Data Science & ML Claude 스킬

Differential Methylation Analysis

Identifies differential DNA methylation regions and cytosines between experimental conditions using WGBS methylation tracks.

Hi-C Loop Calling

Identifies and calls chromatin loops from Hi-C data files in .mcool, .cool, or .hic formats for genomic visualization and analysis.

ATAC-seq Footprint Analysis

Performs transcription factor footprinting and differential binding detection on ATAC-seq data using the TOBIAS framework.

De Novo Motif Discovery

Identifies novel and known transcription factor binding motifs within genomic regions or gene promoters using the HOMER analysis suite.

Known Motif Scanning

Identifies and maps transcription factor binding motifs within genomic regions like ChIP-seq and ATAC-seq peaks using HOMER.

Global Methylation Profiling

Performs genome-wide DNA methylation analysis to characterize patterns, genomic feature distributions, and sample similarities from sequencing data.

RAG Chunking Strategies

Implements optimized document splitting and processing workflows for Retrieval-Augmented Generation (RAG) systems.

Integrative Methylation-Expression Analysis

Integrates differential methylation and gene expression datasets to identify coordinated epigenetic regulation patterns and classify regulatory relationships.

Hi-C Compartment Shift Analysis

Performs A/B compartment shift analysis between Hi-C samples using PC1 eigenvector values and replicate-aware statistical methods.

Subgroup Analysis

Conducts detailed subgroup analyses to examine effect moderation, explore dataset heterogeneity, and identify differential outcomes across specific populations.

Meta-Analysis

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

Risk of Bias Assessment

Evaluates methodological quality and potential biases in research studies using industry-standard frameworks for systematic reviews.

Strategy Translator

Translates trading strategy documentation into production-ready Python backtesting code and TradingView Pine Script.

Julia Numerical Computing

Executes complex numerical calculations, linear algebra operations, and scientific computing tasks using the high-performance Julia language.

ERA5 Climate Data Downloader

Retrieves global atmospheric, land, and ocean climate reanalysis data from the Copernicus Climate Data Store using the CDS API.

AI Multimodal Processing

Processes, analyzes, and generates audio, video, image, and document content using Google Gemini's powerful multimodal API.

LangChain Architecture

Design and implement sophisticated LLM applications using LangChain's agents, memory, and tool integration patterns.

Prompt Engineer

Engineers and optimizes high-quality LLM prompts across multiple models using established best practices and systematic refinement techniques.

Claude Model Selection

Guides the selection of the optimal Claude model for custom agent tasks based on cost, speed, and reasoning requirements.

Hydrological Forecasting Suite

Performs hydrological modeling and streamflow forecasting using Julia-based classical and machine learning models.

Implement Paper From Scratch

Guides developers through the methodical, step-by-step implementation of research papers to ensure deep understanding and reproducible results.

Financial Modeling

Builds comprehensive financial models including DCF analysis, sensitivity testing, and Monte Carlo simulations for investment and valuation decisions.

Research Question Refiner

Transforms vague research interests into concrete, actionable, and tractable research questions with a systematic feasibility analysis.

Data Gouv France

Accesses, downloads, and analyzes French public open data from data.gouv.fr using a specialized Python library and integrated documentation.

Excel & Spreadsheet Expert

Creates, modifies, and analyzes Excel spreadsheets with production-grade formulas, professional formatting, and financial modeling standards.

Prompt Engineering Standards

Optimizes LLM performance and context efficiency using Anthropic-inspired prompt engineering and signal-to-noise optimization principles.

Prompt Engineering Patterns

Optimizes LLM performance and reliability through advanced prompt engineering techniques and structured reasoning patterns.

Schwab Market Data Snapshot

Synchronizes and caches comprehensive Charles Schwab market data, including account status, real-time quotes, and option chains for trading agents.

ML Pipeline Workflow

Orchestrates end-to-end MLOps pipelines from data preparation and model training to automated production deployment.

AI Prompting Standards

Optimizes AI agent performance through Anthropic-based context engineering and prompt structure standards.