Data Science & ML Habilidades de Claude

HMDB Metabolome Database

Accesses and queries the Human Metabolome Database for detailed metabolite information, clinical biomarkers, and biochemical pathways.

xAI Stock Sentiment Analysis

Analyzes real-time stock sentiment on X (Twitter) using Grok to provide actionable market insights and retail investor mood.

MATLAB & Octave Scientific Computing

Provides specialized support for MATLAB and GNU Octave numerical computing, matrix operations, and scientific visualization.

Gemini CLI for Claude Code

Integrates Google Gemini's multimodal reasoning and automated CLI tools into Claude Code for advanced AI collaboration and research.

COBRApy Metabolic Modeling

Performs constraint-based reconstruction and analysis (COBRA) of metabolic models for systems biology and metabolic engineering.

HS Risk Scoring & Reporting

Performs automated risk assessment on logistics data by identifying formatting errors, hazardous materials, and dimensional flags.

Bedrock Model Customization

Adapts Amazon Bedrock foundation models through fine-tuning, continued pre-training, reinforcement learning, and model distillation.

Bioinformatics & Genomic Analysis (pysam)

Processes genomic data files including SAM, BAM, VCF, and FASTA using a high-performance Python interface to htslib.

DrugBank Database Integration

Accesses and analyzes comprehensive pharmaceutical data, including drug properties, interactions, molecular targets, and chemical structures from DrugBank.

Gemini 3 Pro Advanced Features

Implements advanced Gemini 3 Pro capabilities including function calling, structured outputs, and context caching for production-grade AI applications.

Stable Baselines3 RL Suite

Implements production-ready reinforcement learning algorithms using a unified, scikit-learn-style API for efficient agent training and evaluation.

Hypogenic Scientific Hypothesis Discovery

Automates scientific hypothesis generation and testing from tabular datasets using LLMs and literature integration.

xAI Agent Tools for Grok

Enables autonomous tool calling for Grok models including X search, web search, and Python code execution.

K-Dense Scientific Research Bridge

Connects Claude Scientific Skills with the K-Dense Web platform to handle complex, multi-agent scientific research workflows.

SHAP Model Interpretability

Explains machine learning model predictions and feature importance using Shapley Additive exPlanations for transparent AI.

Alpha Vantage Financial Data

Accesses comprehensive financial market data including stocks, forex, cryptocurrency, and technical indicators for automated analysis.

Agentica SDK

Builds and orchestrates stateful Python-based AI agents with MCP integration and multi-agent patterns.

ClinicalTrials.gov Search & Integration

Queries the ClinicalTrials.gov API v2 to search, filter, and extract comprehensive clinical research data and trial details.

Bioinformatics Data Query (gget)

Accesses and analyzes data from over 20 genomic and proteomic databases through a unified interface.

ClinPGx Pharmacogenomics Database

Queries gene-drug interactions, clinical guidelines, and genetic variant annotations from the ClinPGx database for precision medicine applications.

PyDESeq2 Gene Analysis

Performs differential gene expression analysis for bulk RNA-seq data using Python-based DESeq2 workflows.

xAI Sentiment Analysis

Performs real-time sentiment analysis on Twitter/X content using Grok's native integration and natural language processing.

Matplotlib Visualization

Generates and customizes professional-grade static, animated, and interactive visualizations using Python's foundational plotting library.

Geniml: Genomic Machine Learning

Builds machine learning models and embeddings for genomic interval data to enable similarity searches, clustering, and single-cell analysis.

LatchBio Integration

Streamlines the development, deployment, and management of serverless bioinformatics workflows on the LatchBio platform.

Polars Data Engineering

Optimizes data processing and analysis workflows using the high-performance Polars DataFrame library.

FluidSim CFD Framework

Simulates high-performance computational fluid dynamics using pseudospectral methods and optimized Python solvers.

deepTools NGS Analysis

Analyzes and visualizes high-throughput sequencing data including ChIP-seq, RNA-seq, and ATAC-seq.

Gemini 3 Pro Image Generation

Generates high-resolution 4K images, renders precise text, and performs conversational image editing using the Gemini 3 Pro Image model.

PyTorch Geometric (PyG)

Develops and trains Graph Neural Networks (GNNs) using the PyTorch Geometric library for irregular data structures and geometric deep learning.