Data Science & ML Habilidades de Claude

XLSX Spreadsheet Master

Automates the creation, editing, and analysis of professional Excel spreadsheets with advanced formula support and financial modeling standards.

Paper Council

Transforms research papers and code repositories into high-quality, reusable AI skills through a multi-agent peer-review process.

Quantitative Backtesting Frameworks

Builds robust, production-grade backtesting systems for trading strategies while eliminating common statistical biases.

Quantitative Risk Metrics Calculation

Calculates comprehensive portfolio risk metrics like VaR, CVaR, and Sharpe ratios to monitor and manage financial exposure.

Prompt Engineering Patterns

Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production.

Hybrid Search Implementation

Implements optimized hybrid search patterns combining vector similarity and keyword matching to enhance RAG system recall.

Similarity Search Patterns

Implements efficient semantic search and vector database patterns for production-grade retrieval systems.

Project Docling Engineer

Builds production-grade Python document-processing systems featuring Docling integration, OCR fallbacks, and editable DOCX generation.

Paper Finder

Streamlines academic literature review and research paper discovery with automated prioritization and screening workflows.

Agent Data Processor

Processes and prepares data files for AI agent testing and deployment workflows.

Sensitivity Analysis

Performs systematic testing of input variables to identify key drivers and assess model risk across finance, engineering, and strategy.

Base Rate Fallacy Logic

Corrects probability judgments by integrating statistical base rates with case-specific information to avoid common cognitive biases.

Data Network Effects

Leverages the data flywheel mental model to build compounding competitive advantages through automated machine learning and user-generated signals.

LLM Evaluation Suite

Implements comprehensive evaluation frameworks for LLM applications using automated metrics, human feedback, and benchmarking.

Online Learning System Design

Implements continuous model updates and incremental learning patterns to handle evolving data streams without full retraining.

Supply and Demand Analysis

Predicts market price and quantity changes by analyzing the interaction between producer supply and consumer demand at equilibrium.

RAG Thinking Patterns

Implements sophisticated Retrieval-Augmented Generation architectures to ground AI responses in real-time external knowledge and eliminate hallucinations.

Gambler's Fallacy Recognition

Identifies and mitigates the gambler's fallacy to improve decision-making in probabilistic and high-risk scenarios.

Scientific Critical Thinking

Evaluates research rigor by assessing methodology, statistical validity, and evidence quality using industry-standard frameworks like GRADE and Cochrane.

Tidymodels Resampling Strategies

Implements advanced data resampling and validation strategies using the R tidymodels framework for robust model evaluation.

LLM Evaluation Master

Implements comprehensive evaluation frameworks for LLM applications using automated metrics, human feedback, and statistical benchmarking.

Scholar Evaluation & Scientific Review

Systematically evaluates scholarly research, academic papers, and technical proposals using the peer-reviewed ScholarEval framework.

MAIC Biostatistics Methodology

Provides expert guidance and best practices for conducting Matching-Adjusted Indirect Comparisons (MAIC) in biostatistical research.

PyMC 5 Fundamentals

Facilitates the creation, review, and optimization of Bayesian models using PyMC 5 and ArviZ diagnostics.

STC Methodology for Biostatistics

Guides the implementation and review of Simulated Treatment Comparisons (STC) using NICE DSU TSD 18 compliant methodologies.

BUGS/JAGS Bayesian Modeling

Simplifies the creation and review of Bayesian models using BUGS and JAGS declarative syntax and precision parameterization.

Bayesian Meta-Analysis Models

Provides comprehensive Bayesian meta-analysis templates using Stan and JAGS for advanced biostatistical evidence synthesis.

Diverga: Social Science Research Suite

Orchestrates complex social science research and systematic reviews using 24 specialized agents and integrated academic database tools.

Advanced Excel & Financial Modeling

Automates the creation, editing, and analysis of professional Excel spreadsheets with advanced formula support and industry-standard financial modeling.

ClinVar Database

Queries and interprets genetic variant clinical significance data from the NCBI ClinVar database.