Data Science & ML Claude 스킬

Grok Prompt Engineering

Provides specialized guidance for crafting high-performance prompts for xAI's Grok model using real-time knowledge and conversational styles.

Gemini Prompt Engineering

Optimizes AI workflows by providing expert guidance and implementation patterns for Google Gemini models.

Times Square Integration

Integrates the Times Square notebook execution system into web applications using established patterns for data fetching, real-time updates, and URL management.

Integrative Methylation-Expression Analysis

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

Methylation Variability Analysis

Quantifies CpG-level methylation variability and epigenetic heterogeneity from whole-genome bisulfite sequencing data using standardized statistical workflows.

Known Motif Scanning

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

Differential Methylation Analysis

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

Loop Annotation

Annotates chromatin loops with regulatory and structural information, including enhancer-promoter mappings and CTCF-peak overlap.

Replicates Incorporation

Manages genomic experimental reproducibility by pooling BAM files, generating pseudo-replicates, and performing IDR or consensus peak analysis.

Genomic Feature Annotation & Visualization

Annotates genomic regions with biological features and generates visual distribution summaries using the Homer bioinformatics suite.

Alignment Quality Control

Evaluates technical mapping statistics for ChIP-seq and ATAC-seq BAM files to ensure data integrity and aligner performance before downstream analysis.

Hi-C TAD Calling & Visualization

Identifies topologically associating domains (TADs) from Hi-C data and generates high-resolution contact map visualizations with boundary overlays.

Local Methylation Profiling

Generates and visualizes DNA methylation distribution patterns around specific genomic features such as promoters, enhancers, or transcription factor binding sites.

Differential TAD Analysis

Performs differential topologically associating domain (TAD) analysis to identify significant chromatin architecture changes between experimental conditions using HiCExplorer.

Global Methylation Profiling

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

Hi-C Compartment Shift Analysis

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

Hi-C Matrix Quality Control

Performs standardized quality control analysis on Hi-C contact matrices to evaluate genomic data depth, uniformity, and reproducibility.

De Novo Motif Discovery

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

BAM Filtration

Filters raw BAM files by removing mitochondrial reads, PCR duplicates, and blacklisted regions to prepare genomic data for peak calling.

Chromatin State Inference

Analyzes histone modification ChIP-seq data to segment the genome into discrete chromatin states using ChromHMM workflows.

Methylation & Chromatin Feature Correlation

Integrates DNA methylation data with chromatin features like ATAC-seq and histone marks to analyze epigenomic relationships and regulatory patterns.

Nested TAD Detection

Identifies hierarchical Topologically Associating Domain (TAD) structures from Hi-C contact maps using the OnTAD algorithm.

Hi-C A/B Compartment Analysis

Performs PCA-based A/B compartment calling and interaction analysis on Hi-C genomic datasets.

BibFilter

Filters and organizes bibliography entries by author, year, keyword, and entry type to streamline research workflows.

Treasure Data Python SDK

Streamlines data querying and ingestion between Python analytical workflows and Treasure Data using the official pytd SDK.

Genomic Interval Machine Learning

Builds and trains machine learning models on genomic interval data to generate embeddings for regions, single cells, and metadata.

Astropy Scientific Computing

Provides comprehensive tools for astronomical data analysis, including coordinate transformations, unit conversions, and FITS file manipulation.

Aeon Time Series Machine Learning

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

AgentDB Reinforcement Learning Plugins

Deploys and trains advanced reinforcement learning algorithms for autonomous agents to optimize behavior through experience.

Tool Experimenter

Systematically refines and validates research tools through multi-phase iterative testing and rigorous data-driven evaluation.