Data Science & ML Claude 技能

LLM Evaluation Framework

Implements rigorous evaluation strategies for LLM applications using automated metrics, human-in-the-loop feedback, and systematic benchmarking.

RAG Implementation Toolkit

Builds robust Retrieval-Augmented Generation (RAG) systems using vector databases and semantic search to ground AI responses in proprietary knowledge.

LangChain Application Architect

Architects sophisticated LLM applications using the LangChain framework to implement agents, memory management, and complex workflow chains.

Teradata SVM Classification

Automates the end-to-end Support Vector Machine (SVM) workflow for linear and non-linear classification tasks within Teradata Vantage.

Microsoft Agent Orchestrator

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

Mendelian Randomization in R

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

Example Analysis Skill

Provides a standardized workflow for data preparation, exploratory analysis, and high-quality visualization using Python libraries.

Perception Pipeline

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

Vector RAG Tool

Indexes codebases and documents for semantic search to enable local Retrieval-Augmented Generation (RAG) using Ollama and FAISS.

Yanex Experiment Tracking

Streamlines the execution, management, and analysis of machine learning experiments using a lightweight, Git-aware Python framework.

Gemini Google Maps Tool

Integrates Gemini AI with Google Maps grounding to provide accurate, location-aware responses and recommendations for over 250 million places worldwide.

Vector Database Management

Facilitates seamless integration with vector databases for semantic search, retrieval-augmented generation (RAG), and high-dimensional embedding management.

Gioia Methodology

Constructs and validates hierarchical data structures for qualitative research, transforming grounded participant language into abstract theoretical dimensions.

Tidymodels Review Patterns

Automates code review for R Tidymodels workflows to prevent data leakage and ensure statistical best practices.

Analysis Orchestration

Optimizes AI-assisted qualitative research through model selection guidance, cost estimation, and document processing strategies.

R Causal Mediation Analysis

Performs advanced causal mediation analysis in R to decompose total effects into direct and indirect pathways across various statistical models.

R Pharmacokinetics & PD Modeling

Streamlines pharmacokinetic and pharmacodynamic modeling in R using industry-standard packages and best practices.

Real-World Evidence Analysis in R

Generates real-world evidence from observational data using advanced R-based causal inference and target trial emulation techniques.

Advanced Adaptive Trial Design in R

Design, simulate, and analyze complex adaptive clinical trials using industry-standard R packages and Bayesian methods.

Genomics & Bioinformatics Analysis

Performs comprehensive genomics and bioinformatics statistical analysis using R and Bioconductor packages.

R Network Meta-Analysis Toolkit

Performs comprehensive network meta-analyses in R using frequentist and Bayesian frameworks to compare multiple treatments simultaneously.

Bayesian Modeling in R

Builds and analyzes robust Bayesian statistical models using Stan-based R packages like brms and rstanarm.

R Diagnostic Accuracy Analysis

Performs comprehensive diagnostic test accuracy analysis in R, including ROC curves, cutpoint optimization, and meta-analysis.

Individual Participant Data (IPD) Meta-Analysis

Synthesizes patient-level data across multiple studies using advanced meta-analysis methods and R statistical frameworks.

Tidyverse Model Tuning

Optimizes machine learning hyperparameters using the R Tidymodels ecosystem for improved model performance.

Resampling Strategies for Tidy Models

Implements robust model validation and resampling techniques using the R tidymodels ecosystem and rsample package.

Meta-Analysis Methods in R

Implements comprehensive meta-analysis workflows in R, including effect size calculation, heterogeneity assessment, and publication bias detection.

Health Economics Analysis in R

Performs advanced health economic evaluations including cost-effectiveness analysis, Markov modeling, and probabilistic sensitivity analysis in R.

Gemma 3 270M Integration Template

Streamlines the integration and testing of Gemma 3 270M models within the Claude Code environment.

LLM Application Evaluation

Implements comprehensive evaluation frameworks for LLM applications using automated metrics, human feedback, and systematic benchmarking.