data science & ml Claude 스킬을 발견하세요. 61개의 스킬을 탐색하고 AI 워크플로우에 완벽한 기능을 찾아보세요.
Accesses and analyzes comprehensive drug data including properties, interactions, targets, and chemical structures from the DrugBank database.
Implements efficient semantic search and vector database patterns for production-grade retrieval systems.
Implements optimized hybrid search patterns combining vector similarity and keyword matching to enhance RAG system recall.
Orchestrates a fleet of 48+ autonomous AI agents for cryptocurrency trading, market analysis, and backtesting across multiple exchanges.
Accesses the NIH Metabolomics Workbench REST API to query metabolite data, study metadata, and perform mass spectrometry searches.
Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production.
Integrates Google Gemini's advanced multimodal capabilities to process, analyze, and generate audio, video, images, and documents directly within your development workflow.
Optimizes LLM performance and reliability through automated model selection, cost estimation, and intelligent fallback strategies.
Generates comprehensive loyalty program performance reports and data-driven growth projections via Metabase integration.
Calculates comprehensive portfolio risk metrics like VaR, CVaR, and Sharpe ratios to monitor and manage financial exposure.
Queries the Reactome REST API to perform pathway enrichment analysis, gene mapping, and systems biology research directly within Claude.
Builds robust, production-grade backtesting systems for trading strategies while eliminating common statistical biases.
Performs high-performance, vectorized string manipulation and text cleaning using NumPy's specialized string modules.
Orchestrates end-to-end MLOps pipelines from data preparation and model training to production deployment and monitoring.
Architects sophisticated LLM applications using agents, memory, and tool integration within the LangChain framework.
Logs machine learning experiments with hyperparameters, metrics, and visualizations for systematic research tracking.
Integrates Google Gemini's multimodal analysis, massive context processing, and image generation capabilities directly into Claude Code.
Automates the creation, editing, and analysis of professional Excel spreadsheets with advanced formula support and financial modeling standards.
Verifies mathematical derivations step-by-step by checking algebra, index consistency, and dimensional accuracy.
Manage GrepAI semantic search workspaces including creation, project management, and indexing status monitoring.
Optimizes vector database performance by tuning HNSW parameters, quantization strategies, and memory usage for high-scale search applications.
Configures and troubleshoots embedding providers and models for the GrepAI semantic search tool.
Builds a unified abstraction layer for integrating and switching between multiple LLM providers in Rails applications.
Build robust Retrieval-Augmented Generation systems for LLM applications using vector databases and semantic search.
Implements and optimizes text embedding models and chunking strategies for high-performance semantic search and RAG applications.
Optimizes Apache Spark performance through advanced partitioning, memory tuning, and shuffle management strategies.
Transforms raw data into persuasive narratives and visualizations for business stakeholders and executive presentations.
Optimizes Large Language Model performance through advanced prompting techniques like few-shot learning and chain-of-thought reasoning.
Automates the creation, editing, and analysis of professional-grade Excel spreadsheets with dynamic formulas and industry-standard formatting.
Accelerates data processing workflows using the Polars DataFrame library for lightning-fast, memory-efficient analysis and pipeline optimization.
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