发现data science & ml类别的 Claude 技能。浏览 61 个技能,找到适合您 AI 工作流程的完美功能。
Performs comprehensive statistical hypothesis testing, regression analysis, and Bayesian modeling with automated assumption checking and APA-style reporting.
Implements and optimizes reinforcement learning workflows using Stable Baselines3 to train reliable RL agents and design custom Gym environments.
Facilitates advanced materials analysis, crystal structure manipulation, and computational workflows using the Python Materials Genomics library.
Evaluates scientific research rigor and methodology through systematic analysis of experimental design, statistical validity, and potential biases.
Analyzes and interprets molecular dynamics simulation trajectories using MDClaw CLI tools to evaluate structural stability and molecular interactions.
Processes and analyzes massive tabular datasets with billions of rows using out-of-core DataFrame operations and lazy evaluation.
Integrates with the NIH Metabolomics Workbench REST API to query metabolite data, standardized nomenclature, and experimental studies for biomarker discovery.
Accesses the ClinicalTrials.gov API v2 to search, filter, and export global clinical research data for medical analysis.
Facilitates collaborative research ideation by generating hypotheses, identifying research gaps, and exploring interdisciplinary connections for scientific problem-solving.
Audits machine learning models and datasets to identify biases and ensure ethical compliance through fairness metrics and mitigation strategies.
Provides comprehensive cheminformatics capabilities for molecular analysis, manipulation, and drug discovery workflows.
Accesses the Ensembl REST API to retrieve genomic sequences, gene annotations, and variant data for over 250 species.
Systematically evaluates research papers, literature reviews, and academic methodologies using the ScholarEval framework to ensure scientific rigor and novelty.
Accesses and analyzes over 200 million AI-predicted protein structures from the AlphaFold DB for structural biology and drug discovery.
Solves complex single, multi, and many-objective optimization problems using evolutionary algorithms and Pareto-optimal analysis.
Queries the Reactome database to perform biological pathway analysis, gene-pathway mapping, and expression enrichment for systems biology research.
Builds and deploys serverless bioinformatics workflows using the Latch SDK and cloud infrastructure.
Implements advanced time series machine learning workflows for classification, forecasting, and anomaly detection using scikit-learn compatible APIs.
Automates the literature research workflow by aggregating, deduplicating, and analyzing papers, code repositories, and technical blogs.
Generates interactive, publication-quality scientific and statistical charts using the Plotly Python library.
Automates Lie group symmetry analysis for differential equations using the ReLie package in the REDUCE Computer Algebra System.
Detects hardware resources and provides strategic recommendations for optimal scientific computing and data processing.
Orchestrates multi-agent AI swarms with dynamic topologies and parallel execution for complex distributed tasks.
Enhances AI agents with high-performance adaptive learning and vector-based memory distillation using AgentDB.
Connects Claude's cognitive orchestration to physical robotics and sensor systems using low-latency control and cryptographic integrity.
Enables direct REST API access to UniProt for protein searching, FASTA sequence retrieval, and cross-database identifier mapping.
Accesses the STRING database to analyze protein-protein interaction networks and perform functional enrichment for systems biology.
Performs comprehensive survival analysis and time-to-event modeling using the scikit-survival library in Python.
Searches and retrieves information from the ZINC database of 230M+ purchasable compounds for drug discovery and virtual screening.
Integrates KEGG REST API access into workflows for biological pathway analysis, gene mapping, and molecular interaction research.
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