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herry423/bionexus-reliability

v1.0.0-rc.2Apache-2.0

Scientific Reliability Layer & Scientific Warrant Engine for AI Agents (Warrant-First Evidence Assessment, Fail-Closed Invariants, Evidence-Capped Claims, Zero Silent Substitution).

instrument-data-to-allotrope

Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV using native allotropy or declarative YAML mapping rules. Use this skill when scientists need to standardize instrument data for LIMS systems, data lakes, or downstream analysis.

nextflow-development

Prepare nf-core samplesheets, cluster nextflow.config, and write launch artifacts. nfcore_launch.py only wraps nf-core/rnaseq and nf-core/scrnaseq with optional nextflow -preview. Other pipelines still use generate_samplesheet.py plus a hand-written nextflow run. Does not reimplement the pipelines.

provenance-and-audit

SHA-256 hashes, environment snapshot, and activity-aware Methods text. Use to attach a reproducibility sidecar to an analysis. Do not use for 21 CFR Part 11, GxP, ALCOA+, or CLIA audit claims.

scientific-problem-selection

This skill should be used when scientists need help with research problem selection, project ideation, troubleshooting stuck projects, or strategic scientific decisions. Use this skill when users ask to pitch a new research idea, work through a project problem, evaluate project risks, plan research strategy, navigate decision trees, or get help choosing what scientific problem to work on. Typical requests include "I have an idea for a project", "I'm stuck on my research", "help me evaluate this project", "what should I work on", or "I need strategic advice about my research".

scvi-tools

Train official scvi-tools models (scVI/scANVI/totalVI/PeakVI/MultiVI/veloVI) on raw counts after the scRNA gold chain. Use for probabilistic batch integration or those named models. Does not run DestVI/Cell2location. Do not log-normalize before setup_anndata.

single-cell-rna-qc

scverse scRNA gold chain on .h5ad/.h5 — inspect, convert, MAD QC, optional scanpy.pp.scrublet, preprocess, Harmony/ComBat, PCA-UMAP-Leiden, Wilcoxon markers, subset, pseudobulk, pydeseq2, stable plots. Use when the user has scRNA-seq counts. Does not assign cell-type labels. rank_genes_groups is not condition DE. Do not call local doublet/ambient helpers SoupX, CellBender, or scDblFinder.

spatial-transcriptomics

squidpy spatial gold chain on SpatialData .zarr or AnnData .h5ad with obsm['spatial']. Use when the user has Visium/Slide-seq/generic spots or cells with coordinates. Builds a knn spatial graph, Moran SVGs, and spatial_scatter plots. Multi-table SpatialData requires --table. Does not run Cell2location, BayesSpace, SpaGCN, or vendor HD/Xenium pipelines. Numeric clusters only.

start

Orient a session on this plugin. Use first. Run scripts/doctor.py, then route only to core gold-chain skills unless the user names a heuristic job. Do not assign cell-type labels. Do not use this skill to run analyses.