Data Science & ML Claude 스킬

Blinding Procedures

Minimizes experimental bias by implementing structured blinding protocols and objectivity standards for scientific research studies.

Effect Size Calculation

Calculates and interprets standardized effect sizes to quantify the practical significance of research findings beyond statistical significance.

Meta-Analysis

Conducts quantitative synthesis by pooling effect sizes across multiple research studies to calculate summary effects and assess statistical heterogeneity.

Randomization

Implements rigorous random assignment procedures for scientific experiments to minimize selection bias and meet CONSORT standards.

Hypothesis Testing

Guides the selection, assumption checking, and interpretation of statistical hypothesis tests for rigorous research data analysis.

AgentDB Vector Search

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

AgentDB Memory Patterns

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

AgentDB Advanced Features

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

Flow Nexus Neural

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

ReasoningBank Intelligence

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

MCP Vector Search Configuration Guide

Provides comprehensive technical guidance for configuring semantic document search and indexing via the Model Context Protocol.

Field Agent Visualization

Generates professional, executive-ready Plotly visualizations using Treasure Data's standardized branding and strict formatting requirements.

Interview Analyst

Conducts systematic qualitative analysis of sociological interview data using grounded theory and theory-informed frameworks.

R Statistical Analyst

Guides researchers through a systematic, phased workflow to produce publication-ready sociological research and quantitative R analysis.

Culture Index Interpreter

Analyzes Culture Index surveys and behavioral assessments to provide insights into team dynamics, hiring, and burnout detection.

TweakTune Data Synthesizer

Designs and generates high-performance pipelines for synthesizing high-quality LLM training datasets, conversations, and structured data.

PolicyEngine Impact Analysis

Generates policy impact simulations, distributional analyses, and interactive dashboards using the PolicyEngine framework.

PolicyEngine Simulation Mechanics

Optimizes and manages PolicyEngine microsimulations with advanced caching, data access, and entity mapping patterns.

Abductive Analyst

Conducts systematic qualitative interview analysis using abductive reasoning to generate novel theoretical insights from research data.

Computational Text Analyst

Guides systematic computational text analysis for social science research using R or Python to produce publication-ready results.

Modelica Simulation & Modeling

Enables acausal, multi-domain modeling and simulation of complex physical systems using Modelica and Wolfram Language.

Critical Opalescence Physics

Analyzes and simulates critical opalescence signatures and phase transition dynamics in physical and biological systems.

Waddington Landscape Modeling

Models developmental biology cell fate transitions through gradient flow, potential surfaces, and fractional diffusion dynamics.

Levity-Levin Algorithmic Play

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

Gay-Julia: Deterministic Color Sampling

Generates deterministic, wide-gamut color palettes and GF(3) trit assignments for scientific visualization and UI theming in Julia.

Acquisition System Setup

Configures and verifies scientific data acquisition systems by automating hardware discovery and parameter management.

DRIVER Project Initializer

Initializes a structured finance and quantitative development environment following the DRIVER methodology.

DRIVER Finance & Quant Workflow

Implements the DRIVER methodology for research-driven, collaborative finance and quantitative tool development.

DRIVER Methodology Guide

Provides a comprehensive overview and navigation for the DRIVER methodology used in AI-augmented finance and quantitative development.

Rapid Implementation & Preview

Builds and runs code sections immediately to provide instant visual feedback without unnecessary explanation.