Skills

Enables high-performance genomic interval analysis and processing with Rust-powered tools for overlap detection, coverage tracking, and ML preprocessing.

security-patterns skill from anton-abyzov/specweave

Queries KEGG databases via REST API to retrieve comprehensive biological pathway, gene, compound, and molecular interaction information for academic research.

Enables efficient LLM inference on CPUs, Apple Silicon, and non-NVIDIA GPUs using lightweight, quantized models with minimal dependencies.

Filters and prioritizes compound libraries by applying drug-likeness rules, structural alerts, and medicinal chemistry metrics for efficient molecular triage.

Analyzes and manipulates materials science data using the Python Materials Genomics (pymatgen) library for computational chemistry and crystallography.

Enables comprehensive mass spectrometry data analysis by providing Python bindings for processing, identifying, and quantifying proteomics and metabolomics experiments.

Generates innovative research hypotheses by exploring interdisciplinary connections, challenging assumptions, and developing creative methodological approaches.

Searches and retrieves comprehensive metabolite data from the Human Metabolome Database, enabling detailed chemical, clinical, and spectroscopic metabolomics research.

Retrieves protein data from UniProt via REST API, enabling searches, FASTA sequence retrieval, ID mapping, and detailed protein information access.

discover-workflow skill from rand/cc-polymath

Generates best practices and configuration recommendations for React projects deployed on Vercel, focusing on optimizing performance, structure, and deployment workflows.