Agent skill

bio-pathway-wikipathways

WikiPathways enrichment using clusterProfiler and rWikiPathways. Use when analyzing gene lists against community-curated open-source pathways. Performs over-representation analysis and GSEA for 30+ species.

FreedomIntelligencegithub.com/FreedomIntelligenceGitHub ↗
claude-code
Install
npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-pathway-wikipathways --agent claude-code

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

Facts
Files in the skill folder: 4
SKILL.md size: 7 KB
Bundled scripts: none
Path: skills/bio-pathway-wikipathways/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 2,909
Language: Python
Read our review of the source →

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

From the SKILL.md

## Version Compatibility Reference examples tested with: ReactomePA 1.46+, clusterProfiler 4.10+, rWikiPathways 1.24+ Before using code patterns, verify installed versions match. If versions differ: - R: `packageVersion('<pkg>')` then `?function_name` to verify parameters If code throws ImportError, AttributeError, or TypeError, introspect the installed package and adapt the example to match the actual API rather than retrying. # WikiPathways Enrichment ## Core Pattern - Over-Representation Analysis **Goal:** Identify WikiPathways that are over-represented in a gene list. **Approach:** Test for enrichment using enrichWP against community-curated open-source pathway definitions. **"Run pathway enrichment against WikiPathways"** → Test whether genes from community-curated WikiPathways are over-represented among significant genes. ```r library(clusterProfiler) library(org.Hs.eg.db) wp_result <- enrichWP( gene = entrez_ids, # Character vector of Entrez IDs organism = 'Homo sapiens', # Full species name pvalueCutoff = 0.05, pAdjustMethod = 'BH' ) head(as.data.frame(wp_result)) ``` ## Prepare Gene List **Goal:** Extract significant Entrez gene IDs from DE results for WikiPathways enrichm

What's inside
Steps it walks through
  1. Version Compatibility
  2. Core Pattern - Over-Representation Analysis
  3. Prepare Gene List
  4. GSEA on WikiPathways
  5. With Background Universe
  6. Make Results Readable
  7. Visualization
  8. Using rWikiPathways Directly
  9. Custom GMT-Based Analysis
  10. Different Organisms
  11. Compare Clusters
  12. Export Results
  13. Key Parameters
  14. Common Organisms
Ships with 3 files
  • examples/wikipathways_explore.R
  • examples/wikipathways_ora.R
  • usage-guide.md
More from OpenClaw-Medical-Skills
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About this skill
What does the bio-pathway-wikipathways skill do?

WikiPathways enrichment using clusterProfiler and rWikiPathways. Use when analyzing gene lists against community-curated open-source pathways. Performs over-representation analysis and GSEA for 30+ species.

How do I install it?

Run `npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-pathway-wikipathways --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 FreedomIntelligence/OpenClaw-Medical-Skills, a repository with 2,909 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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