Agent skill

tooluniverse-systems-biology

Comprehensive systems biology and pathway analysis using multiple pathway databases (Reactome, KEGG, WikiPathways, Pathway Commons, BioModels). Performs pathway enrichment, protein-pathway mapping, keyword searches, and systems-level analysis. Use when analyzing gene sets, exploring biological pathways, or investigating systems-level biology.

BioTender-maxgithub.com/BioTender-maxGitHub ↗
claude-codeships scriptsNOASSERTION
Install
npx skills add BioTender-max/awesome-bio-agent-skills --skill tooluniverse-systems-biology --agent claude-code

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

Facts
Files in the skill folder: 9
SKILL.md size: 13 KB
Bundled scripts: yes
Path: skills/openclaw/tooluniverse-systems-biology/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 135
Language: Python

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

From the SKILL.md

# Systems Biology & Pathway Analysis Comprehensive pathway and systems biology analysis integrating multiple curated databases to provide multi-dimensional view of biological systems, pathway enrichment, and protein-pathway relationships. ## When to Use This Skill **Triggers**: - "Analyze pathways for this gene list" - "What pathways is [protein] involved in?" - "Find pathways related to [keyword/process]" - "Perform pathway enrichment analysis" - "Map proteins to biological pathways" - "Find computational models for [process]" - "Systems biology analysis of [genes/proteins]" **Use Cases**: 1. **Gene Set Analysis**: Identify enriched pathways from RNA-seq, proteomics, or screen results 2. **Protein Function**: Discover pathways and processes a protein participates in 3. **Pathway Discovery**: Find pathways related to diseases, processes, or phenotypes 4. **Systems Integration**: Connect genes → pathways → processes → diseases 5. **Model Discovery**: Find computational systems biology models (SBML) 6. **Cross-Database Validation**: Compare pathway annotations across multiple sources ## Core Databases Integrated | Database | Coverage | Strengths | |----------|----------|-----------|

What's inside
Steps it walks through
  1. When to Use This Skill
  2. Core Databases Integrated
  3. Workflow Overview
  4. Phase 1: Pathway Enrichment Analysis
  5. Tools Used
  6. Workflow
  7. Decision Logic
  8. Phase 2: Protein-Pathway Mapping
  9. Phase 3: Keyword-Based Pathway Search
  10. Phase 4: Top-Level Pathway Catalog
  11. Output Structure
  12. Report Format
  13. Data Tables
  14. Tool Parameter Reference
Ships with 8 files
  • .env.template
  • QUICK_START.md
  • python_implementation.py
  • test1_genelist.md
  • test2_protein.md
  • test3_keyword.md
  • test4_combined.md
  • test_skill.py
More from awesome-bio-agent-skills
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About this skill
What does the tooluniverse-systems-biology skill do?

Comprehensive systems biology and pathway analysis using multiple pathway databases (Reactome, KEGG, WikiPathways, Pathway Commons, BioModels). Performs pathway enrichment, protein-pathway mapping, keyword searches, and systems-level analysis. Use when analyzing gene sets, exploring biological pathways, or investigating systems-level biology.

How do I install it?

Run `npx skills add BioTender-max/awesome-bio-agent-skills --skill tooluniverse-systems-biology --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 BioTender-max/awesome-bio-agent-skills, a repository with 135 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.

Keep going