Data Science & ML Habilidades de Claude

Scientific Computing Resource Detector

Detects hardware resources and provides strategic recommendations for optimal scientific computing and data processing.

Data Wrangler

Transforms and analyzes large datasets using DuckDB SQL directly within the Claude Code environment.

Excel & Spreadsheet Expert

Creates, modifies, and analyzes Excel spreadsheets with production-grade formulas, professional formatting, and financial modeling standards.

AI Voice Agents

Architects high-performance conversational AI systems with optimized latency, natural turn-taking, and robust voice activity detection.

Hydrological Forecasting Suite

Performs hydrological modeling and streamflow forecasting using Julia-based classical and machine learning models.

AI Prompting Standards

Optimizes AI agent performance through Anthropic-based context engineering and prompt structure standards.

BlockRun Multi-Model Bridge

Expands Claude's capabilities with native image generation, real-time social media data, and cross-model reasoning via an autonomous micropayment wallet.

AI Swarm Orchestration

Orchestrates multi-agent AI swarms with dynamic topologies and parallel execution for complex distributed tasks.

ReasoningBank Agent Memory & Adaptive Learning

Enhances AI agents with high-performance adaptive learning and vector-based memory distillation using AgentDB.

Julia HydroTools

Provides specialized functions for hydrological modeling and climate data processing within the Julia environment.

Advanced Prompt Engineering

Architects high-performance LLM prompts using structured design patterns and systematic evaluation techniques.

Prompt Engineer

Architects high-performance LLM prompts using structured patterns, few-shot examples, and systematic evaluation to maximize model reliability.

RAG Systems Engineer

Architects high-performance Retrieval-Augmented Generation systems using advanced embedding, chunking, and retrieval optimization strategies.

RAG Systems Architect

Architects high-performance Retrieval-Augmented Generation systems using advanced chunking strategies and optimized vector search algorithms.

RAG Implementation Expert

Implements sophisticated Retrieval-Augmented Generation patterns including semantic chunking, hybrid search, and reranking to improve LLM accuracy.

RAG Systems Engineer

Implements high-performance Retrieval-Augmented Generation systems by optimizing embeddings, chunking strategies, and vector search pipelines.

Advanced RAG Implementation

Implements high-performance Retrieval-Augmented Generation systems using sophisticated chunking, hybrid search, and reranking strategies.

UniProt Database Integration

Enables direct REST API access to UniProt for protein searching, FASTA sequence retrieval, and cross-database identifier mapping.

STRING Protein Interaction Database

Accesses the STRING database to analyze protein-protein interaction networks and perform functional enrichment for systems biology.

Scikit-Survival Analyst

Performs comprehensive survival analysis and time-to-event modeling using the scikit-survival library in Python.

ZINC Database

Searches and retrieves information from the ZINC database of 230M+ purchasable compounds for drug discovery and virtual screening.

KEGG Database Analysis

Integrates KEGG REST API access into workflows for biological pathway analysis, gene mapping, and molecular interaction research.

ClinVar Database Integration

Queries NCBI ClinVar to retrieve and interpret clinical significance data for human genetic variants.

Advanced XLSX Spreadsheet Automation

Automates professional-grade spreadsheet creation, editing, and analysis with a focus on formula integrity and financial modeling standards.

ClinPGx Pharmacogenomics Database

Accesses comprehensive pharmacogenomics data for precision medicine, genotype-guided dosing, and clinical decision support.

ChEMBL Database Explorer

Accesses and queries the ChEMBL database for bioactive molecules, drug targets, and bioactivity data within medicinal chemistry workflows.

Precompute Relationships Pattern

Optimizes algorithmic performance by calculating static graph, grid, and constraint relationships during module load for constant-time lookups.

Cosmic Cancer Database Access

Access and query the COSMIC database for somatic mutations, cancer gene census, and mutational signatures to support precision oncology research.

PathML Computational Pathology

Analyzes whole-slide pathology images and multiparametric imaging data using advanced machine learning and spatial graph techniques.

Phylogenetic Tree Analysis (ETE)

Manipulates, analyzes, and visualizes phylogenetic and hierarchical tree structures with biological database integration.