Omics Analysis Skills Index
From the author
Skills for single-cell and spatial omics data analysis. Best practices, code snippets, and workflows for the scverse ecosystem.
Install
npx skills add BioTender-max/awesome-bio-agent-skills --skill 'Omics Analysis Skills Index' -a claude-code
Installs to .claude/skills/Omics-Analysis-Skills-Index/ · Each command fetches the skill straight from GitHub with the open skills CLI.
No download: this skill’s licence (Custom or unclear) does not let us redistribute its files. The install commands fetch them from GitHub instead.
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Why 74
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- scvi-toolsK-Dense-AI/scientific-agent-skillsFits probabilistic models for single-cell omics, including scVI batch integration, scANVI annotation, totalVI CITE-seq, MultiVI RNA/ATAC integration, and posterior differential expression. Use for generative modeling, reference mapping, multimodal analysis, or model-based uncertainty; use scanpy for standard preprocessing and exploratory analysis.Other★ 56.2K
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- nf-core Pipelines Skills IndexBioTender-max/awesome-bio-agent-skillsSkills for using nf-core community pipelines to process omics data, from installation and configuration to running specific analysis pipelines.Planning★ 215
- anndataK-Dense-AI/scientific-agent-skillsHandles annotated matrices in single-cell analysis, .h5ad and Zarr files, and integration with the scverse ecosystem. This is the data format skill—for analysis workflows use scanpy; for probabilistic models use scvi-tools; for population-scale queries use cellxgene-census.Other★ 56.2K
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