Data Science & ML Claude 技能

Convolutional Debate Agent

Enhances decision-making through a multi-model adversarial reasoning protocol and reliability-weighted aggregation.

Bayes' Theorem Analysis

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

ctrlsys Control Theory & Systems Engineering

Provides expert guidance and routine lookup for the ctrlsys control systems library, covering LQR design, Kalman filtering, and system identification.

Computational Mechanics

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

ctrlsys Control Theory & Systems Engineering

Provides expert guidance on control system design, analysis, and identification using the ctrlsys library.

Base Rate Analysis

Combats decision-making bias by anchoring probability assessments on statistical baseline frequencies before incorporating specific case details.

Agent-Based Modeling Simulation

Simulates complex systems from the bottom-up by defining simple rules for individual agents to observe emergent collective patterns.

Regression to the Mean Thinking Pattern

Enhances decision-making by identifying statistical reversion in performance data and preventing false causal interpretations.

Survivorship Bias Thinking Pattern

Enables Claude to identify and mitigate logical errors caused by focusing on visible successes while ignoring hidden failures.

Clustering Illusion Analyzer

Identifies and mitigates the tendency to see meaningful patterns in random data streaks or clusters.

LLM Fine-Tuning Strategies

Provides comprehensive frameworks and best practices for adapting foundation models to specialized domains using full fine-tuning and parameter-efficient methods.

OpenAI Whisper Transcription

Transcribes audio and video files locally using the OpenAI Whisper CLI without the need for an API key.

ML Model Selection Framework

Guides the selection of optimal machine learning algorithms by analyzing problem structure, data properties, and production constraints.

Fitness Landscapes Thinking Pattern

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

ctrlsys Control Theory & Systems Engineering

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

Tournament Forecasting

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

Aristotle Mathematical Prover

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

Base Rate Thinking Pattern

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

Evolution Patterns

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

Prompt Engineering Frameworks

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

Deep Research Oracle

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

Natural Selection Design Patterns

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

Availability Heuristic Thinking Pattern

Mitigates cognitive bias in decision-making by prioritizing statistical base rates over vivid, anecdotal evidence.

Training Loop Patterns

Implements production-grade deep learning training loops using battle-tested architectural patterns for optimized performance and stability.

Forecasting Calibration & Discrimination

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

Groq & Ollama AI Bridge

Enables high-speed chat completions via Groq Cloud and local text embeddings through Ollama for efficient RAG workflows.

Autonomous Agent Architect

Architects reliable, production-ready AI agent workflows using constrained loops and proven reliability patterns.

Sensitivity Analysis

Performs systematic testing of input variables to identify key drivers and assess model risk across finance, engineering, and strategy.

Base Rate Fallacy Logic

Corrects probability judgments by integrating statistical base rates with case-specific information to avoid common cognitive biases.

Online Learning System Design

Implements continuous model updates and incremental learning patterns to handle evolving data streams without full retraining.