Agent skill · Data & Analytics

Omics Analysis Skills Index

Skills for single-cell and spatial omics data analysis. Best practices, code snippets, and workflows for the scverse ecosystem.

BioTender-maxgithub.com/BioTender-maxGitHub ↗
claude-codeNOASSERTION
Install
npx skills add BioTender-max/awesome-bio-agent-skills --skill omics --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 5 KB
Bundled scripts: none
Path: skills/pantheon/omics/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 135
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Agent Skills for Omics Data Analysis Best practices and workflows for single-cell and spatial omics analysis. Load the relevant skill files when performing specific analysis tasks. ## Core Single-Cell Skills High-priority, actionable workflows for the most common single-cell analysis tasks. **Skill index**: [single_cell/SKILL.md](./single_cell/SKILL.md) **Skills**: - **Quality Control**: Filtering, doublet detection, normalization, QC metrics - **Cell Type Annotation**: Marker-based and reference-based label assignment - **Trajectory Inference**: Pseudotime, lineage tracing, RNA velocity --- ## Gene Panel Selection End-to-end workflow for designing gene panels in scRNA-seq and spatial transcriptomics (HVG/DE/RF/scGeneFit/SpaPROS), with sub-panel discovery, consensus scoring, biological completion, and benchmarking. **Skill folder**: [gene_panel_selection/](./gene_panel_selection/) **When to use**: - Designing a gene panel for spatial transcriptomics - Benchmarking existing panels (ARI/NMI/Silhouette + UMAP) - **IMPORTANT**: When doing gene panel selection, **strictly** follow this workflow --- ## Spatial Omics Skills for spatial transcriptomics mapping, imputation, and 3D visuali

What's inside
Steps it walks through
  1. Core Single-Cell Skills
  2. Gene Panel Selection
  3. Spatial Omics
  4. Single-Cell Foundation Models (SCFM)
  5. Database Access
  6. Upstream Processing
  7. General Data Analysis
  8. Supplementary Reference: SC Best Practices
  9. Using Skills
More from awesome-bio-agent-skills
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About this skill
What does the Omics Analysis Skills Index skill do?

Skills for single-cell and spatial omics data analysis. Best practices, code snippets, and workflows for the scverse ecosystem.

How do I install it?

Run `npx skills add BioTender-max/awesome-bio-agent-skills --skill omics --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From BioTender-max/awesome-bio-agent-skills, a repository with 135 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going