data science & ml Claude 스킬을 발견하세요. 61개의 스킬을 탐색하고 AI 워크플로우에 완벽한 기능을 찾아보세요.
Manages vector embeddings and semantic search operations through the Qdrant REST API.
Enhances factual accuracy and minimizes hallucinations by implementing a structured self-verification loop in prompt design.
Analyzes municipal bonds and performs complex tax-equivalent yield calculations to optimize tax-aware fixed-income investing.
Evaluates business quality, competitive moats, and management performance to provide fundamental context for financial models.
Leverages Google’s Gemini Pro model to provide deep research, extensive code analysis, and high-context reasoning within your terminal.
Calculates present value, future value, NPV, IRR, and complex amortization schedules using various compounding conventions.
Optimizes capital distribution across asset classes using professional frameworks like Mean-Variance Optimization and Black-Litterman models.
Builds sophisticated, reactive web applications and data dashboards using the HoloViz Panel and Param framework.
Designs and manages financial market data systems, including real-time feeds, exchange licensing, and high-performance distribution architecture.
Standardizes data quality across ETL pipelines with custom validation patterns, schema evolution, and automated test assertions.
Build and evaluate robust binary and multiclass classification models using industry-standard machine learning algorithms and metrics.
Optimizes Python data processing using production-grade pandas patterns for large-scale DataFrame manipulation and memory efficiency.
Cleans and processes malformed or messy CSV files using automated detection of encodings, delimiters, and data types.
Applies essential statistical methods to financial data for risk analysis, portfolio construction, and factor modeling.
Constructs and analyzes diversified investment portfolios using correlation matrices, efficient frontier modeling, and factor-based risk attribution.
Analyzes currency markets, calculates exchange rate mechanics, and implements FX risk management strategies for international investment portfolios.
Calculates realized investment risk using historical data through volatility estimators, drawdown analysis, and downside metrics.
Analyzes equity securities, valuation models, and portfolio construction techniques for financial research and investment management.
Analyzes and compares investment vehicles like ETFs, mutual funds, and SMAs to optimize for costs, tax efficiency, and tracking performance.
Estimates the intrinsic value of stocks and companies using discounted cash flow, dividend discount models, and comparable multiples.
Decomposes portfolio returns into actionable components like allocation, selection, and factor exposures to identify specific value drivers.
Analyzes and models structured fixed income products including MBS, ABS, and CLOs with a focus on prepayment risk and waterfall mechanics.
Optimizes investment portfolios for maximum after-tax returns using strategic asset location, loss harvesting, and withdrawal sequencing.
Estimates potential future portfolio losses using Value-at-Risk (VaR), Monte Carlo simulations, and stress testing scenarios.
Analyzes corporate bonds, credit instruments, and debt structures to evaluate risk and yield metrics.
Analyzes government bonds, US Treasuries, and sovereign debt through advanced yield curve modeling and interest rate risk analytics.
Implements production-ready Retrieval-Augmented Generation (RAG) systems with optimized vector storage, chunking, and retrieval patterns.
Analyzes real estate and infrastructure investments using industry-standard valuation metrics like Cap Rates, NOI, FFO, and AFFO.
Calculates optimal position sizes and capital allocation strategies using quantitative frameworks like the Kelly Criterion and risk budgeting.
Analyzes commodity markets, futures curve dynamics, and roll yield mechanics to evaluate investment strategies and inflation hedges.
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