
Claude Skills by HolobiomicsLab
github.com/HolobiomicsLabUse when when you have cleaned, normalized organism, structure, and reference
Use when you have a feature quantification table output from MZmine3
Use when you have a table with multiple records (e.g., a protocol table
Use when you have a CSV or table-format spectral peak list (with chemical
Use when you have extracted MS1 or MS2 peak lists and scan headers from
Use when you have multiple independent implementations of the same data
Use when after generating a preliminary feature table from LC-MS data
Use when you have a txt or tabular export file from a liquid chromatography–mass
Use when when you have received raw MRM lipidomics export files in vendor-specific
'Use when you have raw tabular experimental data (CSV or Excel) with
Use when when converting mwTab-formatted metabolomics files (containing
Use when after curating and integrating structure-organism pairs from
Use when you have extracted tabular data (e.g., protocol descriptions,
Use when when you have chemical annotations (GNPS matches) distributed
Use when you have raw HPLC column metadata arrays containing Tanaka parameter
Use when you have tandem mass spectra (in .msp or compatible format)
Use when when you have raw tandem mass spectra in mz/intensity format
Use when you have an unknown MS/MS spectrum (tandem mass spectrum) with
Use when you have centroided LC-MS/MS spectra (in MGF, mzXML, mzML, or
Use when you have acquired raw tandem MS data from ProteomeXchange or
Use when you have pairs of cleaned tandem mass spectra with known chemical
Use when you have high-resolution MS2 data (.ms2 format) from tandem
Use when you have a new fragmentation acquisition strategy (e.g., a weighted
Use when after MS1 feature extraction and prescreening quality control
Use when you have raw MS/MS spectra from public repositories (e.
Use when when you have raw LC-MS or LC-IMS-MS data in instrument format
Use when you have a large collection of tandem mass spectra (mzML, mzXML,
Use when when you have raw predictions from a trained fragment generation
'Use when you have aligned features characterized across multiple dimensions
Use when preparing tandem MS/MS datasets for cross-dataset similarity
Use when when you have raw or instrument-native tandem mass spectrometry
Use when you have a molecular structure (SMILES, InChI, or chemical formula)
Use when you have acquired raw MS/MS spectra (in MGF or mzML format)
Use when you have an unknown tandem MS/MS spectrum (precursor m/z and
Use when importing MS/MS spectral libraries (particularly from MoNA or
Use when after importing raw peak tables from tandem MS/MS preprocessing
Use when when you have raw feature tables exported from a tandem LC-MS/MS
Use when you have received spectrum predictions (fragment masses and
Use when when you have experimental tandem MS spectra (with peak m/z
Use when you have untargeted MS2 spectral data in MS2MP-compatible format
Use when when preparing paired MS/MS spectra for training or validation
Use when when you have a set of MS/MS spectra with ground-truth structural
Use when you have a trained MS2DeepScore neural network and a set of
Use when you have a collection of molecular fingerprint vectors (such
Use when when you have paired mass spectrometry spectra (e.g., from GNPS,
Use when when running iterative reaction network expansion (Pickaxe)
Use when you have a CSV-formatted target list with m/z, retention time,
Use when you have LC-MS data (mzML or netCDF format) and a predefined
Use when you have a raw list of target compounds (in .xlsx, CSV, or database
Use when when you have raw diaPASEF mzML files, a transition list with