Proteomics
Proteomics analysis toolkit for label-free quantitative proteomics. Invokes R scripts for normalization, visualization (volcano, heatmap, PCA, LOPIT), pathway analysis (KEGG, ConsensusPathDB), and protein list cross-referencing (MISEV2018, SASP, Matrisome). USE WHEN user says 'analyze proteomics', 'volcano plot', 'normalize protein data', 'pathway enrichment', 'check EV markers', 'SASP analysis', 'matrisome', OR mentions q-value, fold-change, or protein quantification.
npx skills add majiayu000/claude-skill-registry --skill proteomics-skill --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.
# Proteomics Quantitative proteomics analysis toolkit combining R script invocation with embedded methodology knowledge. Fully portable - all scripts and reference data included. **Skill Directory:** `~/.claude/Skills/Proteomics/` --- ## Workflow Routing **When executing a workflow, output this notification:** ``` Running the **WorkflowName** workflow from the **Proteomics** skill... ``` | Workflow | Trigger | File | |----------|---------|------| | **Normalize** | "normalize data", "apply normalization", "median/quantile/loess normalize" | `workflows/Normalize.md` | | **VolcanoPlot** | "volcano plot", "create volcano", "visualize fold change" | `workflows/VolcanoPlot.md` | | **Heatmap** | "heatmap", "PCA", "correlation plot", "sample clustering" | `workflows/Heatmap.md` | | **PathwayAnalysis** | "pathway analysis", "KEGG enrichment", "ConsensusPathDB", "GO enrichment" | `workflows/PathwayAnalysis.md` | | **ProteinListQuery** | "check EV markers", "MISEV proteins", "exosome markers", "blood contaminants" | `workflows/ProteinListQuery.md` | | **ExcelWorkup** | "create Excel report", "filter by q-value", "generate data tables" | `workflows/ExcelWorkup.md` | | **Matrisome** | "matrisom
- Workflow Routing
- Examples
- R Script Quick Reference
- Standard Parameters
- Reference Data Available
- Required Data Structure
- Invocation Pattern
- When NOT to Use This Skill
cd [PROJECT_WORKING_DIR] Rscript ~/.claude/Skills/Proteomics/rscripts/[SCRIPT_NAME].R
What does the Proteomics skill do?
Proteomics analysis toolkit for label-free quantitative proteomics. Invokes R scripts for normalization, visualization (volcano, heatmap, PCA, LOPIT), pathway analysis (KEGG, ConsensusPathDB), and protein list cross-referencing (MISEV2018, SASP, Matrisome). USE WHEN user says 'analyze proteomics', 'volcano plot', 'normalize protein data', 'pathway enrichment', 'check EV markers', 'SASP analysis', 'matrisome', OR mentions q-value, fold-change, or protein quantification.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill proteomics-skill --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.