Data Science & ML Habilidades de Claude

Forecasting Calibration & Discrimination

Optimizes predictive accuracy by balancing probability alignment with the ability to distinguish between diverse outcomes.

Natural Selection Design Patterns

Implements evolutionary design principles to build adaptive systems that improve through iterative variation, selection pressure, and inheritance.

Deep Research Oracle

Routes prompts and code context to multiple high-performance AI models for cross-validation and specialized deep research.

Prompt Engineering Frameworks

Applies systematic techniques and structured frameworks to optimize LLM instructions for maximum accuracy, consistency, and output quality.

Evolution Patterns

Applies biological adaptation principles to optimize complex systems through iterative variation, selection, and inheritance.

Base Rate Thinking Pattern

Anchors predictions and decision-making in statistical frequencies to avoid cognitive bias and improve estimation accuracy.

Aristotle Mathematical Prover

Formalizes natural language mathematical questions into Lean 4 and verifies them using the Harmonic Aristotle prover API.

Tournament Forecasting

Implements structured competitive prediction frameworks using Brier scores and systematic debiasing to enhance organizational forecasting accuracy.

ctrlsys Control Theory & Systems Engineering

Simplifies the design and analysis of complex control systems using the C11-based ctrlsys library.

Fitness Landscapes Thinking Pattern

Analyzes complex optimization problems using evolutionary landscape metaphors to identify local traps and global optima.

RAG Engineer

Optimizes Retrieval-Augmented Generation architectures through advanced semantic chunking, hybrid search strategies, and vector embedding pipelines.

ML Streaming Inference Pattern

Implements real-time machine learning prediction patterns for high-throughput data streams with sub-second latency.

Computational Mechanics

Identifies the minimal computational structure and causal states needed to predict complex system behavior from observed data streams.

Stock and Flow System Dynamics

Models complex system dynamics using stocks, flows, and feedback loops to quantitatively predict behavior and test policy interventions.

Excel & Spreadsheet Management

Manages complex Excel workbooks with automated formula creation, financial modeling standards, and data analysis.

Monte Carlo Simulation

Quantifies uncertainty and assesses risk distributions by running thousands of probabilistic scenarios with random variable inputs.

Normal Distribution Thinking Pattern

Analyzes and applies Gaussian statistical patterns to data for improved prediction, quality control, and anomaly detection.

Stable Baselines3 Reinforcement Learning

Implements and optimizes reinforcement learning workflows using the Stable Baselines3 PyTorch library.

Trading Risk Sizing Optimizer

Refactors trading system logic to transform rigid trade rejections into intelligent, constraint-based position sizing.

Bayesian Updating

Refines confidence in hypotheses and technical decisions by systematically weighting prior beliefs against new evidence.

Confidence Intervals Thinking Pattern

Quantifies uncertainty in estimates by generating plausible ranges to enable more reliable data-driven decision making.

Autocatalytic Sets Mental Model

Analyzes and designs self-sustaining systems through the lens of collective catalysis and network closure.

Bayes' Theorem Analysis

Refines probability estimates and decision-making by systematically updating beliefs as new data or evidence emerges.

Fireworks AI Inference & Fine-tuning

Integrates high-performance inference and LoRA fine-tuning for 100+ open-source LLMs via OpenAI-compatible APIs and the firectl CLI.

Batch Serving ML Pattern

Implements high-throughput machine learning inference patterns for processing large-scale datasets on a scheduled basis.

Fat Tails Risk Analysis

Identifies and manages risks in fat-tailed distributions where extreme events occur more frequently than standard models predict.

Ask Gemini Collaboration

Enables seamless model-to-model collaboration by delegating research, code reviews, and architectural validation to Google Gemini.

Geohash Coloring Skill

Implements hierarchical spatial indexing with deterministic GF(3) color derivation for geospatial analysis and visualization.

Ruvector Memory Conventions

Standardizes vector memory workflows and MCP tool interactions for persistent codebase intelligence and context management.

Triad Interleave Schedule Generator

Generates balanced, deterministic execution schedules by interleaving three color streams using GF(3) mathematical conservation.