Data Science & ML Claude 스킬

TidyR Model Evaluation

Streamlines machine learning model performance assessment in R using the tidymodels ecosystem.

R Survival Analysis Patterns

Implements comprehensive survival analysis and time-to-event modeling patterns using the R statistical programming language.

Mendelian Randomization in R

Performs robust causal inference using genetic variants through a comprehensive suite of Mendelian Randomization (MR) methods and sensitivity analyses.

Advanced Excel & Data Analysis

Manages complex spreadsheet creation, modification, and financial modeling with a focus on dynamic formulas and industry-standard formatting.

Wesichain Core

Builds composable, type-safe LLM pipelines and chains using Rust-native abstractions.

RAG Implementation Guide

Builds sophisticated Retrieval-Augmented Generation systems to ground LLM applications in external knowledge and proprietary data.

Data Visualization Insight

Explores datasets and generates interactive visualizations in marimo notebooks using Polars and Plotly Graph Objects.

AI Text Summarizer & Processor

Automates large-scale text summarization and translation using intelligent length-based routing and asynchronous processing.

Vision & Multimodal Capabilities

Powers Claude with advanced visual perception to analyze images, process PDFs, and extract structured data from visual inputs.

Ollama Model Management & Optimization

Optimizes local LLM orchestration and GPU performance for Ollama-integrated AI environments.

LLM Integration & Orchestration

Integrates multiple LLM providers like Anthropic, OpenAI, and Google Gemini into applications using advanced orchestration and reasoning patterns.

DS-STAR Data Science Framework

Automates complex data science workflows using a multi-agent architecture and optimized model routing for efficient, iterative data analysis.

Perception Pipeline

Deploys and manages advanced smart home perception layers including NVR, facial recognition, and local voice processing pipelines.

ReasoningBank with AgentDB

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

Scvitools

Analyzes single-cell omics data using deep probabilistic models for integration, batch correction, and differential expression.

Microsoft Agent Orchestrator

Orchestrates complex multi-agent systems using Microsoft AutoGen and Semantic Kernel with local LLM support.

Knowledge Ingestion Patterns

Implements systematic data ingestion strategies for RAG systems using optimized chunking and metadata patterns.

Coercion & Duress Evidence Clerk

Analyzes historical document archives to identify and index evidence of forced surrenders, threats, and procedural irregularities with legal-grade precision.

AI Core Command Center

Deploys and manages a self-hosted AI infrastructure stack including LLM proxies, inference servers, vector databases, and observability tools.

Bioinformatics Experiment Manager

Manages end-to-end bioinformatics research by orchestrating hypothesis-driven experiment planning, execution, and standardized lab notebook documentation.

Ahling Intelligence Layer

Deploys and manages a sophisticated AI infrastructure stack including graph databases, vector search, and multi-agent orchestration.

LangGraph Architecture Analysis

Analyzes LangGraph agent architectures to identify performance bottlenecks and generate data-driven improvement strategies.

LangGraph Architect

Architects and implements sophisticated graph-based AI agents and multi-agent workflows using LangGraph.

SAM3 Image Segmentation API

Provides standardized API patterns and implementation guidance for Meta's Segment Anything Model 3 (SAM3) across image and video tasks.

Bulk RNA-seq Dataset Curator

Automates the end-to-end processing and curation of bulk RNA-seq datasets for VEuPathDB genomic resources.

Scientific Analysis & Reporting

Generates structured scientific research reports by analyzing raw data, verifying physical models, and calculating quantitative performance metrics.

LA-Bench Parser

Extracts structured experimental protocol data and instructions from LA-Bench format JSONL files.

ML Pipeline Workflow

Builds and orchestrates end-to-end MLOps pipelines from data preparation through model training to production deployment.

CBDB API

Queries the China Biographical Database to retrieve detailed biographical information, social relationships, and official appointments of historical Chinese figures from the 7th century BCE through the 19th century CE.

Network Meta-Analysis (NMA) Methodology

Provides comprehensive methodological guidance and code implementations for conducting rigorous network meta-analyses following international standards.