Claude Skills by HolobiomicsLab

Use when after PuInc_seeker has identified putative incorporations in

Use when when constructing a reference mass-matching framework for untargeted

Use when you have a peak-picked feature table (HDF5 format with m/z,

Use when after filtering LC-MS features by statistical significance (e.g.,

Use when after autoQ has extracted and integrated peak areas for all

Use when you have GC-CI-MS or LC-MS data in mzML format targeting a defined

Use when evaluating the reliability of non-targeted data pre-processing

Use when when extracting isotopologue patterns from centroided mzML files

Use when you have preprocessed, statistically significant LC-MS features

Use when you have 1D mass spectrometry signal data (e.

Use when you have latent low-dimension peak features extracted by a Graph-attention

Use when you have parsed metabolite identities with known spin-system

Use when after computing a Jacobian matrix from covariance data in MInfer,

Use when after generating a covariance matrix from normalized metabolite

Use when when you need to confirm that a Java project's GitHub Actions

Use when when you need to verify that a Java project's automated build

Use when when you have deployed a JVM application in a Docker container

Use when deploying a Java-based scientific application (such as CEU Mass

Use when when you have access to a Java project with a Maven pom.xml

Use when when you need to understand how a Java application routes input

Use when you have a Java application or standalone tool that needs to

Use when you receive uploaded spectral data in JCAMP format (jcamp) as

Use when you have grouped LC-MS features into empirical compounds with

Use when deploying a Java web application (such as CEU Mass Mediator)

Use when when deploying OpenMS workflows in online mode via RQ (Redis

Use when when initializing MSMetaEnhancer or extending it with new converters,

Use when you have a mass spectrum from an untargeted metabolomics experiment

Use when when you have raw LC-MS data in mzXML format (or vendor formats

Use when you need to implement a converter or standardization system

Use when you have validated intermediate JSON data conforming to the

Use when you have discovered Mass2Motifs via LDA and need to (1) load

Use when when you have intermediate JSON data in the Experiment Description

Use when when you have extracted intermediate JSON conforming to the

Use when when your project JSON document contains public identifiers

Use when after generating a structured JSON result file from a prior

Use when when you have JSON-formatted curation data organized in a directory

Use when when you have extracted file metadata or scan summaries as R

Use when you have a repository of JSON-formatted scientific annotations

Use when you have completed the MS2LDA LDA modeling phase and possess

Use when when you have NMR peak assignments (1H and 13C chemical shift

Use when when a project JSON record contains a resolvable public identifier

Use when when querying a TensorFlow Serving metadata endpoint or similar

Use when when a backend service receives structured prediction results

Use when after sending HTTP requests to API endpoints (such as /classify

Use when after extracting tabular data into intermediate JSON form or

Use when after running the msfeast_pipeline notebook to generate dashboard_data.json

Use when you have loaded an mwTab file into a structured MWTabFile object

Use when you have inferred or discovered structured results (e.g., LDA-derived

Use when after extracting header metadata from a Thermo Fisher Scientific

Use when when you have completed a computational step (e.g., corpus feature