scrnametaboliclandscape
Comprehensive metabolic landscape analysis pipeline for scRNA-seq data. This is an all-in-one process group performing complete metabolic pathway analysis including expression imputation, feature selection, pathway activity calculation, and heterogeneity analysis. Based on methodology from Xiao et al.
npx skills add majiayu000/claude-skill-registry --skill scrnametaboliclandscape --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.
# ScrnaMetabolicLandscape Process Configuration ## Purpose Comprehensive metabolic landscape analysis pipeline for scRNA-seq data. This is an all-in-one process group performing complete metabolic pathway analysis including expression imputation, feature selection, pathway activity calculation, and heterogeneity analysis. Based on methodology from Xiao et al. (2019) Nature Communications. **Key difference from individual Metabolic* processes**: ScrnaMetabolicLandscape runs multiple related metabolic analysis steps as a coordinated workflow. Use this for complete metabolic analysis pipeline. Use individual processes (MetabolicInput, MetabolicExprImputation, MetabolicFeatures, MetabolicPathwayActivity, MetabolicPathwayHeterogeneity) for fine-grained control or specific steps only. ## When to Use - **Complete metabolic analysis workflow**: Need all metabolic landscape analyses (imputation → activity → heterogeneity → features) - **Comprehensive metabolic profiling**: Study metabolic heterogeneity across cell clusters or conditions - **Pathway-centric analysis**: Have metabolic pathway gene sets (GMT files) and want to explore pathway activity - **Comparative metabolic analysis**: Comp
- Purpose
- When to Use
- Configuration Structure
- Process Enablement
- Input Specification
- Environment Variables
- Individual Process Configuration
- Configuration Examples
- Minimal Configuration
- Complete Metabolic Analysis
- Multiple Analysis Cases
- Common Patterns
- Pattern 1: Standard Metabolic Workflow
- Pattern 2: Focused Pathway Analysis
What does the scrnametaboliclandscape skill do?
Comprehensive metabolic landscape analysis pipeline for scRNA-seq data. This is an all-in-one process group performing complete metabolic pathway analysis including expression imputation, feature selection, pathway activity calculation, and heterogeneity analysis. Based on methodology from Xiao et al.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill scrnametaboliclandscape --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.