AIエージェントの能力を拡張するClaudeスキルの完全なコレクションをご覧ください。
Provides a standardized boilerplate and structural foundation for creating custom Claude Code skills.
Facilitates a mental model approach to problem-solving by systematically flipping core assumptions to uncover hidden constraints and innovative solutions.
Applies medicinal chemistry rules and structural alerts to triage and prioritize compound libraries for drug discovery workflows.
Applies professional color palettes and typography to artifacts like slides, documents, and HTML landing pages.
Implements robust, PCI-compliant Stripe payment flows including checkout, subscriptions, and webhooks.
Generates professional, publication-quality Python visualizations including line plots, heatmaps, and 3D charts using the Matplotlib library.
Transforms academic research papers into interactive websites, professional presentation videos, and print-ready conference posters.
Enables advanced molecular modeling, chemical property calculation, and structural analysis within Python workflows.
Processes whole slide images (WSI) for digital pathology by automating tissue detection, tile extraction, and preprocessing for computational pipelines.
Accelerates high-quality content creation by combining AI-powered research, collaborative outlining, and real-time section-by-section feedback.
Optimizes data processing workflows using the high-performance Polars DataFrame library and expression API.
Accesses the world's largest somatic mutation database for cancer research and precision oncology data retrieval.
Accesses and analyzes comprehensive FDA regulatory data for drugs, medical devices, and food safety through the openFDA API.
Queries and retrieves genomic data from NCBI Gene databases using E-utilities and the modern Datasets API.
Performs rigorous statistical modeling, econometric analysis, and hypothesis testing using Python's statsmodels library.
Facilitates the retrieval and analysis of over 200 million AI-predicted protein structures from the AlphaFold DB for biological research and drug discovery.
Integrates state-of-the-art machine learning models for NLP, computer vision, and audio tasks using the Hugging Face ecosystem.
Facilitates direct access to PubMed literature and the NCBI E-utilities API for advanced biomedical research and data extraction.
Randomly selects fair and unbiased winners from spreadsheets, lists, and Google Sheets for giveaways and contests.
Accesses global statistical data from the Data Commons knowledge graph to analyze demographics, economics, health, and environmental trends.
Integrates Reactome's curated pathway database into Claude for advanced systems biology research and gene enrichment analysis.
Manipulates, analyzes, and visualizes phylogenetic and hierarchical trees for biological research and genomic data.
Configures workspace environments to automatically prioritize established scientific research patterns, database access protocols, and package usage guidelines.
Generates publication-quality scientific figures and multi-panel layouts compliant with major journal standards.
Implements multi-layered data validation across system boundaries to make software bugs structurally impossible.
Reads, writes, and manipulates DICOM medical imaging data, including pixel arrays, metadata extraction, and file anonymization.
Generates testable, evidence-based scientific hypotheses and experimental designs from observations or literature.
Controls laboratory automation equipment through a unified Python interface for liquid handling, plate reading, and protocol simulation.
Performs advanced biological data analysis including sequence manipulation, phylogenetic tree construction, and microbial diversity metrics.
Accesses and queries the ClinicalTrials.gov API v2 to retrieve detailed medical study data, recruitment status, and eligibility criteria for clinical research.
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