을 탐색하고 AI 워크플로우에 완벽한 기능을 찾아보세요.
Implements high-performance adaptive learning and experience replay for AI agents using the AgentDB vector engine.
Orchestrates dynamic AI context, intelligent memory systems, and RAG workflows for enterprise-scale multi-agent applications.
Optimizes LLM performance and reliability through advanced prompting techniques like few-shot learning and chain-of-thought reasoning.
Converts diverse file formats and office documents into clean, LLM-ready Markdown for improved AI processing.
Manages complex Excel workbooks with automated formula recalculation, professional financial modeling standards, and deep data analysis capabilities.
Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production applications.
Implements advanced prompt engineering techniques to optimize LLM performance, reliability, and structured output in production environments.
Monitors and summarizes the Nixtla forecasting ecosystem to provide actionable updates on TimeGPT, StatsForecast, and MLForecast.
Combines vector similarity and keyword-based search to improve retrieval accuracy in RAG systems and search engines.
Implement high-performance similarity search and vector retrieval patterns across multiple database providers.
Implements sophisticated autonomous agent architectures and workflow patterns using the Vercel AI SDK.
Designs framework-agnostic, portable AI agents and multi-agent workflows using Oracle's Open Agent Specification.
Designs and implements sophisticated LLM applications using LangChain's framework for agents, memory, and complex workflows.
Evaluates machine learning models by generating comprehensive performance metrics including accuracy, precision, and F1-score to guide model optimization.
Calculates comprehensive financial risk metrics including VaR, CVaR, Sharpe, and Sortino ratios for quantitative portfolio management.
Implements high-performance Retrieval Augmented Generation (RAG) pipelines including document chunking, vector database integration, and semantic search.
Orchestrates end-to-end MLOps pipelines from data ingestion and preparation to model training, validation, and production deployment.
Implements comprehensive evaluation frameworks for LLM applications using automated metrics, human feedback, and systematic benchmarking.
Transforms raw analytics into persuasive business narratives through structured storytelling, visualization techniques, and executive-ready frameworks.
Optimizes Apache Spark jobs through advanced partitioning, memory management, and shuffle performance tuning.
Transforms raw medical consultation data into structured health assessments and actionable care recommendations.
Implements comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and benchmarking.
Implements and optimizes advanced search strategies including semantic, hybrid, and reranking for high-performance RAG systems.
Architects optimized quantitative research designs, experimental methodologies, and sampling strategies using an enhanced three-phase validation process.
Deploys and manages enterprise-grade AI/ML workloads on SAP Business Technology Platform using SAP AI Core and AI Launchpad.
Develops and deploys in-database machine learning models using the SAP HANA Python Client (hana-ml).
Extracts text, tables, and metadata from PDF, DOCX, and HTML documents to power RAG pipelines and data processing workflows.
Builds cost-free RAG systems using parallel document processing and local vector embeddings.
Integrates ElevenLabs Scribe v1 for high-accuracy speech-to-text transcription across 99 languages with speaker diarization.
Integrates SAP AI Core and Generative AI Hub services into enterprise JavaScript and Java applications.
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