Data Science & ML Habilidades de Claude

Excel & Spreadsheet Expert

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

Hydrological Forecasting Suite

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

Contingency Module Architect

Designs resilient contingency module architectures to manage failure scenarios within AI governance frameworks.

Strategy Translator

Translates trading strategy documentation into production-ready Python backtesting code and TradingView Pine Script.

Market Analysis Expert

Analyzes market trends and technical indicators to provide actionable trading insights and detailed risk assessments.

Product Expert Design

Designs adaptive user-facing agent experts to create personalized product experiences and dynamic UX.

Trading Strategy Research

Streamlines the development, validation, and systematic documentation of trading strategies and market edges.

Schwab Market Data Snapshot

Synchronizes and caches comprehensive Charles Schwab market data, including account status, real-time quotes, and option chains for trading agents.

Excel & Financial Modeling

Creates and manages professional spreadsheets with dynamic formulas, financial formatting standards, and advanced data analysis capabilities.

DiffDock Molecular Docking

Predicts high-accuracy 3D protein-ligand binding poses using diffusion-based deep learning for structure-based drug design.

UMAP-Learn Dimensionality Reduction

Performs high-performance nonlinear dimensionality reduction for data visualization, clustering preprocessing, and supervised manifold learning.

Pysam Genomic Toolkit

Manipulates genomic datasets and processes Next-Generation Sequencing (NGS) files using a Pythonic interface to htslib.

IRP Embodiment Framework

Connects Claude's cognitive orchestration to physical robotics and sensor systems using low-latency control and cryptographic integrity.

Astropy Astronomy Toolkit

Provides comprehensive tools for astronomical data analysis, coordinate transformations, and cosmological calculations within Python environments.

Scikit-Bio

Analyzes biological data including sequences, phylogenetic trees, and microbial diversity metrics using specialized Python tools.

AgentDB Reinforcement Learning Plugins

Empowers AI agents to learn and improve through experience using 9 specialized reinforcement learning algorithms and WASM-accelerated inference.

AgentDB Advanced Features

Enables high-performance distributed vector search and multi-agent coordination using QUIC synchronization and hybrid search.

Quantum Physics Simulation (QuTiP)

Simulates and analyzes quantum mechanical systems using the Quantum Toolbox in Python (QuTiP).

ReasoningBank Intelligence

Implements adaptive learning and meta-cognitive systems to enable AI agents to recognize patterns and optimize strategies through experience.

PyTDC Therapeutics Data Commons

Accesses and manages AI-ready drug discovery datasets, benchmarks, and molecular oracles for therapeutic machine learning.

Histolab Pathology Toolkit

Processes and prepares whole slide pathology images for deep learning and digital pathology workflows.

Mobility Manager

Optimizes 5G RAN mobility and handover performance using cognitive AI and predictive trajectory modeling.

AgentDB Memory Patterns

Implements high-performance persistent memory and pattern learning for stateful AI agents using AgentDB.

FluidSim CFD Framework

Executes high-performance computational fluid dynamics simulations and analysis using pseudospectral methods in Python.

GeoPandas Geospatial Analysis

Enables advanced geospatial vector data analysis, geometric operations, and spatial mapping within Python environments.

Functional Introspection Principle

Applies structured self-analysis and governance protocols to evaluate and validate AI decision-making processes.

Biopython Bioinformatics Tools

Streamlines computational molecular biology tasks and bioinformatics workflows using the Biopython library.

ML Researcher (RAN & RL)

Conducts advanced machine learning research for Radio Access Networks using reinforcement learning, causal inference, and cognitive frameworks.

AnnData Genomics & Data Science

Manages annotated data matrices and metadata for single-cell genomics and large-scale biological datasets in Python.

Agent Specialization Guide

Guides the architectural design and refactoring of AI agents into focused, single-purpose specialists to maximize performance and accuracy.