seuratclusteringofallcells
Performs coarse clustering on ALL cells (including T cells, B cells, and non-T/B cells) before cell type selection. This process identifies broad cell populations to enable subsequent T/B cell selection via `TOrBCellSelection`. Unlike `SeuratClustering` which works on already-selected T/B cells, this provides initial clustering on heterogeneous cell populations.
Profile →npx skills add majiayu000/claude-skill-registry --skill seuratclustering --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# SeuratClusteringOfAllCells Process Configuration ## Purpose Performs coarse clustering on ALL cells (including T cells, B cells, and non-T/B cells) before cell type selection. This process identifies broad cell populations to enable subsequent T/B cell selection via `TOrBCellSelection`. Unlike `SeuratClustering` which works on already-selected T/B cells, this provides initial clustering on heterogeneous cell populations. ## When to Use - **Mixed cell populations**: When your data contains both T/B cells AND non-T/B cells - **Pre-selection clustering**: Required upstream of `TOrBCellSelection` process - **Broad cell type identification**: To identify major cell lineages before fine-grained analysis - **TCR/BCR data analysis**: When you have scRNA-seq + scTCR/scBCR data with mixed populations - **Do NOT use when**: All cells are already T/B cells (use `SeuratClustering` instead) ## Configuration Structure ### Process Enablement ```toml [SeuratClusteringOfAllCells] cache = true ``` ### Input Specification ```toml [SeuratClusteringOfAllCells.in] srtobj = ["SeuratPreparing"] ``` ### Environment Variables #### Core Parameters ```toml [SeuratClusteringOfAllCells.envs] ncores = 1 ident =
- Purpose
- When to Use
- Configuration Structure
- Process Enablement
- Input Specification
- Environment Variables
- External References
- Configuration Examples
- Minimal Configuration
- Standard Pre-selection Clustering
- Multiple Resolutions
- Integrated Data
- Common Patterns
- Pattern 1: Coarse Clustering for Cell Type ID
What does the seuratclusteringofallcells skill do?
Performs coarse clustering on ALL cells (including T cells, B cells, and non-T/B cells) before cell type selection. This process identifies broad cell populations to enable subsequent T/B cell selection via `TOrBCellSelection`. Unlike `SeuratClustering` which works on already-selected T/B cells, this provides initial clustering on heterogeneous cell populations.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill seuratclustering --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 majiayu000/claude-skill-registry, a repository with 534 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.