Data Science & ML Claudeスキル

Kinfer Runtime

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

ReasoningBank Intelligence

Empowers AI agents with adaptive learning and meta-cognitive capabilities to optimize strategies based on past experiences.

K-Bot Humanoid Robotics

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

K-Scale Robotics Ecosystem

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

Flow Nexus Neural

Trains and deploys complex neural networks across distributed E2B sandbox environments using the Flow Nexus framework.

Entropy Sequencer

Optimizes interaction sequences using information theory and active inference to maximize learning efficiency and information gain.

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.

AgentDB Advanced Features

Implements advanced vector database capabilities for distributed AI systems, multi-agent coordination, and high-performance hybrid search.

AgentDB Memory Patterns

Manages persistent memory and pattern learning for AI agents using high-performance vector storage and context synthesis.

KSIM Humanoid RL Training

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

ReasoningBank with AgentDB

Implements high-performance adaptive learning and memory distillation for AI agents using the AgentDB vector backend.

QuackBot Duckoid Robotics & Music

Builds and simulates a cost-efficient, wobbling robot that composes nonstandard musical scales through duck-like vocalizations.

URDF to MJCF Converter

Converts URDF robot descriptions into MJCF format for high-performance MuJoCo and MJX physics simulations.

EdgeVLA Robotics Skill

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

SAP Data Intelligence Cloud Developer

Streamlines the development of data processing pipelines, ABAP integrations, and machine learning scenarios within SAP Data Intelligence Cloud.

Levin-Levity: Algorithmic Complexity & WEV

Balances algorithmic complexity with exploratory game theory to optimize proof discovery and extract World Extractable Value (WEV).

Algebraic Dynamics Composition

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

Categorical World Rewriting (Triad 4)

Orchestrates complex world-state transformations using categorical rewriting, graph grafting, and formal semantic verification.

Databricks Feature Engineering

Streamlines the creation, management, and serving of scalable feature stores within the Databricks MLOps ecosystem.

Structured Decompositions

Applies category theory and sheaves on tree decompositions to solve complex combinatorial problems with Fixed-Parameter Tractable (FPT) algorithms.

MLflow Experiment Tracking

Optimizes machine learning workflows on Databricks by implementing structured MLflow experiment tracking and model governance patterns.

Critical Analysis & Research

Conducts rigorous evaluations of claims, evidence, and logical arguments to detect bias and validate research methodologies.

ML Monitoring for Databricks

Implements automated model monitoring, drift detection, and performance tracking for production machine learning systems on Databricks.

Swarm Orchestration

Orchestrates multi-agent AI swarms for parallel task execution and dynamic coordination using the agentic-flow framework.

AI Session Compression

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

Databricks Delta Live Tables

Build and manage declarative, self-healing data pipelines with built-in quality enforcement and automated lineage tracking.

FreqAI ML Integration

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

Risk of Bias Assessment

Evaluates methodological quality and potential bias in research studies using standardized frameworks like RoB 2 and ROBINS-I.

ReasoningBank with AgentDB

Implements high-performance adaptive learning and experience replay for AI agents using AgentDB's ultra-fast vector storage.

Sensitivity Analysis

Evaluates the robustness of research findings by testing how results change under different analytical assumptions and data conditions.