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Claude Skills by HolobiomicsLab

github.com/HolobiomicsLab
12,704 skillsA× 12,683B× 13C× 2D× 60 installs6,238 views
Metadata Extraction And PopulationA

Use when when importing raw mass spectrometry data from files in supported

ai-agentspythontesting
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Metadata Extraction From Fixed Offset RecordsA

Use when you have a binary file (e.g., NV format) with a known fixed-size

ai-agentsgit
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15
Metadata Extraction From Source CodeA

Use when you need to reverse-engineer or document the architecture of

ai-agentsgobash
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15
Metadata Extraction From Spectral DataA

Use when you have raw mass spectrometry files in one of the supported

ai-agentspythontesting
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15
Metadata Field Based Sample StratificationA

Use when you have a feature table and accompanying CSV metadata that

ai-agentspythongo
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15
Metadata Field Extraction And RestructuringA

Use when reading mass spectral library files (particularly MoNA EI or

ai-agentsgit
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15
Metadata Field Extraction From HeadersA

'Use when you have tabular data (CSV or Excel) with column headers annotated

ai-agentspythongit
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15
Metadata Field ExtractionA

Use when you have a directory of JSON-formatted annotation files and

ai-agentspythongo
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15
Metadata Field NormalizationA

Use when immediately after importing raw mass spectrometry data from

ai-agentspythongo
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15
Metadata Field ValidationA

Use when you have received new or updated MassBank records (in plain-text

ai-agentsjavagit
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15
Metadata Field VerificationA

Use when you have located a workflow definition file (YAML or JSON) from

ai-agentsgotesting
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15
Metadata Harmonization Across SourcesA

Use when you have completed independent batch searches across one or

ai-agentsgogit
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15
Metadata Harmonization StandardizationA

Use when when you have preprocessed MS/MS spectra from multiple source

ai-agentspythongo
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15
Metadata Integrity CheckingA

Use when after processing LCMS feature data through Blueshift or Gravity

ai-agentspythongo
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15
Metadata Normalization And ReconciliationA

Use when you have multiple CSV feature lists from different acquisition

ai-agentsgogit
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15
Metadata Structure CheckingA

Use when after loading a metadata file but before merging it with positive

ai-agentsgit
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15
Metadata Structure Field EnrichmentA

Use when a metadata table contains compound names and identifiers but

ai-agentsgogit
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15
Metadata Structure MappingA

Use when you have mzML-format raw data files from mass spectrometry experiments

ai-agentstestingdebugging
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15
Metadata Structure StandardizationA

Use when when you have experimental metadata (e.g., sample annotations,

ai-agentspythongit
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15
Metadata Structure TransformationA

Use when you have raw tabular experimental metadata (mass spectrometry

ai-agentspythongit
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15
Metadata Table Column MappingA

Use when you have a GNPS-format TSV metadata table with mandatory columns

ai-agentsgitapi
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15
Metadata Transformation VerificationA

Use when you have extracted raw tabular metadata into JSON form using

ai-agentspythongo
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15
Metadata Validation Rule SpecificationA

Use when mSMetaEnhancer retrieves metadata attributes (SMILES, InChI,

ai-agentspythonrust
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15
Metfrag Settings InjectionA

Use when when deploying the ipbhalle/metfragweb container and you need

ai-agentsjavasql
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15
Method Equivalence Verification Across Api InvocationsA

Use when when a tool like TARDIS extends its API to accept multiple input

ai-agentsgotesting
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15
Mgf File ParsingA

Use when you have raw or MZmine-processed MGF files (containing MS/MS

ai-agentspythongit
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15
Mgf Metadata Completion From SmilesA

Use when when processing MGF-format MS2 spectral libraries (e.g., GNPS)

ai-agentsgit
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15
Mibig Metadata ExtractionA

Use when when you need to audit, inventory, or report on the curation

ai-agentsgogit
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15
Microbe Compound IdentificationA

Use when you have collected MS/MS spectra from a microbial sample (pure

ai-agentspythongit
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15
Microbe Metabolite Attribution ScoringA

Use when after training multi-layer perceptron neural networks via cross-validation

ai-agentspythongit
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15
Microbe Metabolite Feature Selection By Annotation StatusA

Use when when you have paired microbiome-metabolome datasets where only

ai-agentspythonnode
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Microbe Metabolite Module ConstructionA

Use when when you have trained multi-layer perceptron neural network

ai-agentspythonperformance
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Microbe Metabolite Prediction Neural NetworkA

'Use when you have paired microbiome (16S or metagenomic taxonomy/functions

ai-agentspythongo
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15
Microbial Biotransformation PredictionA

Use when when you have chemical structures (SMILES or molecular structure

ai-agentsgoreact
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15
Microbial Genome Annotation HarmonizationA

Use when you have draft metabolic reconstructions (in SBML or standard

ai-agentsgoreact
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15
Microbial Metabolomics Phage Impact AssessmentA

'Use when you have normalized peak intensities (with assigned molecular

ai-agentspythongo
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15
Microbial Phage Infection Experimental Design InterpretationA

Use when you have a bacterium-phage infection study with normalized peak

ai-agentspythontesting
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15
Microbiome Metabolome Abundance NormalizationA

Use when when you have raw count matrices from paired microbiome (16S

ai-agentspythongit
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Microbiome Metabolome Data Preprocessing Clr TransformationA

Use when you have paired microbiome and metabolomic abundance tables

ai-agentspythongo
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15
Microbiome Metabolome Data PreprocessingA

Use when when starting with raw paired microbiome (16S rRNA, metagenomic

ai-agentspythonrust
0
15
Microbiome Metabolome Prediction ModelingA

Use when you have paired microbiome (16S rRNA, metagenomic) and metabolomic

ai-agentspythongit
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15
Migration Time ExtractionA

Use when you have OnDiskMSnExp CE-MS objects with known marker compounds

ai-agentsgogit
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15
Minimum Cost Flow FormulationA

Use when you have an NMR mixture spectrum and a library of single-compound

ai-agentspythongo
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15
Mirror Plot Visualization For Spectrum ComparisonA

Use when after computing compareSpectra similarity scores between an

ai-agentsgogit
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15
Mispicked Ion Detection And MergingA

Use when immediately after importing raw LC-MS peak tables (e.g., Progenesis

ai-agentsgogit
0
15
Missing Data Handling In Metabolite DatasetsA

Use when when importing metabolomics datasets with multiple studies into

ai-agentsgit
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15
Missing Data Mechanism AssessmentA

Use when when you have a filtered metabolite abundance matrix with remaining

ai-agentsgit
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15
Missing Data Mechanism SpecificationA

Use when when you have a metabolomics abundance table with missing values

ai-agentsgogit
0
15
Missing Data Simulation And RecoveryA

Use when you have metabolomics peak intensity data with pathway annotations

ai-agentspythongo
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15
Missing Data Simulation In OmicsA

Use when when comparing the robustness of multiple pathway ranking methods

ai-agentspythongo
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15