AI 에이전트 기능을 확장하는 Claude 스킬의 전체 컬렉션을 살펴보세요.
Provides comprehensive cheminformatics capabilities for molecular analysis, manipulation, and property calculation within Claude Code.
Scales Python data science workflows using parallel and distributed computing for larger-than-memory datasets.
Applies unsupervised machine learning models to genomic interval data for region embeddings, single-cell analysis, and similarity searches.
Processes and analyzes mass spectrometry data using Python-based spectral similarity, metadata harmonization, and data filtering tools.
Automates scientific hypothesis generation and empirical testing by synthesizing observational data with research literature.
Builds and validates advanced Bayesian probabilistic models using PyMC 5.x for scientific discovery and statistical inference.
Conducts high-performance computational fluid dynamics simulations using Python-based pseudospectral methods and MPI parallelization.
Provides comprehensive Python tools for biological computation, sequence analysis, and bioinformatics database access.
Creates publication-quality statistical graphics and exploratory data visualizations using a high-level Python interface.
Implements comprehensive machine learning workflows using scikit-learn, covering data preprocessing, model training, evaluation, and pipeline deployment.
Streamlines deep learning development by organizing PyTorch code into scalable, high-performance Lightning modules and data pipelines.
Manages large-scale N-dimensional arrays with chunking, compression, and cloud-native storage for scientific computing.
Performs comprehensive survival analysis and time-to-event modeling using the scikit-survival library in Python.
Simplifies molecular cheminformatics and drug discovery workflows using a Pythonic abstraction layer over RDKit.
Automates task delegation to cost-optimized or high-reasoning AI models using the CCS CLI directly within your workflow.
Enforces modern, safe, and idiomatic C++ practices based on the official C++ Core Guidelines for C++17/20/23.
Transforms source assets into platform-native social media content and multi-channel marketing campaigns.
Transforms source assets into high-impact, platform-native content for X, LinkedIn, YouTube, and multi-channel campaigns.
Provides a comprehensive template and structured guidance for managing full-stack project architecture, coding standards, and deployment workflows.
Audits Claude Code configurations for security vulnerabilities, injection risks, and misconfigurations using AgentShield.
Implements comprehensive Python testing workflows using pytest, TDD methodologies, and advanced mocking techniques.
Extracts structured financial data from receipt images and PDF documents for automated tax filing and expense management.
Extracts structured financial data from Japanese payment statement (Shiharai Chosho) images and PDFs using high-precision dual-validation.
Calculates Japanese consumption tax (Shohizei) and determines the optimal filing method based on ledger data and invoice system rules.
Guides the transition from sole proprietorship to a corporate entity with automated tax simulations and legal structure comparisons.
Lists supported Japanese tax return scenarios and persona compatibility for the Shinkoku AI agent.
Navigates and automates compliance for the Japanese Invoice System (インボイス制度), including tax credits, registration verification, and transitional measures.
Extracts and structures data from Japanese tax withholding slip images and PDFs for automated tax filing workflows.
Automates Japanese hometown tax donation tracking by processing receipts and calculating deduction limits.
Extracts structured financial data from invoice images and PDFs using advanced dual-verification OCR processing.
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