发现data science & ml类别的 Claude 技能。浏览 53 个技能,找到适合您 AI 工作流程的完美功能。
Streamlines genomics pipeline development and data management on the DNAnexus cloud platform using the dxpy Python SDK.
Accesses and analyzes over 200 million AI-predicted protein structures from the AlphaFold DB for structural biology and drug discovery.
Provides a unified interface for rapid bioinformatics queries across 20+ genomic databases including Ensembl, AlphaFold, and NCBI.
Conducts systematic, multi-database academic literature reviews with automated citation verification and professional formatting.
Generates testable, evidence-based scientific hypotheses and experimental designs across multiple research domains.
Systematically evaluates research papers, literature reviews, and academic methodologies using the ScholarEval framework to ensure scientific rigor and novelty.
Builds, optimizes, and executes quantum circuits and algorithms across various hardware providers and simulators.
Accesses the Ensembl REST API to retrieve genomic sequences, gene annotations, and variant data for over 250 species.
Provides comprehensive cheminformatics capabilities for molecular analysis, manipulation, and drug discovery workflows.
Facilitates collaborative research ideation by generating hypotheses, identifying research gaps, and exploring interdisciplinary connections for scientific problem-solving.
Accesses the ClinicalTrials.gov API v2 to search, filter, and export global clinical research data for medical analysis.
Integrates with the NIH Metabolomics Workbench REST API to query metabolite data, standardized nomenclature, and experimental studies for biomarker discovery.
Performs high-performance genomic interval analysis, overlap detection, and machine learning tokenization using Rust-powered tools.
Processes and analyzes massive tabular datasets with billions of rows using out-of-core DataFrame operations and lazy evaluation.
Facilitates advanced materials analysis, crystal structure manipulation, and computational workflows using the Python Materials Genomics library.
Processes and analyzes complex physiological data including ECG, EEG, and EDA for scientific research and health applications.
Evaluates scientific research rigor and methodology through systematic analysis of experimental design, statistical validity, and potential biases.
Implements and optimizes reinforcement learning workflows using Stable Baselines3 to train reliable RL agents and design custom Gym environments.
Performs comprehensive statistical hypothesis testing, regression analysis, and Bayesian modeling with automated assumption checking and APA-style reporting.
Trains and deploys complex neural network architectures within distributed E2B sandbox environments using Flow Nexus.
Processes and visualizes high-throughput sequencing data to generate publication-quality genomic insights and quality control reports.
Develops and optimizes quantum machine learning models and circuits across multiple hardware platforms using automatic differentiation.
Simplifies molecular machine learning workflows for drug discovery, property prediction, and materials science using DeepChem's specialized toolsets.
Converts chemical structures into numerical representations for machine learning using over 100 specialized featurizers and pretrained models.
Optimizes Ericsson RAN features through Managed Object intelligence and advanced parameter correlation analysis.
Manages and analyzes microscopy image data within the OMERO platform using the Python API for scientific workflows.
Builds, simulates, and executes quantum circuits on simulators and hardware providers using Google's open-source Cirq framework.
Queries and analyzes the OpenAlex database to search scholarly literature, track citations, and perform bibliometric analysis.
Empowers protein engineering and biological research through state-of-the-art ESM3 generative models and ESM C embeddings.
Automates the creation, editing, and analysis of professional-grade Excel spreadsheets with dynamic formulas and industry-standard financial formatting.
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