Agent skill

metabolicinput

Pass-through process that prepares Seurat object for metabolic landscape analysis. Routes the processed Seurat object to downstream metabolic analysis processes (MetabolicExprImputation, MetabolicPathwayActivity, MetabolicFeatures, MetabolicPathwayHeterogeneity).

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill metabolicinput-pwwang-immunopipe-be5747be --agent claude-code

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

Facts
Files in the skill folder: 2
SKILL.md size: 11 KB
Bundled scripts: none
Path: skills/ai-ml/metabolicinput-pwwang-immunopipe-be5747be/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

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

From the SKILL.md

--- name: metabolicinput description: Pass-through process that prepares Seurat object for metabolic landscape analysis. Routes the processed Seurat object to downstream metabolic analysis processes (MetabolicExprImputation, MetabolicPathwayActivity, MetabolicFeatures, MetabolicPathwayHeterogeneity). **Note**: This process requires no direct configuration. --- # MetabolicInput Process Configuration ## Purpose Pass-through process that prepares Seurat object for metabolic landscape analysis. Routes the processed Seurat object to downstream metabolic analysis processes (MetabolicExprImputation, MetabolicPathwayActivity, MetabolicFeatures, MetabolicPathwayHeterogeneity). **Note**: This process requires no direct configuration. All metabolic analysis parameters are configured at the ScrnaMetabolicLandscape group level. ## When to Use - First step in modular metabolic analysis workflow - When you want to perform metabolic pathway analysis on single-cell RNA-seq data - Alternative to ScrnaMetabolicLandscape (same group, modular approach) - After clustering is complete (SeuratClustering or related processes) - When investigating metabolic heterogeneity across cell types or conditions ## C

What's inside
Steps it walks through
  1. Purpose
  2. When to Use
  3. Configuration Structure
  4. Process Enablement
  5. Input Specification
  6. Environment Variables (Group Level)
  7. Metabolic Pathway Databases
  8. Available Databases (via enrichit)
  9. Database Descriptions
  10. Species-Specific Considerations
  11. Configuration Examples
  12. Minimal Configuration (Default KEGG)
  13. KEGG Human Pathways (Explicit)
  14. Reactome Pathways
Ships with 1 file
  • metadata.json
More from claude-skill-registry
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About this skill
What does the metabolicinput skill do?

Pass-through process that prepares Seurat object for metabolic landscape analysis. Routes the processed Seurat object to downstream metabolic analysis processes (MetabolicExprImputation, MetabolicPathwayActivity, MetabolicFeatures, MetabolicPathwayHeterogeneity).

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill metabolicinput-pwwang-immunopipe-be5747be --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.

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