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。
Architects high-performance Retrieval-Augmented Generation systems using advanced embedding models, semantic chunking, and hybrid search optimization.
Builds reliable, production-grade AI agents using structured patterns like ReAct and Plan-Execute to ensure task success and safety.
Implements sophisticated Retrieval-Augmented Generation patterns to optimize AI accuracy through advanced chunking, vector search, and reranking strategies.
Architects reliable, production-ready AI agents by implementing structured loops, goal decomposition, and robust safety guardrails.
Architects high-performance Retrieval-Augmented Generation systems using advanced embedding, chunking, and search strategies.
Implements sophisticated Retrieval-Augmented Generation patterns including semantic chunking, hybrid search, and vector store optimization.
Creates, edits, and analyzes professional-grade Excel spreadsheets with advanced financial modeling standards and error-free formula calculation.
Builds production-grade AI features using robust LLM integration patterns, RAG architecture, and cost-effective prompt engineering.
Builds high-performance, low-latency voice AI applications and real-time agents using industry-standard APIs and streaming infrastructure.
Architects high-performance voice-driven AI applications with a focus on low-latency conversation and natural speech patterns.
Builds high-performance, low-latency voice AI applications and real-time conversational agents using industry-leading providers.
Builds production-grade AI features using robust LLM integration patterns, structured output validation, and cost-effective prompt engineering.
Implements production-ready architectures for LLM-powered applications, including RAG pipelines, agentic workflows, and LLMOps monitoring.
Implements high-performance software and complex algorithms with uncompromising scientific rigor and formal verification.
Architects high-performance AI voice agents with optimized latency for natural, real-time human-AI conversations.
Implements high-performance software and complex algorithms with absolute scientific rigor and formal verification standards.
Creates and analyzes professional-grade spreadsheets with dynamic formulas, financial modeling standards, and automated recalculation.
Builds production-grade AI features using robust LLM integration patterns, RAG architecture, and rigorous output validation strategies.
Automates the creation, editing, and analysis of professional-grade Excel spreadsheets with industry-standard financial modeling practices.
Designs and implements high-performance AI voice agents with low-latency conversational flows and natural interaction patterns.
Designs and implements robust autonomous AI agents with sophisticated tool use, planning strategies, and multi-agent orchestration capabilities.
Implements comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and comparative benchmarking.
Optimizes LLM performance and reduces API costs by implementing advanced prefix caching, response caching, and Cache Augmented Generation strategies.
Optimizes LLM performance and reduces API costs by implementing advanced prompt, response, and semantic caching patterns.
Provides production-ready architectural patterns for building robust LLM applications, covering RAG pipelines, autonomous agents, and LLMOps observability.
Architects and implements autonomous AI agent systems featuring robust tool use, memory management, and multi-agent orchestration.
Optimizes AI performance and reliability through advanced prompting patterns like Few-Shot Learning and Chain-of-Thought reasoning.
Provides production-ready architectural patterns and implementation guides for building robust LLM applications, RAG pipelines, and AI agents.
Builds robust Retrieval-Augmented Generation (RAG) systems using vector databases and semantic search to ground AI responses in external data.
Optimizes LLM performance and reduces API costs by implementing advanced caching strategies like prompt prefixes, response caching, and Cache Augmented Generation (CAG).
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