Claude Skills by HolobiomicsLab

Use when when testing associations between metabolic features (from NMR

Use when after training or evaluating a classification model (e.g., MS2DeepScore

Use when after identifying pairwise feature connections via correlation

Use when you have a feature list from LC-MS preprocessing (e.g., asari

Use when you have spectral features annotated by both in silico structural

Use when when you have computed hierarchical clustering dendrograms on

Use when after training a neural network model on paired microbiome-metabolome

Use when when you have a feature attribution matrix (e.g., microbe-metabolite

Use when after constructing individual mass tracks from mzTree data bins

Use when when you have harmonized metabolite data from multiple studies

Use when you have detected a single chromatographic peak in DDA LC-MS/MS

Use when when you have structural annotations from multiple sources (in

Use when you have a generic genome-scale metabolic model (SBML format)

Use when when you have constraint-based metabolic models for multiple

Use when when you have (1) transcriptomics data and a metabolic network

Use when you have constraint-based metabolic models with integrated multi-omics

Use when after gap-filling metabolic models in a community context when

Use when you have a Dockerfile and source repository for a bioinformatics

Use when your Nextflow metabolomics workflow has been validated with

Use when your LC-HRMS metabolomics data (.mzML or .abf files) must be

Use when when deploying a Nextflow workflow across multiple execution

Use when after completing a multi-stage Docker build targeting a compiled

Use when when configuring a multi-worker online deployment of a containerized

Use when when deploying a multi-component research application (e.g.,

Use when when a software tool is distributed as a Docker image and you

Use when you need to deploy a containerized web application (such as

Use when deploying a containerized .NET Framework application (e.g.,

Use when when deploying a containerized application (e.g., ipbhalle/metfragweb)

Use when executing containerized conversion tools (e.g., AirdPro CLI)

Use when after building and starting a Dockerized server via docker-compose

Use when when deploying containerized versions of a multi-variant application

Use when you have mass spectrometry imaging (MSI) data with ion images

Use when when you have mass spectrometry ion image data and need to learn

Use when you have paired MS/MS spectra and molecular structures (SMILES

Use when when you have paired augmented ion images processed through

Use when when pre-training a graph neural network on a domain-specific

'Use when training embeddings from MS/MS spectra and you need to simultaneously

Use when you have a transformer encoder producing representations of

Use when you have raw ion images from MSI data and need to train a contrastive

Use when when you need to understand how a multi-instrument mass spectrometry

'Use when after ingesting and parsing multiple external databases with

Use when you have collected or inherited sample-information metadata

Use when you have validated intermediate JSON data (conforming to the

Use when when integrating MSMetaEnhancer into Galaxy or another workflow

Use when when you need to understand which chemical identifier conversions

Use when building a multi-source metadata annotation pipeline where converters

Use when when integrating multiple heterogeneous metadata services (e.g.,

Use when when you have a .msp mass spectra file with incomplete or missing

Use when you need to expose all supported metadata conversion options

Use when after executing asynchronous conversion jobs across multiple