Data Science & ML Claude 技能

Covariant Skill Evolution

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

Phase Portrait Generator

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

Buberian Relational Logic

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

Langevin Dynamics Learning Analysis

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

Agent-o-rama Pattern Learner

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

Sheaf Laplacian Coordination

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

Epistemic Arbitrage

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

Entropy Sequencer

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

FreqAI ML Integration

Implements a self-adaptive machine learning retraining framework for automated trading signals and market regime detection.

Topological Obstruction Learning

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

Polars Portfolio Backtester

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

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.

Methylation Variability Analysis

Quantifies CpG-level methylation variability and epigenetic heterogeneity from whole-genome bisulfite sequencing data using standardized statistical workflows.

Levity-Levin Algorithmic Play

Orchestrates playful multi-agent exploration anchored by Leonid Levin's algorithmic complexity and optimality guarantees.

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.

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.

Kinfer Runtime

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

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.

K-Scale Robotics Ecosystem

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

KSIM Humanoid RL Training

Trains humanoid locomotion and manipulation policies using JAX-accelerated MuJoCo simulations and advanced RL algorithms.

K-Bot Humanoid Robotics

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

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.

Entropy Sim2Real Bridge

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

EdgeVLA Robotics Skill

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

Technical Chart Analyst

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