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This tool performs spectral similarity analysis and compound identification for metabolomics, comparing mass spectra, computing similarity scores, and identifying unknown compounds from spectral libraries. It is ideal for metabolite identification, spectral matching, and library searching.

MATLAB and GNU Octave for numerical computing, including matrix operations, data analysis, visualization, and scientific computing. Use for scripts involving linear algebra, signal/image processing, differential equations, optimization, statistics, or scientific visualizations, as well as for syntax help, functions, or conversions in MATLAB.

A low-level plotting library for full customization, providing fine-grained control over every plot element. It's ideal for creating novel plot types or integrating with specific scientific workflows, with export options to PNG/PDF/SVG for publication.

Medicinal chemistry filters for compound triage. Apply drug-likeness rules (Lipinski, Veber, CNS), structural alert catalogs (PAINS, NIBR, ChEMBL), complexity metrics, and the medchem query language for library filtering.

Perform and analyze molecular dynamics simulations using OpenMM and MDAnalysis, covering system setup, force field definition, energy minimization, production MD, and trajectory analysis (RMSD, RMSF, contact maps, free energy surfaces). Applicable to structural biology, drug binding, and biophysics.

A comprehensive biosignal processing toolkit for analyzing physiological data such as ECG, EEG, EDA, RSP, PPG, EMG, and EOG signals. Use this skill for processing cardiovascular signals, brain activity, electrodermal responses, respiratory patterns, muscle activity, or eye movements.

This skill analyzes Neuropixels neural recordings, covering SpikeGLX/OpenEphys data loading, preprocessing, motion correction, Kilosort4 spike sorting, quality metrics, and AI-assisted visual analysis for Neuropixels 1.0/2.0 extracellular electrophysiology.

GPU-accelerate Python code using CuPy, Numba CUDA, Warp, cuDF, cuML, cuGraph, KvikIO, cuCIM, cuxfilter, cuVS, cuSpatial, and RAFT. This skill is ideal for accelerating NumPy, pandas, scikit-learn, scikit-image, NetworkX, GeoPandas, or Faiss workloads, covering physics simulation, differentiable rendering, and particle systems.

This operator toolkit supports nf-core/pacsomatic matched tumor-normal workflows from BAM inputs, enabling validation, samplesheet generation, Nextflow launch artifact preparation, local or scheduler-based execution, and failure triage. It triggers on requests to run pacsomatic or prepare launch commands.

Chat with your agent about projects, recommendations, and canonical papers in Paperzilla. Use when users ask for recent project recommendations, canonical paper details, markdown-based summaries, recommendation feedback, feed export, or Atom feed URLs.

Runs pathway and gene-set enrichment analysis on gene lists or ranked gene data, then interprets the results. Use whenever the user has a set of genes and wants to know which biological pathways, GO terms, or gene sets are over-represented or enriched, covering over-representation analysis.

This skill provides structured manuscript and grant review using checklist-based evaluation, ideal for formal peer reviews assessing methodology, statistical validity, and reporting standards compliance with constructive feedback.