Data Science & ML Claude 스킬

Scholar Evaluation

Systematically evaluates research papers and scholarly work using the peer-reviewed ScholarEval framework for soundness and contribution.

Metabolomics Workbench Database

Accesses the NIH Metabolomics Workbench to query metabolite structures, study metadata, and standardized chemical nomenclature for biomarker discovery.

Scientific Brainstorming

Facilitates collaborative research ideation through hypothesis generation, interdisciplinary exploration, and systematic challenge of scientific assumptions.

OpenAlex Scholarly Database

Accesses and analyzes over 240 million scholarly works, authors, and institutions through the OpenAlex API for comprehensive academic research.

Opentrons Lab Automation

Automates laboratory workflows by generating and optimizing Python protocols for Opentrons Flex and OT-2 liquid handling robots.

DNAnexus Integration

Automates genomics pipeline development and data management on the DNAnexus cloud platform using the dxpy Python SDK.

Arboreto GRN Inference

Infers large-scale gene regulatory networks from transcriptomics data using scalable machine learning algorithms like GRNBoost2 and GENIE3.

Statistical Analysis Toolkit

Conducts rigorous statistical hypothesis tests, regression models, and Bayesian analyses with APA-style reporting.

DrugBank Database Analysis

Accesses and analyzes comprehensive pharmaceutical data from DrugBank, including drug properties, interactions, and chemical structures.

Scientific Critical Thinking

Evaluates research rigor, methodology, and statistical validity to critically analyze scientific claims and evidence quality.

Self-Evolving Agent (DGM)

Implements Darwin Gödel Machine patterns to enable AI agents to autonomously improve their code and capabilities through open-ended evolution.

PyOpenMS Mass Spectrometry Analysis

Simplifies mass spectrometry data processing and analysis within Python-based proteomics and metabolomics workflows.

PyHealth AI Toolkit

Develops and deploys specialized machine learning models for healthcare using clinical data and medical coding systems.

Reactome Database

Queries the Reactome REST API for pathway analysis, gene enrichment, and molecular interaction mapping in systems biology studies.

FluidSim CFD Framework

Simulates complex fluid dynamics using high-performance Python-based pseudospectral methods for scientific research.

Matchms MS Analysis

Processes mass spectrometry data to calculate spectral similarities, harmonize metadata, and identify chemical compounds.

Pymatgen - Materials Science Toolkit

Facilitates advanced materials analysis, crystal structure manipulation, and Materials Project database integration for computational science workflows.

Ensembl Genomic Database Integration

Accesses and analyzes comprehensive vertebrate genomic data from the Ensembl REST API for over 250 species.

AlphaFold Database Access

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

PyMC Bayesian Modeling

Builds, fits, and validates Bayesian statistical models using PyMC and ArviZ for probabilistic programming.

Gtars Genomic Data Analysis

Analyzes and processes high-performance genomic interval data for computational biology and machine learning workflows.

Pydicom Medical Imaging

Processes medical imaging data in the DICOM standard format for healthcare applications and radiology workflows.

BioRxiv Research Database

Searches and retrieves metadata and full-text PDFs from the bioRxiv preprint server for life sciences research discovery.

Aeon Time Series ML

Simplifies complex time series machine learning tasks including forecasting, classification, and anomaly detection using a scikit-learn compatible toolkit.

Seaborn Statistical Visualization

Generates publication-quality statistical graphics and exploratory data visualizations using the Seaborn Python library.

PubChem Database Explorer

Accesses and queries the world's largest chemical database for compound information, molecular properties, and bioactivity data.

CatColab Petri Nets

Models and analyzes concurrent systems through Petri net logic, token flow dynamics, and categorical foundations.

Active Inference Robotics

Synthesizes Patrick Kenny's discrete active inference framework with K-Scale's JAX/MuJoCo stack for predictive robot control.

LabArchives Integration

Automates electronic lab notebook workflows by managing entries, attachments, and backups through the LabArchives REST API.

CELLxGENE Census Genomics

Provides programmatic access to standardized single-cell genomics data for large-scale analysis and machine learning.