Data Science & ML Claude 技能

Data Cleaning & Quality Remediation

Performs systematic data quality remediation by detecting duplicates, handling outliers, and standardizing datasets for reliable analysis.

Research Randomization Logic

Implements rigorous randomization procedures for experimental research and unbiased participant allocation.

ReasoningBank Intelligence

Implements adaptive learning and meta-cognitive capabilities for AI agents to optimize strategies based on historical experience.

DuckDB Quadruple Interleave

Facilitates chaotic context injection by performing interleaved random walks across multiple DuckDB database clusters using coupled pendulum dynamics.

Scientific Critical Thinking

Evaluates research rigor and scientific claims by assessing methodology, statistical validity, and potential biases using standardized frameworks.

Databricks Model Serving

Deploys and manages production-grade machine learning models on Databricks with support for A/B testing and auto-scaling.

Cognitive Surrogate Engine

Constructs high-fidelity psychological models from interaction patterns to predict intellectual trajectories and maintain authentic voice consistency.

Experiment Design & Research Rigor

Facilitates the creation of methodologically sound research studies following NIH rigor standards and experimental best practices.

Publication Prep Research Assistant

Prepares submission-ready research manuscripts by automating formatting, reporting guideline compliance, and journal selection workflows.

Hypothesis Testing

Guides the selection, assumption checking, and interpretation of statistical hypothesis tests for rigorous research data analysis.

De Novo Motif Discovery

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

NeuroKit2 Biosignal Analysis

Processes and analyzes complex physiological signals including ECG, EEG, and EDA for psychophysiology research and medical data science.

Hi-C Matrix Quality Control

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

Research Ethics & Compliance

Provides PhD-level guidance on research ethics, IRB compliance, and data privacy analysis for study protocols and algorithmic models.

Hi-C Compartment Shift Analysis

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

Human Metabolome Database Explorer

Accesses the Human Metabolome Database (HMDB) to retrieve detailed chemical properties, biomarker data, and spectral information for over 220,000 metabolites.

Vector Field Dynamics

Models and analyzes dynamical systems by assigning vectors to points in phase space to define complex flows and trajectories.

Global Methylation Profiling

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

Enzyme.jl Automatic Differentiation

Provides high-performance LLVM-level automatic differentiation for Julia code on CPU and GPU architectures.

Shadow Goblin

Integrates advanced topological graph theory and bicomodule structures into Claude for complex scientific computing and algebraic modeling.

Memory Manager for elizaOS

Optimizes AI agent memory usage and manages conversation context through advanced pruning and archiving strategies.

Differential TAD Analysis

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

Birkhoff Average Analysis

Calculates the time average of observables along trajectories to analyze the long-term qualitative behavior of dynamical systems.

Local Methylation Profiling

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

Pymatgen Materials Analysis

Automates materials science analysis and computational chemistry workflows using the Pymatgen library.

Architecting Memory

Designs and implements evolutionary persistent memory architectures for AI agent systems using RAG and Knowledge Graphs.

Advanced Excel & Spreadsheet Processing

Manages professional-grade spreadsheet creation, editing, and financial modeling with rigorous formula verification and industry-standard formatting.

RAG Implementation & Engineering

Builds robust Retrieval-Augmented Generation (RAG) systems using vector databases and advanced semantic search architectures.

Dask Parallel Computing

Scales Python, pandas, and NumPy workflows across multiple cores or clusters for larger-than-memory datasets.

AnnData Scientific Data Management

Manages annotated data matrices for single-cell genomics and large-scale biological datasets using the AnnData framework.