
from asb-skill-collections15
Verify and locally reproduce GitHub Actions CI workflows to validate badge status and build integrity.
This skill allows an agent to inspect a GitHub repository's CI/CD pipeline and attempt to reproduce the workflow locally. It is particularly useful for verifying that a 'Passing' or 'Failing' badge in a README is accurate and that the software is reproducible outside the GitHub Actions environment.
.github/workflows/main.yml (or equivalent) to identify environment setup, dependency versions, and test commands.This skill has not been reviewed by our automated audit pipeline yet.
Injection Sequence Annotation
Identifies and validates QCpool sample spacing in Sciex Multiquant metabolomics/lipidomics exports.
PyTorch Pretrained Weight Loader
Load pretrained PyTorch model checkpoints to rank candidate molecules or score spectra in metabolomics without retraining.
Positional Encoding for Spectral Sequences
Embeds sequential information into mass spectrum m/z-intensity pairs for transformer-based MS/MS interpretation in IDSL_MINT.
Record Field Transformation & Collation
Transform and collate tabular records into structured JSON dictionaries using field mapping, filtering, and grouping for scientific metadata.
Fragmentation Spectrum Extraction
Extract and deconvolve individual fragmentation spectra from composite mass spectrometry data for metabolomics and exposomics annotation.
Metabolomics QC Report Generation
Automates the export of LC-MS metabolomics quality control results into publication-ready plots, HTML reports, and data tables.
Proteomics Spectral Quality Assurance
Validate Orbitrap mass spectrometry data by verifying instrument metadata and quantifying fragment ion signal-to-noise ratios.
GNPS Molecular Network Metadata Organization
Fetch, extract, and standardize GNPS molecular networking job archives for NPLinker integration.
Metabolomic Feature Table Imputation
Replace zero and missing values in LC-MS metabolomics feature tables using minimum-value-based interpolation.
LC Gradient Vector Encoding & Decoding
Convert LC gradient parameters into normalized numerical vectors for Bayesian optimization and GP regression.