Data Science & ML Claude 技能

Feature Engineering Toolkit

Enhances machine learning models by automating feature creation, selection, and transformation to optimize predictive performance.

Hyperparameter Tuner

Optimizes machine learning model configurations using advanced search strategies to maximize predictive performance and accuracy.

Zarr Python Scientific Data

Optimizes large-scale N-dimensional array storage and processing using chunked, compressed data formats for cloud-native scientific workflows.

Statistical Analysis Toolkit

Performs comprehensive statistical analysis including hypothesis testing, regression modeling, and Bayesian inference with APA-compliant reporting.

Cirq Quantum Computing

Builds, simulates, and optimizes quantum circuits using Google's Cirq framework for quantum algorithms and hardware execution.

PennyLane Quantum Computing

Builds, trains, and optimizes quantum circuits with hardware-agnostic execution and deep integration with popular machine learning frameworks.

KEGG Database Connector

Accesses the Kyoto Encyclopedia of Genes and Genomes (KEGG) REST API for biological pathway analysis and molecular interaction networks.

Pydicom Medical Imaging

Processes and manipulates DICOM medical imaging data for analysis, anonymization, and format conversion.

LaminDB Data Framework

Manages biological data and workflows with integrated lineage tracking, ontology validation, and FAIR compliance.

PyOpenMS Mass Spectrometry

Analyzes mass spectrometry data for proteomics and metabolomics using the PyOpenMS library.

Polars Data Processing

Performs high-performance data manipulation and analysis using the lightning-fast Polars DataFrame library and Apache Arrow.

Scientific Schematics

Generates publication-quality scientific diagrams and neural network architectures using AI-driven iterative refinement.

ESM Protein Modeling

Enables advanced protein sequence generation, structure prediction, and representation learning using Evolutionary Scale Modeling.

USPTO Database & IP Analysis

Interfaces with United States Patent and Trademark Office (USPTO) APIs to perform advanced patent searches, trademark tracking, and intellectual property analysis.

Data Commons Client

Provides programmatic access to global statistical datasets including demographic, economic, and environmental indicators via the Data Commons API.

Ensembl Genome Database

Queries the Ensembl REST API to retrieve gene data, sequences, and variant analysis for over 250 species.

Agilab Streamlit Pages

Enforces robust Streamlit authoring patterns for session state management, widget key hygiene, and high-performance UI development within the AGILAB framework.

NeuroKit2 Biosignal Analysis

Processes and analyzes complex physiological signals including ECG, EEG, EDA, and more using the NeuroKit2 Python library.

Machine Learning Model Evaluation Suite

Analyzes and benchmarks machine learning models using a comprehensive suite of performance metrics and validation tools.

ChEMBL Database Explorer

Queries the ChEMBL database to retrieve bioactive molecule data, drug targets, and bioactivity measurements for medicinal chemistry research.

PathML Pathology Analysis

Analyzes whole-slide images and multiparametric data using specialized computational pathology workflows and machine learning models.

Machine Learning Model Evaluation Suite

Assesses machine learning model performance using comprehensive metrics to facilitate validation, testing, and optimization workflows.

Data Visualization Creator

Generates professional plots, charts, and graphs from raw data with intelligent, automatic visualization type selection.

AI Recommendation Engine Builder

Builds sophisticated recommendation systems using collaborative filtering, content-based algorithms, and hybrid machine learning models.

Vaex Big Data Analysis

Processes and analyzes massive tabular datasets exceeding RAM limits using high-performance out-of-core DataFrames.

ADK Agent Builder

Architects production-ready autonomous AI agents and multi-agent systems using Google's Agent Development Kit and Claude.

CZ CELLxGENE Census Data Analysis

Enables programmatic access and analysis of the CZ CELLxGENE Census, a collection of over 61 million standardized single-cell genomics records.

UMAP-Learn Dimensionality Reduction

Performs fast, nonlinear dimensionality reduction to visualize high-dimensional data and optimize machine learning clustering workflows.

Statsmodels Statistical Analysis

Performs rigorous statistical modeling and econometric analysis using Python's statsmodels library for deep data insights.

NetworkX Graph Analysis

Analyzes, visualizes, and manipulates complex network structures and graph data using the NetworkX Python library.