data science & ml Claude 스킬을 발견하세요. 61개의 스킬을 탐색하고 AI 워크플로우에 완벽한 기능을 찾아보세요.
Builds robust Retrieval-Augmented Generation (RAG) systems to ground LLM applications with external knowledge and proprietary data.
Optimizes LLM performance and reliability through advanced prompting techniques like few-shot learning and chain-of-thought reasoning.
Build robust Retrieval-Augmented Generation systems using vector databases and semantic search patterns to ground LLM responses in factual data.
Integrates real-time xAI Grok sentiment with professional financial data APIs for comprehensive market and sentiment analysis.
Implements advanced Retrieval-Augmented Generation (RAG) architectures using vector databases and semantic search to ground LLM responses in external knowledge.
Architects and implements autonomous AI agent systems using sophisticated planning, memory, and tool-integration strategies.
Orchestrates end-to-end MLOps pipelines from data preparation and model training to production deployment and monitoring.
Integrates real-time xAI Grok sentiment with major financial APIs to provide a holistic view of market trends, price action, and fundamental health.
Designs and implements sophisticated LLM applications using the LangChain framework for complex AI workflows.
Orchestrates end-to-end machine learning pipelines from automated data preparation through model training, validation, and production deployment.
Builds custom plugins for the Semantik search engine to handle document ingestion, embeddings, and AI-powered reranking.
Implements a persistent knowledge graph memory system for Auto-Claude to retain context and learn patterns across development sessions.
Persists project knowledge and error-solution patterns across autonomous coding sessions to prevent repetitive mistakes.
Implements high-performance similarity search and vector database patterns for AI-driven applications.
Simplifies the selection and optimization of xAI Grok models for development tasks through detailed capability and cost analysis.
Conducts systematic, high-rigor research and data synthesis to transform raw information into actionable insights and structured reports.
Builds and manages fully managed RAG solutions using Amazon Bedrock for semantic search and document-based AI applications.
Design and implement multi-layered memory architectures for AI agents to ensure long-term state persistence and entity consistency.
Persists learned solutions and error patterns across autonomous coding sessions to create a self-healing development environment.
Generates and refines structured physics analysis specifications using standardized templates and domain-specific best practices.
Integrates comprehensive financial market data for stocks, forex, crypto, and technical indicators into the Claude environment.
Integrates Twelve Data for real-time and historical financial market data across stocks, forex, crypto, and technical indicators.
Optimizes Rcpp and C++ extensions by enforcing memory safety, const-correctness, and high-performance vectorized patterns.
Implements robust Bayesian survival analysis models including Weibull and Cox-like piecewise hazards with censoring support.
Streamlines machine learning data preprocessing in R using standardized Tidymodels recipes patterns.
Analyzes the intersection of aging populations and sovereign debt to quantify fiscal vulnerability and potential currency dilution paths.
Calculates implied gold prices and sovereign backing ratios to stress-test currency stability in scenarios where the USD loses its reserve status.
Provides comprehensive guidance and technical specifications for selecting and optimizing xAI Grok models within developer workflows.
Provides comprehensive guidance on leveraging Claude Opus 4.5, including reasoning control via the effort parameter and performance optimization.
Customizes and optimizes Amazon Bedrock foundation models through fine-tuning, continued pre-training, reinforcement learning, and model distillation.
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