Explore our collection of Agent Skills to enhance your AI workflow.
Organizes files and folders intelligently by understanding context, finding duplicates, and automating digital cleanup tasks.
Performs advanced biological data analysis including sequence manipulation, phylogenetic tree construction, and microbial diversity metrics.
Controls laboratory automation equipment through a unified Python interface for liquid handling, plate reading, and protocol simulation.
Generates testable, evidence-based scientific hypotheses and experimental designs from observations or literature.
Reads, writes, and manipulates DICOM medical imaging data, including pixel arrays, metadata extraction, and file anonymization.
Implements multi-layered data validation across system boundaries to make software bugs structurally impossible.
Generates publication-quality scientific figures and multi-panel layouts compliant with major journal standards.
Configures workspace environments to automatically prioritize established scientific research patterns, database access protocols, and package usage guidelines.
Manipulates, analyzes, and visualizes phylogenetic and hierarchical trees for biological research and genomic data.
Integrates Reactome's curated pathway database into Claude for advanced systems biology research and gene enrichment analysis.
Accesses global statistical data from the Data Commons knowledge graph to analyze demographics, economics, health, and environmental trends.
Randomly selects fair and unbiased winners from spreadsheets, lists, and Google Sheets for giveaways and contests.
Facilitates direct access to PubMed literature and the NCBI E-utilities API for advanced biomedical research and data extraction.
Integrates state-of-the-art machine learning models for NLP, computer vision, and audio tasks using the Hugging Face ecosystem.
Facilitates the retrieval and analysis of over 200 million AI-predicted protein structures from the AlphaFold DB for biological research and drug discovery.
Performs rigorous statistical modeling, econometric analysis, and hypothesis testing using Python's statsmodels library.
Queries and retrieves genomic data from NCBI Gene databases using E-utilities and the modern Datasets API.
Accesses and analyzes comprehensive FDA regulatory data for drugs, medical devices, and food safety through the openFDA API.
Accesses the world's largest somatic mutation database for cancer research and precision oncology data retrieval.
Optimizes data processing workflows using the high-performance Polars DataFrame library and expression API.
Accelerates high-quality content creation by combining AI-powered research, collaborative outlining, and real-time section-by-section feedback.
Processes whole slide images (WSI) for digital pathology by automating tissue detection, tile extraction, and preprocessing for computational pipelines.
Guides developers through building high-quality Model Context Protocol (MCP) servers to connect AI agents with external APIs and services.
Enables advanced molecular modeling, chemical property calculation, and structural analysis within Python workflows.
Transforms academic research papers into interactive websites, professional presentation videos, and print-ready conference posters.
Generates professional, publication-quality Python visualizations including line plots, heatmaps, and 3D charts using the Matplotlib library.
Implements robust, PCI-compliant Stripe payment flows including checkout, subscriptions, and webhooks.
Applies professional color palettes and typography to artifacts like slides, documents, and HTML landing pages.
Guides the creation of high-quality Model Context Protocol (MCP) servers to enable seamless LLM integration with external APIs and services.
Applies medicinal chemistry rules and structural alerts to triage and prioritize compound libraries for drug discovery workflows.
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