探索我们完整的 Claude 技能集合,扩展 AI 代理的能力。
Performs automated differential gene expression analysis on bulk RNA-seq data using the PyDESeq2 framework.
Manipulates genomic datasets by reading and writing SAM, BAM, CRAM, VCF, and FASTA files using a Pythonic interface.
Manages biological datasets with automated lineage tracking, ontology-based curation, and FAIR-compliant data lakehouse capabilities.
Executes complex biomedical research tasks across genomics, drug discovery, and clinical analysis using autonomous AI reasoning.
Parses and manipulates Flow Cytometry Standard (FCS) files for scientific data preprocessing and analysis.
Performs constraint-based reconstruction and analysis of metabolic models for systems biology and metabolic engineering.
Performs comprehensive single-cell RNA-seq data analysis, including quality control, clustering, and visualization.
Builds and deploys specialized machine learning models for clinical healthcare data and electronic health records.
Provides AI-ready datasets and benchmarks for therapeutic machine learning and drug discovery tasks.
Explains machine learning model predictions and feature importance using Shapley Additive exPlanations for transparent and interpretable AI.
Performs advanced time series machine learning tasks including classification, forecasting, and anomaly detection using scikit-learn compatible APIs.
Performs comprehensive bioinformatics analysis including sequence manipulation, phylogenetics, and microbial ecology statistics within Python.
Accelerates genomic interval analysis and machine learning preprocessing using a high-performance Rust toolkit with Python bindings.
Analyzes single-cell omics data using deep generative models for batch correction, multi-omic integration, and probabilistic modeling.
Performs rigorous statistical modeling and econometric analysis using regression, time series, and diagnostic testing.
Provides comprehensive cheminformatics capabilities for molecular analysis, manipulation, and property calculation within Claude Code.
Analyzes whole-slide images and multiparametric imaging data for advanced computational pathology and machine learning workflows.
Accesses comprehensive pharmacogenomic data for precision medicine, including gene-drug interactions and CPIC clinical guidelines.
Automates Benchling R&D platform operations including registry management, lab notebook entries, and inventory tracking via the Python SDK.
Detects system hardware capabilities and provides optimized computational strategies for scientific and data-intensive tasks.
Automates the creation, editing, and analysis of professional PowerPoint presentations using programmatic OOXML manipulation and HTML-to-PPT conversion.
Empowers Claude to create, analyze, and format professional Excel spreadsheets and financial models with automated formula recalculation.
Generates publication-quality scientific diagrams, neural network architectures, and flowcharts using specialized Python libraries.
Builds and deploys production-grade bioinformatics pipelines as serverless workflows on the Latch platform.
Facilitates programmatic access to the ClinicalTrials.gov API v2 for advanced trial discovery, patient matching, and medical research data extraction.
Explores and maps complex codebases using AST analysis to provide high-level structural insights while minimizing token consumption.
Generates professional academic research posters using LaTeX packages like beamerposter, tikzposter, and baposter.
Facilitates creative scientific problem-solving by generating hypotheses and exploring interdisciplinary connections as a research ideation partner.
Searches and retrieves life sciences preprints from the bioRxiv database by keywords, authors, and categories.
Accesses and analyzes over 240 million scholarly works, authors, and institutions via the OpenAlex API for automated scientific discovery.
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