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Claude Skills by HolobiomicsLab

github.com/HolobiomicsLab
12,704 skillsA× 12,683B× 13C× 2D× 60 installs6,239 views
Model Validation On Chromatographic StandardsA

Use when after training a CNN model on labeled rt×mz two-dimensional

ai-agentspythongit
0
15
Model Validation Regression MetricsA

Use when after training a deep-learning model on paired MS/MS spectra

ai-agentsgogit
0
15
Model Weight Loading And DeploymentA

Use when you have a pre-trained MSGO model checkpoint (PFAS or lipid

ai-agentspythongo
0
15
Modification Label NormalizationA

Use when when PSM files from heterogeneous proteomics search engines

ai-agentsgogit
0
15
Modification Notation InterpretationA

Use when you have a ProForma 2.0 peptidoform string (e.g., DLTDYLM[Oxidation]K)

ai-agentspythongit
0
15
Modification Site LocalizationA

Use when you have a pair of MS/MS spectra—one from a known compound and

ai-agentspythongo
0
15
Modular Fragmentor Interface ConfigurationA

Use when you need to simulate LC-MS/MS spectra for a specific biomolecule

ai-agentspythongo
0
15
Modularity Optimization ClusteringA

Use when after MS-DIAL peak character estimation has grouped LC-MS features

ai-agentsgogit
0
15
Modulation Parameter ConfigurationA

Use when you have a raw GCxGC-MS chromatogram in NetCDF format (.cdf

ai-agentsgogit
0
15
Module Assignment BiclusteringA

Use when you have a trained neural network model of microbiome-metabolome

ai-agentspythonrust
0
15
Module Coverage MappingA

Use when evaluating whether a mass spectrometry data analysis platform

ai-agentsgojava
0
15
Module Dependency MappingA

Use when you need to understand or document the structural organization

ai-agentspythongo
0
15
Module Dispatch Architecture AnalysisA

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

ai-agentsgojava
0
15
Module Eigenmetabolite CalculationA

Use when after metabolic correlation modules have been identified via

ai-agentsexpressgit
0
15
Module Import TestingA

Use when releasing a new version of a Python package, validating packaging

ai-agentspythontesting
0
15
Module Import VerificationA

'Use when after installing a Python package (especially one with optional

ai-agentspythongo
0
15
Module Integration VerificationA

Use when after rewriting or refactoring a Python module (such as calculate_feature_overlap.py

ai-agentspythontesting
0
15
Module Loader ImplementationA

Use when you have mass spectrometry imaging data in multiple vendor or

ai-agentspythonsql
0
15
Module Refactoring And Legacy Code RemovalA

Use when when a major version release (e.g., v1.x → v2.0.0) deprecates

ai-agentspythongo
0
15
Module Trait Association VisualizationA

Use when after identifying and naming metabolic correlation modules from

ai-agentsgotesting
0
15
Molecular Candidate RankingA

Use when after a trained CNN model has generated molecular embeddings

ai-agentspythongit
0
15
Molecular Ccs Prediction Model TrainingA

Use when you have a curated dataset of small molecules with SMILES, optional

ai-agentspythongit
0
15
Molecular Cheminformatics PipelineA

Use when you have raw molecular structures in SMILES or SDF format and

ai-agentsgitdocumentation
0
15
Molecular Class Annotation For NetworksA

Use when after molecular formulas have been assigned to detected peaks

ai-agentspythongo
0
15
Molecular Complexity Metric ComputationA

Use when you have a formula-assigned FT-ICR MS dataset (CSV or tab-delimited

ai-agentsreacttesting
0
15
Molecular Conformer Generation And OptimizationA

Use when you have SMILES strings or 2D molecular structures of N-Me derived

ai-agentspythongit
0
15
Molecular Conformer PreprocessingA

Use when you have a set of molecular SMILES strings and need to prepare

ai-agentspythongo
0
15
Molecular Connectivity InferenceA

Use when you have 1D ¹H and/or ¹³C NMR spectra (as preprocessed numerical

ai-agentsperformance
0
15
Molecular Coordinate Generation 2d3dA

Use when you have canonicalized SMILES strings from a chemical structure

ai-agentspythongo
0
15
Molecular Database Loading And ParsingA

Use when when setting up a ViMMS chemical sampling environment and you

ai-agentspythongo
0
15
Molecular Dataset Partitioning And PreprocessingA

Use when you have raw molecular datasets (e.g., METLIN-CCS, CCSBase)

ai-agentspythonshell
0
15
Molecular Descriptor Calculation Via RdkitA

Use when when you have a set of SMILES strings representing small molecules

ai-agentsapi
0
15
Molecular Descriptor CalculationA

Use when you have raw molecular structures in SMILES or SDF format and

ai-agentsgit
0
15
Molecular Descriptor ComputationA

Use when when you have a query mass spectrum and a set of candidate molecular

ai-agentspythongit
0
15
Molecular Descriptor ExtractionA

Use when you have a collection of chemical structures in SMILES format

ai-agentspythongo
0
15
Molecular Descriptor Fingerprint GenerationA

Use when you have a collection of chemical structures (SMILES, InChI,

ai-agentsgitperformance
0
15
Molecular Descriptor GenerationA

Use when you have a collection of chemical structures (80,000+ molecules

ai-agentspythongo
0
15
Molecular Descriptor Graph RepresentationA

Use when when you need to train or evaluate a graph neural network for

ai-agentspythonnode
0
15
Molecular Descriptor IndexingA

Use when when you have a collection of molecular structures (SMILES or

ai-agentspythongit
0
15
Molecular Descriptor InterpretationA

Use when you have a collection of molecules represented as CSV or EXCEL

ai-agentsgogit
0
15
Molecular Duplicate Detection And DeduplicationA

Use when after SMILES standardization when you have a table of translated

ai-agentspythongo
0
15
Molecular Embedding GenerationA

Use when when you have molecular structures (SMILES or explicit graph

ai-agentspythongo
0
15
Molecular Embedding InferenceA

Use when you have a set of molecules (as SMILES strings in CSV format)

ai-agentspythongit
0
15
Molecular Family Graph ConstructionA

Use when you have downloaded and extracted a GNPS archive (from METABOLOMICS-SNETS,

ai-agentspythonnode
0
15
Molecular Family Grouping AnalysisA

Use when you have untargeted metabolomics peak intensity data and spectral

ai-agentspythongo
0
15
Molecular Feature EngineeringA

Use when you have a set of chemical structures (small molecules, metabolites,

ai-agentspythongo
0
15
Molecular Fingerprint Bit Frequency AnalysisA

Use when you have loaded a collection of molecular fingerprint vectors

ai-agentsgotesting
0
15
Molecular Fingerprint CalculationA

Use when you have a collection of small molecules in standardized format

ai-agents
0
15
Molecular Fingerprint ComputationA

Use when you have natural product molecules (or compounds from natural

ai-agentspythonbash
0
15
Molecular Fingerprint Extraction And VectorizationA

Use when you have annotated metabolite structures (with SMILES strings)

ai-agentsgitperformance
0
15