Agent skill · Code Review & Quality

Single-Cell Analysis Skills Index

Core skills for single-cell RNA-seq analysis: quality control, cell type annotation, and trajectory inference. These are high-priority actionable workflows — load them first for common single-cell tasks.

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

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

Facts
Files in the skill folder: 4
SKILL.md size: 2 KB
Bundled scripts: none
Path: skills/pantheon/single_cell/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

# Core Single-Cell Analysis Skills High-priority, actionable workflows for the most common single-cell analysis tasks. For deeper background and alternative methods, see the supplementary [SC Best Practices](../sc_best_practices/SKILL.md) reference. ## Available Skills ### Quality Control Standard QC workflow: filtering low-quality cells, doublet detection, normalization, and QC metric visualization. **Skill file**: [quality_control.md](./quality_control.md) **When to use**: - Starting analysis of a new single-cell dataset - Need to filter low-quality cells - Assessing data quality metrics ### Cell Type Annotation Marker-based and reference-based approaches for assigning cell type labels. **Skill file**: [cell_type_annotation.md](./cell_type_annotation.md) **When to use**: - After clustering, need to assign cell type labels - Using marker genes for annotation - Using reference-based methods (CellTypist, scArches) ### Trajectory Inference Pseudotime analysis and trajectory inference for cell differentiation, lineage tracing, and RNA velocity. **Skill file**: [trajectory_inference.md](./trajectory_inference.md) **When to use**: - Studying cell differentiation paths - Neurogenesis or

What's inside
Steps it walks through
  1. Available Skills
  2. Quality Control
  3. Cell Type Annotation
  4. Trajectory Inference
Ships with 3 files
  • cell_type_annotation.md
  • quality_control.md
  • trajectory_inference.md
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About this skill
What does the Single-Cell Analysis Skills Index skill do?

Core skills for single-cell RNA-seq analysis: quality control, cell type annotation, and trajectory inference. These are high-priority actionable workflows — load them first for common single-cell tasks.

How do I install it?

Run `npx skills add BioTender-max/awesome-bio-agent-skills --skill single_cell --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.

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