Claude Skills by HolobiomicsLab

Use when after applying biomolecule filtering criteria (minimum non-missing

Use when after peak integration and feature alignment in metabolomic

Use when after curating and integrating structure-organism pairs from

Use when after loading and parsing raw MRM export files (TSV, CSV, or

Use when you have a new or draft file format specification (e.g., mzPeak)

Use when you have raw GC-MS output in CSV format with columns Component.RT,

Use when after converting or filtering objects (e.g., transformation

Use when after obtaining structural clusters from the MAMSI framework

Use when you have a curated relational dataset (structure-organism pairs)

Use when you have raw microbiome (e.g., 16S rRNA or metagenomic) or metabolomic

Use when building or auditing a multi-instrument MS data processing system

Use when when ingesting or updating MassBank records in plain-text or

Use when after executing a MassQL query that returns a tabulated results

Use when a Python module declares optional/conditional dependencies (e.g.,

Use when you have a list of metabolite identifiers sourced from one metabolome

Use when when you have downloaded a curated structure-organism dataset

'Use when when processing mass spectrometry spectral records from a database

Use when you need to access a stored chemical structure, NRP sequence,

Use when when you need to obtain a specific curated database (e.g., DNA

Use when when you have an mzML file that you want to store persistently

Use when when you have large sequential media files (mzML spectra, text

Use when you have MS/MS spectral library data currently stored in file-based

Use when you have one or more MS/MS spectra (query spectra in mzML, mzXML,

Use when you are implementing a new MsBackend subclass and need to store

Use when when implementing a new MsBackend subclass and need to return

Use when when implementing a new MsBackend subclass that stores only

Use when when designing or optimizing an MsBackend implementation (or

'Use when when building a scientific visualization library that must

Use when when you have downloaded a released version of a structured

Use when you have mass spectrometry data arriving through heterogeneous

Use when when you have a raw GNPS or other spectral library dataset with

Use when after generating aligned multimodal feature tensors from molecular

Use when when you have partitioned public MS/MS files from MassIVE using

Use when you have NMR dataset metadata (cache-file flag, total point

Use when when preparing MS/MS spectra for deep learning model training

Use when when implementing a custom MsBackend subclass and need to verify

Use when you have raw or processed LC-MS/MS data from DDA mode acquisitions

Use when you have a virtual chemical mixture (MS1 peaks) and need to

Use when you have real mzML LC-MS/MS data (e.g., from a Beer sample or

Use when when you have LC-MS/MS data collected in DDA mode and suspect

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

Use when you have centroided DDA mzML data and have already detected

Use when you have MS/MS spectra (centroided m/z and intensity pairs)

Use when you have annotated MS/MS spectra in MGF format and need to identify

Use when when you have unknown MS/MS spectra with observed precursor

Use when when you have high-resolution LC-MS/MS data for an unknown metabolite

Use when you have a trained shallow decision tree on ChemEcho feature

Use when you have tandem mass spectra data and need to predict a discrete

Use when after auto-deconvolution of GC-MS data has produced a table

Use when performing large-scale untargeted metabolomics annotation where