Data Science & ML Claude 스킬

AGILab Runbook

Standardizes repository workflows for AGILab development, environment management, and AI engineering application deployment.

LLM Performance Evaluation

Implements comprehensive evaluation frameworks for Large Language Model applications using automated metrics, human feedback, and LLM-as-judge patterns.

CUDA Development Guide

Optimizes CUDA and GPU computing development with performance-focused guardrails and industry-standard implementation patterns.

Machine Learning Model Trainer

Automates the end-to-end machine learning lifecycle from data analysis and model selection to training and performance evaluation.

Research Superpowers Getting Started

Orchestrates systematic literature searches and reviews by finding, screening, and extracting data from scientific papers across PubMed and Semantic Scholar.

ElevenLabs Text-to-Speech

Converts text into high-quality audio files using the ElevenLabs API with customizable voice parameters and presets.

Prompt Engineering Patterns

Optimizes LLM performance and reliability through advanced prompting techniques like few-shot learning and chain-of-thought reasoning.

Senior Prompt Engineering

Optimizes LLM performance through advanced prompt design, agentic system architecture, and rigorous evaluation frameworks.

Episode Start

Initializes tracking sessions for AI execution patterns to enable continuous self-learning and behavioral evolution within agentic workflows.

KBase Data Lakehouse Query

Enables natural language querying and exploration of biological and microbiome data within the KBase/BERDL Data Lakehouse.

LLM Evaluation Suite

Implements systematic evaluation strategies for Large Language Model applications using automated metrics, LLM-as-judge patterns, and statistical testing.

Apple MLX Development

Develops high-performance, idiomatic machine learning code for Apple Silicon using the MLX framework.

Local Text-to-Speech

Generates high-quality speech audio locally on Apple Silicon using MLX acceleration and the Kokoro model.

Gemini CLI Integration

Facilitates seamless interaction with the Gemini CLI to leverage Google Gemini models directly within the Claude Code environment.

Quantitative Sociology Findings Writer

Drafts publication-ready Results sections for quantitative sociology research based on established academic patterns.

Systematic Literature Search

Automates systematic literature reviews for sociology and academic research using the OpenAlex API and structured screening workflows.

Transfer Learning Model Adapter

Automates the fine-tuning and adaptation of pre-trained machine learning models for custom datasets and specialized tasks.

Transfer Learning Model Adapter

Automates the fine-tuning and adaptation of pre-trained machine learning models for specialized tasks and datasets.

Regression Analysis Tool

Performs advanced regression analysis and predictive modeling to identify trends and relationships within datasets.

Sentiment Analysis & Opinion Mining

Analyzes text data to identify emotional tone, classifying content as positive, negative, or neutral for actionable insights.

NLP Text Analyzer

Analyzes textual data to perform sentiment analysis, keyword extraction, and topic modeling using advanced natural language processing.

Recommendation System Engine

Builds and implements personalized recommendation systems using collaborative, content-based, and hybrid filtering techniques.

AI Recommendation System Builder

Develops personalized recommendation engines using collaborative filtering, content-based analysis, and hybrid modeling techniques.

Regression Analysis & Modeling

Performs advanced regression analysis and predictive modeling to identify variable relationships and forecast data trends using automated statistical tools.

ML Model Evaluation Suite

Evaluates machine learning model performance using a comprehensive suite of metrics including accuracy, precision, and F1-score.

Machine Learning Model Explainability

Provides deep interpretability and explainability for machine learning models using advanced techniques like SHAP and LIME.

Machine Learning Model Explainability

Provides deep interpretability and explainability for machine learning models using SHAP and LIME techniques.

Machine Learning Model Trainer

Automates the end-to-end machine learning lifecycle from data analysis and model selection to training, evaluation, and artifact persistence.

AI Model Versioning Tracker

Manages AI/ML model versions, performance metrics, and lineage tracking directly within the Claude Code environment.

Zotero RAG Library Search

Powers semantic search and contextual retrieval across local libraries of academic papers and markdown documents.