Labcoat omics reproducibility
Skill qchiujunhao/labcoat/skills/labcoat-omics-reproducibility
Skills, hooks, and CLI checks for safer biomedical AI coding agents.
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Reproducibility discipline for RNA-seq, scRNA-seq, ATAC-seq, variant, proteomics, imaging, Scanpy, Seurat, clustering, and omics pipeline work. Use when inputs, references, seeds, QC thresholds, layers, versions, or outputs affect scientific correctness.
SKILL.md
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Omics Reproducibility
Make omics code rerunnable and biologically interpretable.
Decision Ladder
- State input files, sample schema, units, organism, and genome/reference where relevant.
- State counts/layer assumptions and normalization.
- Set deterministic seeds for stochastic steps.
- Record QC thresholds and filtering scope.
- Define exact output files, columns, and smoke tests.
Allowed
- Conservative checks that ask for missing build/species/layer/QC context.
- Minimal pipeline smoke tests on synthetic data.
- Version and parameter notes in code or docs.
Disallowed
- Do not assume
adata.Xis raw counts. - Do not assume VCF normalization, FASTQ encoding, or coordinate build.
- Do not silently change filtering scope.
Output
Use:
- Inputs:
- Assumptions:
- Determinism:
- QC:
- Outputs:
- Smoke test:
Read the checklist matching the omics domain.