Data Science & ML Habilidades de Claude

ToolUniverse Scientific Workflow Suite

Enables Claude to perform complex scientific research by providing access to over 600 bioinformatics, genomics, and cheminformatics tools.

ETE Toolkit for Phylogenomics

Manipulates, analyzes, and visualizes phylogenetic trees and genomic data with the Environment for Tree Exploration (ETE) framework.

Scientific Critical Thinking

Evaluates research rigor, methodology, and statistical validity to perform critical analysis of scientific claims.

Algorithmic Trading Execution Patterns

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

Technical Chart Analyst

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

Turing Chemputer

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

LLM Evaluation Framework

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

RAG Implementation Expert

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

Prompt Engineering Patterns

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

LangChain Architecture Design

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

ML Pipeline Workflow

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

World Hopping Logic

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

Topological Gesture & Hypergesture Modeler

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

Topological Obstruction Learning

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

Entropy Sequencer

Optimizes interaction sequences using information theory to maximize learning efficiency and minimize surprise.

Epistemic Arbitrage

Exploits knowledge differentials across domains using propagator-based networks and deterministic parallel synthesis.

Sheaf Laplacian Coordination

Implements sheaf-theoretic neural network coordination for distributed consensus and complex graph-based multi-agent systems.

Agent-o-rama Pattern Learner

Extracts behavioral patterns and interaction sequences to train cognitive surrogate systems and predictive models.

Langevin Dynamics Learning Analysis

Analyzes and optimizes neural network training dynamics using Stochastic Differential Equations and Fokker-Planck convergence metrics.

Buberian Relational Logic

Formalizes Martin Buber's relational philosophy using category theory and homotopy type theory to enhance AI social intelligence.

Phase Portrait Generator

Generates visual phase portraits and vector fields for 2D dynamical systems to analyze state space behavior.

Covariant Skill Evolution

Automates safe, structure-preserving self-modification for AI agents using covariant transport and Darwin Gödel Machine evolution loops.

Autopoietic Memory & Worlding

Implements a recursive, autopoietic loop for state management that synchronizes memory storage, pattern-matching recall, and generative world-building.

Condensed Analytic Stacks

Bridges Scholze-Clausen condensed mathematics and analytic stacks with sheaf neural networks for advanced topological computation.

Algebraic Dynamics Composition

Composes complex dynamical systems and resource sharers using categorical colimits and operad algebra.

AI Session Compression

Optimizes multi-turn AI conversations by reducing token usage through advanced summarization and context management techniques.

DuckDB Quadruple Interleave

Facilitates chaotic context injection by performing interleaved random walks across multiple DuckDB database clusters using coupled pendulum dynamics.

Birkhoff Average Analysis

Calculates the time average of observables along trajectories to analyze the long-term qualitative behavior of dynamical systems.

Causal Inference System 2

Implements interventional and counterfactual reasoning patterns for deliberate System 2 deep learning and causal world modeling.

Influence Propagation

Analyzes social network dynamics to trace idea adoption, influence flow, and interperspectival relationships.