Claude Skills by HolobiomicsLab

Use when you have LC-IMS-MS/MS data with drift_time measurements and

Use when you have a set of molecular structures in SMILES format that

Use when when you have LC-IM-MS/MS data with measured collision cross

Use when you have IM-MS lipidomics data from samples spiked with U13C-labeled

Use when after applying deimos.calibration.tunemix() to positive-mode

Use when you have a pre-trained GNN CCS prediction model and need to

Use when you have molecular structures (SMILES or SDF format) and need

Use when when you have N-Me derivatized unsaturated sterol lipid structures

Use when you have two co-registered LA-ICP-MS element channel images

Use when preparing ion image data for representation learning in mass

Use when when rendering a treemap of qc_summary() output showing ion

Use when importing a new delimited data file (CSV, semicolon-separated,

Use when when processing mwTab metabolomics data files with variable

Use when you have two or more independent, standardised scoring functions

Use when after constructing a metabCombiner object by grouping features

Use when you have a batch of raw LC-IMS-MS/MS data in mzML or mzML.

Use when when you have installed a Python package and need to verify

Use when after installing a Python package or before running a computational

Use when after completing a BiG-SLiCE clustering analysis and needing

Use when when you have peak-abundance .csv files and assigned molecular

Use when you need to install a Python package that is distributed via

Use when you have tandem MS/MS spectrum data in standard peak file formats

'Use when before launching any MetaboDirect pipeline run on a new system

Use when you need to bootstrap a tool workflow by generating a version-

Use when after installing a command-line bioinformatics tool (e.g., via

Use when you have a workflow.csv file co-located with sequence.csv in

Use when you have consensus metabolic reconstructions for multiple community

Use when you have consensus metabolic reconstructions for multiple community

Use when you have multiple draft metabolic models (in JSON, XML, or SBML

Use when you have draft metabolic reconstructions (in SBML or equivalent

Use when when you have parsed lipid expression data (quantitative abundance

'Use when you have developed or adapted a peak detection method for chromatography–mass

Use when you have a labeled peak quality dataset (development set with

Use when you are selecting a pathway enrichment method for metabolomics

Use when you have developed a new machine learning model for predicting

Use when when you have feature lists (in CSV format) from two or more

Use when when you need to validate that a boolean control parameter in

'Use when when you have developed a new spectral similarity scoring method

'Use when when you have implemented a new or optimized mass spectrometry

Use when when you have applied multiple pathway analysis methods to the

Use when after compiling nanobind-based C++ bindings into a Python extension

Use when when you have scored a set of potential gene cluster family

Use when after generateComponents has assigned candidate TP features

Use when after mass track extraction and alignment across samples, when

Use when after mass tracks have been aligned across all samples into

Use when when processing a multi-sample LC-MS metabolomics project after

Use when after mass tracks have been aligned across samples into a MassGrid

Use when your untargeted LC/HRMS dataset contains Data-Independent Acquisition

Use when you have DDA raw mass spectrometry data (mzML, mzXML, or netCDF

Use when apply CLR transformation when you have microbiome or metabolomic