Data Science & ML Habilidades de Claude

Topological Obstruction Learning

Identifies and resolves global consistency obstructions in topological AI systems using Čech cohomology and GF(3) balancing.

Topological Gesture & Hypergesture Modeler

Models continuous performance curves and high-order musical gestures using topological category theory and Mazzola's Diamond Conjecture.

World Hopping Logic

Navigates complex mathematical and ontological possibility spaces using Badiou-inspired event logic and Kripke semantics.

Scientific Critical Thinking

Evaluates research rigor and scientific claims by assessing methodology, statistical validity, and potential biases using standardized frameworks.

ML Pipeline Workflow

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

LangChain Architecture Design

Architects sophisticated LLM applications using LangChain patterns for autonomous agents, stateful memory management, and modular chains.

Prompt Engineering Patterns

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

RAG Implementation Expert

Builds Retrieval-Augmented Generation (RAG) systems to ground LLM applications with vector databases and semantic search capabilities.

LLM Evaluation Framework

Implements rigorous evaluation strategies for LLM applications using automated metrics, human-in-the-loop feedback, and advanced benchmarking.

Turing Chemputer

Automates programmable chemical synthesis by treating chemical procedures as executable XDL code on modular robotic hardware.

Polars Portfolio Backtester

Performs ultra-fast portfolio backtesting and trading strategy analysis using the Polars library.

PolicyEngine Simulation Mechanics

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

Technical Chart Analyst

Performs objective technical analysis on weekly price charts to identify trends, support levels, and probabilistic price scenarios.

PolicyEngine Impact Analysis

Generates policy impact simulations, distributional analyses, and interactive dashboards using the PolicyEngine framework.

Zeroth Bot Robotics Platform

Facilitates the development, simulation, and control of 3D-printed humanoid robots for reinforcement learning research.

MuJoCo Scene Builder

Composes complex 3D environments and terrains for robotic simulation and reinforcement learning training.

NeuroKit2 Biosignal Analysis

Processes and analyzes complex physiological signals including ECG, EEG, and EDA for psychophysiology research and medical data science.

Topological Superintelligence (ASI)

Implements a compositional AI framework based on category theory and GF(3) triadic balance for deterministic, self-modifying agent architectures.

K-Bot Humanoid Robotics

Provides hardware specifications, MuJoCo MJCF models, and deployment workflows for the K-Scale flagship humanoid robot platform.

RDKit Cheminformatics Toolkit

Performs advanced molecular analysis, descriptor calculation, and chemical informatics using the RDKit library.

K-Scale Robotics Ecosystem

Provides a unified framework for humanoid robot development, reinforcement learning training, and sim-to-real deployment.

Kinfer Runtime

Deploys trained Reinforcement Learning (RL) policies to real robots using high-performance Rust and ONNX Runtime.

Entropy Sim2Real Bridge

Bridges the gap between robotic simulations and real-world deployment using maximum entropy reinforcement learning and information-theoretic alignment.

Algorithmic Trading Execution Patterns

Optimizes trade execution using advanced algorithms like TWAP, VWAP, and Iceberg orders to minimize market impact and slippage.

Active Inference Robotics

Synthesizes Patrick Kenny's active inference framework with K-Scale's JAX/MuJoCo robotics stack for advanced predictive coding in robot locomotion.

MLflow Experiment Tracking

Optimizes machine learning workflows on Databricks by implementing structured MLflow experiment tracking and model governance patterns.

Databricks Feature Engineering

Streamlines the creation, management, and serving of scalable feature stores within the Databricks MLOps ecosystem.

EdgeVLA Robotics Skill

Standardizes robotics datasets and deploys edge-optimized vision-language-action models for embodied AI applications.

Databricks Model Serving

Deploys and manages production-grade machine learning models on Databricks with support for A/B testing and auto-scaling.

Memory Manager for elizaOS

Optimizes AI agent memory usage and manages conversation context through advanced pruning and archiving strategies.