Data Science & ML Habilidades de Claude

Nixtla Uncertainty Quantifier

Quantifies time series forecast uncertainty using conformal prediction to generate reliable prediction intervals and confidence bands.

Guardrails Contracts for OptAIC

Standardizes the implementation of data validation, risk limits, and compliance contracts within the OptAIC framework.

Deep Reinforcement Learning Meta-Skill

Routes users to the most effective reinforcement learning algorithms and implementation patterns based on specific problem characteristics.

AgentDB Memory Patterns

Empowers AI agents with persistent, high-performance memory and learning patterns using AgentDB and ReasoningBank.

LangChain Architecture & Agent Design

Architects sophisticated LLM applications using LangChain with advanced agent patterns, persistent memory, and modular tool integrations.

Flow Nexus Neural Networks

Trains and deploys complex neural networks within distributed E2B sandboxes for scalable machine learning workflows.

ReasoningBank with AgentDB

Implements high-performance adaptive learning and trajectory tracking for self-improving AI agents using AgentDB's ultra-fast vector backend.

RAG Implementation Guide

Implements robust Retrieval-Augmented Generation (RAG) systems for LLM applications using vector databases and semantic search.

AgentDB Vector Search

Implements high-performance semantic vector search and intelligent document retrieval for RAG systems using HNSW indexing and quantization.

Prompt Engineering Patterns

Master advanced techniques to maximize LLM performance, reliability, and controllability in production environments.

MLOps Pipeline Workflow

Orchestrates end-to-end machine learning lifecycles from data preparation and training to production deployment and monitoring.

LangChain Architecture

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

Prompt Engineering Patterns

Implements advanced prompt engineering techniques to optimize LLM performance, reliability, and controllability in production environments.

Machine Learning Hyperparameter Tuner

Optimizes machine learning model performance by automatically executing grid search, random search, and Bayesian optimization strategies.

Advanced Excel & Financial Modeling

Automates the creation, editing, and analysis of professional Excel spreadsheets with advanced formula support and industry-standard financial modeling.

Deep Learning Model Optimizer

Enhances deep learning model performance through automated architecture analysis, hyperparameter tuning, and efficient training strategies.

Frontier Research Explorer

Identifies cutting-edge research, recent breakthrough papers, and emerging concepts in any domain to enhance advanced AI prompting.

ML Model Trainer

Automates the end-to-end machine learning lifecycle from data analysis and model selection to training and evaluation.

Advanced Excel & Spreadsheet Automation

Automates the creation, professional formatting, and deep analysis of Excel workbooks using industry-standard modeling practices.

GIS Web Mapping

Generates production-ready React-Leaflet components and interactive geographic information system (GIS) interfaces using TypeScript.

Document Ranking & Scoring

Organizes and prioritizes retrieved documents using vector similarity metrics to optimize RAG performance.

RAG Implementation Expert

Builds robust Retrieval-Augmented Generation (RAG) systems to ground LLM applications in external knowledge and proprietary data.

LLM Evaluation Framework

Implements comprehensive evaluation strategies for Large Language Model applications using automated metrics, human feedback, and comparative benchmarking.

Prompt Engineering Patterns

Implements advanced prompt engineering techniques to optimize LLM performance and output reliability for production applications.

LLM Evaluation & Metrics

Implements comprehensive evaluation frameworks for LLM applications using automated metrics, human feedback, and LLM-as-judge patterns.

AI SDK Agent Orchestrator

Architects and manages sophisticated multi-agent systems using the Vercel AI SDK v5 for coordinated AI workflows.

ML Pipeline Workflow

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

LangChain Architecture & LLM Development

Architects sophisticated LLM applications using LangChain's agent, memory, and tool integration patterns.

RAG Implementation Guide

Implements robust Retrieval-Augmented Generation systems to connect LLMs with external knowledge bases and vector databases.

MLOps Pipeline Workflow

Builds production-grade MLOps pipelines by orchestrating data preparation, model training, validation, and automated deployment workflows.