Data Science & ML Claude 스킬

Quantitative Backtesting Frameworks

Builds robust, production-grade backtesting systems for trading strategies while mitigating common biases and handling transaction costs.

Perplexity AI Web Search

Enables real-time, AI-powered web searches with cited sources and advanced reasoning capabilities through the Perplexity model family.

Statsmodels Statistics & Econometrics

Implements rigorous statistical modeling, econometrics, and time series analysis using Python's statsmodels library.

US Bank Credit-Deposit Decoupling Analyzer

Analyzes the divergence between US bank loan creation and deposit growth to evaluate the impact of Federal Reserve tightening policies.

MechInterp Glossary and Constraints

Provides domain-specific knowledge and experimental constraints for mechanistic interpretability research on Splatoon data models.

RAG Manager

Manages Retrieval-Augmented Generation (RAG) indices to enable semantic search capabilities over BigQuery datasets.

Market Research Report Architect

Generates professional, 50+ page market research reports in LaTeX format featuring advanced data visualizations and consulting-grade strategic frameworks.

Hypogenic Hypothesis Discovery

Automates scientific hypothesis generation and testing on tabular datasets by combining empirical data patterns with literature insights.

Statistical Analysis Guide

Guides users through statistical test selection, assumption verification, and APA-formatted research reporting.

Scientific Hypothesis Generator

Formulates testable, evidence-based scientific hypotheses and experimental designs from observations using a structured framework.

Crypto Hard Filter Simplification

Streamlines cryptocurrency asset selection by bypassing irrelevant equity filters and handling data gaps in financial datasets.

GeoPandas Spatial Analysis

Performs advanced geospatial vector data analysis, coordinate transformations, and spatial mapping within Python environments.

Scholar Evaluation Framework

Evaluates scholarly work using the ScholarEval framework to provide structured assessments, quantitative scoring, and actionable feedback across research dimensions.

Scientific Schematics

Generates publication-quality scientific diagrams and architectural schematics using AI-driven iterative refinement.

System Resource Detector & Advisor

Detects hardware resources and provides strategic architectural recommendations for computationally intensive scientific tasks.

PyTorch Lightning Assistant

Streamlines deep learning development by organizing PyTorch code into scalable, boilerplate-free Lightning modules and automated training workflows.

PyMC Bayesian Modeling

Builds, fits, and validates sophisticated Bayesian models using PyMC's probabilistic programming interface.

Dask Parallel Computing

Scales Python workflows using parallel and distributed computing for datasets that exceed available memory.

LLM Fine-tuning Coach

Guides users through the end-to-end Large Language Model fine-tuning lifecycle using a coach-driven workflow.

Aeon Time Series Machine Learning

Provides specialized machine learning algorithms for time series tasks including forecasting, classification, and anomaly detection using scikit-learn compatible APIs.

R Causal Mediation Analysis

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

Genomics & Bioinformatics Analysis

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

R Pharmacokinetics & PD Modeling

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

Meta-Analysis Methods in R

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

Fed Unamortized Discount Pattern Detector

Analyzes Federal Reserve unamortized discount trends to identify similarities with historical financial crises using multi-indicator cross-validation.

Presenting Data

Generates professional, data-driven presentations and technical whitepapers with robust citation management and reproducibility standards.

Creating Visualizations

Generates professional terminal-based and image-based visualizations to communicate data patterns and analytics results clearly.

Cleaning Data

Implements a systematic data quality remediation process to detect duplicates, handle outliers, and standardize inconsistencies for reliable analysis.

Oracle Agent Spec Expert

Designs framework-agnostic, portable AI agents and multi-agent workflows using Oracle's Open Agent Specification.

GPT-OSS & vLLM Troubleshooter

Diagnoses and resolves openai_harmony.HarmonyError and tool calling failures when using GPT-OSS models with vLLM.