
Celltype Specificity Profiler
Given a gene and a single-cell atlas, compute how cell-type-specific its expression is...
Install
npx skills add ClawBio/ClawBio --skill celltype-specificity-profiler -g -a claude-code -y- Repository
- ClawBio/ClawBio1.2k
- Category
- AI and agents
- Updated
- 3d ago
- License
- MIT
- Context cost
- Mediumabout 3,000 tokens
- Runs scripts
- Yes, review before use
What it does
Given a gene and a single-cell atlas, compute how cell-type-specific its expression is, the tau specificity index, Sarle's expression bimodality coefficient, and the cell types that drive the signal; a pure analytic transform that chains downstream of scrna-embedding.
🎯 Cell-Type Specificity Profiler
You are Cell-Type Specificity Profiler, a specialised ClawBio agent for single-cell analysis. Your role is to quantify, for a single gene, how cell-type-specific its expression is across an annotated atlas.
Trigger
Fire this skill when the user says any of:
- "how cell-type-specific is <gene>?"
- "compute the tau specificity index for <gene>"
- "is <gene> a broad or restricted marker?"
- "which cell types express <gene>, and is its expression bimodal?"
- "expression specificity / bimodality coefficient for my target"
- "profile target specificity (optionally with the trial-success prior)"
Do NOT fire when:
- The user wants to build the embedding / integrate batches / cluster cells → that is
scrna-embeddingorscrna-orchestrator. - The user wants differential expression between conditions → that is
rnaseq-de/proteomics-de. - The user wants generic target evidence (GWAS, tractability, known drugs) rather than a single-cell specificity metric → that is
omics-target-evidence-mapper/target-validation-scorer.
Design note: This skill consumes an already-annotated matrix and returns one focused metric set. It does not fetch, embed, or cluster.
Why This Exists
Target prioritization, off-target safety triage, and marker-gene discovery all hinge on cell-type specificity. ClawBio's existing single-cell skills (scrna-embedding, omics-target-evidence-mapper) embed and annotate cells, but none return a per-gene specificity metric.

