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。
Provides comprehensive assistance for building, configuring, and optimizing automated crypto trading strategies using the Hummingbot framework.
Automates professional spreadsheet creation, financial modeling, and data analysis with rigorous formula verification and industry-standard formatting.
Automates the discovery, extraction, and visualization of open-access life science research from PubMed and Europe PMC.
Builds high-performance machine learning systems and AI inference pipelines using Rust's memory-efficient ecosystem.
Facilitates observable data exploration and dbt project analysis through a structured SQL query and interpretation workflow.
Optimizes LLM performance and reliability through advanced prompting techniques like few-shot learning and chain-of-thought reasoning.
Build, automate, and manage end-to-end MLOps pipelines from data ingestion through production deployment.
Quantifies forecast uncertainty by generating prediction intervals and confidence bands for time series models using conformal prediction.
Automatically selects and executes the optimal forecasting engine between StatsForecast and TimeGPT based on your data's unique characteristics.
Architects sophisticated LLM applications using LangChain patterns for autonomous agents, conversational memory, and complex workflow orchestration.
Integrates Google Gemini models into Claude Code for advanced reasoning, multimodal analysis, and high-speed text generation using the google-genai SDK.
Generates plain-English narratives and executive summaries from TimeGPT forecast results to bridge the gap between data science and business stakeholders.
Master advanced vector database operations, including distributed QUIC synchronization and hybrid search for high-performance AI applications.
Architects and implements sophisticated LLM applications using the LangChain framework for agents, memory management, and complex AI workflows.
Automatically downloads, parses, and summarizes ArXiv research papers to provide actionable insights for your project.
Builds advanced Retrieval-Augmented Generation (RAG) systems using vector databases, semantic search, and sophisticated retrieval patterns for grounded AI applications.
Automates the creation, selection, and transformation of data features to optimize machine learning model performance.
Validates and reasons through 2-D injection-production doublet models using advanced streamline methods and transport physics.
Builds professional investment banking-grade discounted cash flow (DCF) valuation models in Excel with automated financial projections and sensitivity analysis.
Tracks and manages AI/ML model versions, lineage, and performance metrics within your development workflow.
Audits mathematical modeling results for MCM/ICM Problem C to ensure logical consistency and model stability.
Enforces safety protocols, human-in-the-loop approval flows, and comprehensive audit logs for autonomous AI agents.
Automates financial budget vs. actual variance analysis in Excel with professional reporting, materiality flagging, and executive summaries.
Architects advanced LLM prompts, RAG systems, and fine-tuning workflows to build production-grade AI applications.
Evaluates machine learning models in R using yardstick and tidymodels patterns for classification and regression tasks.
Automates the generation of analytical features from horse racing data stored in PostgreSQL databases.
Builds sophisticated conversational interfaces and LLM-powered applications with advanced natural language understanding and context management.
Extracts and converts PDF documents into LLM-friendly formats like Markdown to support RAG pipelines and document analysis.
Implements high-performance adaptive learning and memory distillation for autonomous agents using the AgentDB vector engine.
Converts research paper PDFs into structured, reproducible Markdown summaries for technical analysis and knowledge management.
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