Data Science & ML Claudeスキル

ReasoningBank Agent Memory & Adaptive Learning

Enhances AI agents with high-performance adaptive learning and vector-based memory distillation using AgentDB.

AI Swarm Orchestration

Orchestrates multi-agent AI swarms with dynamic topologies and parallel execution for complex distributed tasks.

Scientific Computing Resource Detector

Detects hardware resources and provides strategic recommendations for optimal scientific computing and data processing.

Plotly Data Visualization

Generates interactive, publication-quality scientific and statistical charts using the Plotly Python library.

Aeon Time Series Machine Learning

Implements advanced time series machine learning workflows for classification, forecasting, and anomaly detection using scikit-learn compatible APIs.

LatchBio Bioinformatics Integration

Builds and deploys serverless bioinformatics workflows using the Latch SDK and cloud infrastructure.

Reactome Biological Pathways & Analysis

Queries the Reactome database to perform biological pathway analysis, gene-pathway mapping, and expression enrichment for systems biology research.

Pymoo Optimization Assistant

Solves complex single, multi, and many-objective optimization problems using evolutionary algorithms and Pareto-optimal analysis.

AlphaFold Database Integration

Accesses and analyzes over 200 million AI-predicted protein structures from the AlphaFold DB for structural biology and drug discovery.

Academic Literature Review

Conducts systematic, multi-database academic literature reviews with automated citation verification and professional formatting.

Scholar Evaluation Framework

Systematically evaluates research papers, literature reviews, and academic methodologies using the ScholarEval framework to ensure scientific rigor and novelty.

Ensembl Genome Database Integration

Accesses the Ensembl REST API to retrieve genomic sequences, gene annotations, and variant data for over 250 species.

RDKit Cheminformatics

Provides comprehensive cheminformatics capabilities for molecular analysis, manipulation, and drug discovery workflows.

Scientific Brainstorming

Facilitates collaborative research ideation by generating hypotheses, identifying research gaps, and exploring interdisciplinary connections for scientific problem-solving.

ClinicalTrials.gov Database

Accesses the ClinicalTrials.gov API v2 to search, filter, and export global clinical research data for medical analysis.

Metabolomics Workbench Database

Integrates with the NIH Metabolomics Workbench REST API to query metabolite data, standardized nomenclature, and experimental studies for biomarker discovery.

Vaex Big Data Analysis

Processes and analyzes massive tabular datasets with billions of rows using out-of-core DataFrame operations and lazy evaluation.

Pymatgen Materials Science

Facilitates advanced materials analysis, crystal structure manipulation, and computational workflows using the Python Materials Genomics library.

NeuroKit2 Biosignal Analysis

Processes and analyzes complex physiological data including ECG, EEG, and EDA for scientific research and health applications.

Scientific Critical Thinking

Evaluates scientific research rigor and methodology through systematic analysis of experimental design, statistical validity, and potential biases.

Stable Baselines3 Reinforcement Learning

Implements and optimizes reinforcement learning workflows using Stable Baselines3 to train reliable RL agents and design custom Gym environments.

Data & AI Engineering

Builds and deploys robust machine learning models, data pipelines, and intelligent LLM applications using Python and industry-standard frameworks.

Statistical Analysis for Research

Performs comprehensive statistical hypothesis testing, regression analysis, and Bayesian modeling with automated assumption checking and APA-style reporting.

deepTools NGS Analysis

Processes and visualizes high-throughput sequencing data to generate publication-quality genomic insights and quality control reports.

PennyLane Quantum Computing

Develops and optimizes quantum machine learning models and circuits across multiple hardware platforms using automatic differentiation.

DeepChem Molecular ML

Simplifies molecular machine learning workflows for drug discovery, property prediction, and materials science using DeepChem's specialized toolsets.

Data, AI & Machine Learning Roadmap

Provides comprehensive guidance and implementation patterns for data science, machine learning engineering, and AI application development.

Molfeat Molecular Featurization

Converts chemical structures into numerical representations for machine learning using over 100 specialized featurizers and pretrained models.

Ericsson RAN Feature Processor

Optimizes Ericsson RAN features through Managed Object intelligence and advanced parameter correlation analysis.

OMERO Microscopy Integration

Manages and analyzes microscopy image data within the OMERO platform using the Python API for scientific workflows.