Data Science & ML Habilidades de Claude

Denario Research Assistant

Automates end-to-end scientific research workflows from data analysis and hypothesis generation to producing publication-ready LaTeX papers.

Hypogenic Hypothesis Generation

Automates scientific hypothesis generation and testing by combining observational data with literature insights using large language models.

RDKit Cheminformatics

Provides comprehensive tools for molecular analysis, chemical property calculation, and 3D structure generation within scientific research workflows.

Matchms Mass Spectrometry Analysis

Processes, filters, and analyzes mass spectrometry data for metabolomics research and chemical identification.

Experiment Design Methodology

Standardizes the creation, execution, and analysis of A/B tests and product experiments to ensure statistical significance and actionable insights.

RAG Implementation Expert

Builds sophisticated Retrieval-Augmented Generation (RAG) systems to ground LLM responses with external knowledge and proprietary data.

Phylogenomics Workflow Generator

Automates the generation of scheduler-aware phylogenomic workflows from genome assemblies using single-copy orthologs.

BioGeoBEARS Biogeographic Analysis

Sets up and executes probabilistic inference of ancestral geographic ranges on phylogenetic trees using BioGeoBEARS in R.

Scientific Data Extractor

Extracts and validates structured data from scientific PDF collections for systematic reviews and meta-analyses.

ML Pipeline Workflow

Orchestrates end-to-end MLOps pipelines from data preparation and model training through to production deployment and monitoring.

AI Integration Patterns

Implements production-ready AI capabilities including prompt engineering, streaming responses, and cost-effective context management.

Data Visualization Techniques

Transforms complex datasets into clear, actionable visual narratives through optimized chart selection, dashboard design principles, and modern React charting libraries.

ML Pipeline Workflow

Orchestrates end-to-end MLOps pipelines from data preparation and model training through to production deployment.

LangChain Architecture & LLM Orchestration

Architects sophisticated LLM applications using the LangChain framework with advanced patterns for agents, memory, and tool integration.

LLM Evaluation & Metrics

Implements rigorous evaluation frameworks for Large Language Model applications using automated metrics, LLM-as-judge patterns, and human feedback loops.

BAML Code Generation

Generates production-ready BAML applications for structured data extraction, classification, and AI agent workflows using real-time patterns from official BoundaryML documentation.

BAML Code Generation

Generates production-ready BAML applications and structured output configurations from natural language requirements.

Prompt Engineering Patterns

Optimizes LLM performance and reliability through advanced prompt engineering techniques like few-shot learning and chain-of-thought reasoning.

ElevenLabs Text-to-Speech

Converts text into high-quality audio files using the ElevenLabs API with customizable voice parameters and presets.

Agent Creator

Designs and builds custom agents, skill frameworks, and Model Context Protocol (MCP) integrations using specialized personas and expert knowledge patterns.

Data Commons Client

Accesses and analyzes global public statistical data from authoritative sources via the Data Commons knowledge graph.

GEO Database Access

Accesses and analyzes NCBI Gene Expression Omnibus (GEO) data for transcriptomics and genomics research.

LLM Provider Management

Manages multi-provider patterns and raw SDK access for OpenAI, Anthropic, Google Gemini, and Ollama.

Human Metabolome Database Explorer

Accesses the Human Metabolome Database (HMDB) to retrieve detailed chemical properties, biomarker data, and spectral information for over 220,000 metabolites.

Jupyter Notebook Assistant

Refactors, cleans, and optimizes Jupyter notebooks to improve code readability, maintainability, and reproducibility.

PolicyEngine Aggregation Patterns

Standardizes variable summation and entity aggregation within the PolicyEngine microsimulation framework.

ML Pipeline Workflow Orchestrator

Orchestrates end-to-end MLOps pipelines from data preparation and model training to production deployment and monitoring.

PolicyEngine Simulation Mechanics

Optimizes and manages PolicyEngine microsimulations with advanced caching, data access, and entity mapping patterns.

Effect Size Calculation

Calculates and interprets standardized effect sizes to quantify the practical significance of research findings beyond statistical significance.

Subgroup Analysis

Conducts detailed subgroup analyses to examine effect moderation, explore dataset heterogeneity, and identify differential outcomes across specific populations.