Explore our collection of Agent Skills to enhance your AI workflow.
Creates publication-quality statistical graphics and complex multi-panel data visualizations with minimal Python code.
Explains machine learning model predictions and calculates feature importance using unified Shapley Additive exPlanations.
Create publication-quality static, animated, and interactive visualizations using Python's foundational plotting library.
Processes and manipulates DICOM medical imaging files for healthcare data analysis and clinical workflow integration.
Provides a unified interface for rapid bioinformatics queries, genomic sequence analysis, and protein structure prediction across 20+ scientific databases.
Accesses USPTO APIs for comprehensive patent and trademark searches, examination history, and intellectual property analysis.
Accesses and queries the Human Metabolome Database (HMDB) for detailed metabolite information, chemical properties, and clinical biomarkers.
Streamlines deep learning development by organizing PyTorch code into scalable, production-ready modules for efficient neural network training.
Performs comprehensive survival analysis and time-to-event modeling using the scikit-survival library in Python.
Searches and retrieves life sciences preprints from the bioRxiv database with support for metadata extraction and PDF downloads.
Develops reactive web components and interactive UIs for Laravel applications using Livewire 3, Volt, and Folio.
Architects and implements high-performance web applications using Next.js 16 features like Turbopack, Cache Components, and React 19.2.
Queries the openFDA API to retrieve comprehensive data on drugs, medical devices, food safety, and regulatory submissions.
Accesses and analyzes comprehensive pharmaceutical data from DrugBank for drug discovery, pharmacology, and interaction research.
Builds and deploys machine learning models for genomic interval data and single-cell chromatin accessibility analysis.
Parses, processes, and generates Flow Cytometry Standard (FCS) files for biological data analysis and bioinformatics pipelines.
Accesses comprehensive clinical pharmacogenomics data to guide precision medicine and genotype-based dosing decisions.
Streamlines database schema design and migration management for Laravel applications using industry-standard patterns.
Enforces a rigorous quality framework by mandating structured planning, validation phases, and best-practice adherence before any code is modified.
Queries the Ensembl REST API for genomic data, sequence retrieval, variant analysis, and comparative genomics across 250+ species.
Queries the NCBI ClinVar database to retrieve, interpret, and process human genetic variant classifications and clinical significance.
Evaluates scholarly research and academic papers using the structured ScholarEval methodology for rigor and quality.
Implements advanced time series machine learning tasks including forecasting, classification, and anomaly detection using a scikit-learn compatible framework.
Builds process-based discrete-event simulations in Python to model complex systems like manufacturing, logistics, and network traffic.
Simplifies molecular cheminformatics workflows with a Pythonic wrapper for RDKit, featuring structure standardization, descriptor calculation, and 3D conformer generation.
Performs constraint-based reconstruction and analysis of metabolic models for systems biology and metabolic engineering.
Streamlines genomic data management and bioinformatics app development on the DNAnexus cloud platform using the dxpy Python SDK.
Simplifies high-performance genomic interval analysis and machine learning preprocessing using Rust-powered toolsets.
Deploy and scale Python applications in the cloud using serverless containers, specialized GPUs, and automated infrastructure management.
Performs fast non-linear dimensionality reduction and manifold learning for high-dimensional data visualization and clustering.
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