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Simplifies the implementation and training of reinforcement learning agents using the Stable Baselines3 framework.
Converts diverse file formats including PDFs, Office documents, and media into LLM-optimized Markdown for seamless data ingestion.
Provides programmatic access to over 40 bioinformatics web services for automated biological data retrieval and pathway analysis.
Queries the STRING database for protein-protein interaction networks, functional enrichment, and biological pathway analysis.
Conducts systematic, rigorous reviews of scientific manuscripts and grant proposals by evaluating methodology, statistics, and reporting standards.
Manipulates, extracts, and generates PDF documents using specialized Python libraries and command-line tools for automated document workflows.
Generates professional, production-grade PDF documents including reports, invoices, and data visualizations using the ReportLab Python toolkit.
Performs high-performance nonlinear dimensionality reduction for data visualization and clustering preprocessing using the UMAP algorithm.
Evaluates scientific manuscripts and grant proposals using a systematic toolkit for methodology, statistics, and reporting standards.
Processes and analyzes mass spectrometry data using Python-based spectral similarity, metadata harmonization, and data filtering tools.
Develops and trains Graph Neural Networks (GNNs) for analyzing irregular data structures and relational datasets.
Facilitates molecular property prediction and drug discovery through specialized machine learning models and chemical data featurization.
Performs comprehensive exploratory data analysis and generates detailed reports for over 200 scientific file formats.
Creates publication-quality statistical graphics and exploratory data visualizations using a high-level Python interface.
Access and analyze over 200 million AI-predicted protein structures for structural biology and computational drug discovery.
Simplifies molecular cheminformatics and drug discovery workflows using a Pythonic abstraction layer over RDKit.
Queries the ChEMBL database for bioactive molecules, drug targets, and medicinal chemistry bioactivity data.
Researches academic literature, technical documentation, and scientific data with automatic model selection and citation support.
Accesses and analyzes 3D protein and nucleic acid structures from the RCSB Protein Data Bank for structural biology and drug discovery.
Queries the NCBI Gene database to retrieve comprehensive genetic information, sequences, and functional annotations for biological research.
Evaluates research rigor, methodology, and statistical validity using standardized frameworks like GRADE and Cochrane ROB.
Interfaces with the world's largest chemical database to search, retrieve, and analyze molecular data and bioactivity.
Accelerates genomic interval analysis and machine learning preprocessing using a high-performance Rust toolkit with Python bindings.
Evaluates scholarly research papers and proposals using the peer-reviewed ScholarEval framework to ensure scientific rigor and publication readiness.
Performs comprehensive bioinformatics analysis including sequence manipulation, phylogenetics, and microbial ecology statistics within Python.
Accesses the world's leading protein sequence and functional information resource via the UniProt REST API.
Automates scientific hypothesis generation and empirical testing by synthesizing observational data with research literature.
Integrates Hugging Face Transformers to load, fine-tune, and run inference on thousands of pre-trained AI models across multiple modalities.
Performs real-time AI web searches with citations using Perplexity models to provide up-to-date information and scientific literature.
Converts diverse file formats including PDF, Word, and Excel into token-efficient Markdown for seamless LLM processing.
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