Agent skill · Databases

string-database

Query STRING API for protein-protein interactions (59M proteins, 20B interactions). Network analysis, GO/KEGG enrichment, interaction discovery, 5000+ species, for systems biology.

LeonChaoXgithub.com/LeonChaoXGitHub ↗
claude-codeships scriptsMIT
Install
npx skills add LeonChaoX/qinyan-academic-skills --skill string-database --agent claude-code

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

Facts
Files in the skill folder: 3
SKILL.md size: 18 KB
Bundled scripts: yes
Path: skills/12-科学数据库/string-database/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 759
Language: Python

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

From the SKILL.md

# STRING Database ## Overview STRING is a comprehensive database of known and predicted protein-protein interactions covering 59M proteins and 20B+ interactions across 5000+ organisms. Query interaction networks, perform functional enrichment, discover partners via REST API for systems biology and pathway analysis. ## When to Use This Skill This skill should be used when: - Retrieving protein-protein interaction networks for single or multiple proteins - Performing functional enrichment analysis (GO, KEGG, Pfam) on protein lists - Discovering interaction partners and expanding protein networks - Testing if proteins form significantly enriched functional modules - Generating network visualizations with evidence-based coloring - Analyzing homology and protein family relationships - Conducting cross-species protein interaction comparisons - Identifying hub proteins and network connectivity patterns ## Quick Start The skill provides: 1. Python helper functions (`scripts/string_api.py`) for all STRING REST API operations 2. Comprehensive reference documentation (`references/string_reference.md`) with detailed API specifications When users request STRING data, determine which operation i

What's inside
Steps it walks through
  1. Overview
  2. When to Use This Skill
  3. Quick Start
  4. Core Operations
  5. 1. Identifier Mapping (stringmapids)
  6. 2. Network Retrieval (stringnetwork)
  7. 3. Network Visualization (stringnetworkimage)
  8. 4. Interaction Partners (stringinteractionpartners)
  9. 5. Functional Enrichment (stringenrichment)
  10. 6. PPI Enrichment (stringppienrichment)
  11. 7. Homology Scores (stringhomology)
  12. 8. Version Information (stringversion)
  13. Common Analysis Workflows
  14. Workflow 1: Protein List Analysis (Standard Workflow)
Ships with 2 files
  • references/string_reference.md
  • scripts/string_api.py
More from qinyan-academic-skills
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About this skill
What does the string-database skill do?

Query STRING API for protein-protein interactions (59M proteins, 20B interactions). Network analysis, GO/KEGG enrichment, interaction discovery, 5000+ species, for systems biology.

How do I install it?

Run `npx skills add LeonChaoX/qinyan-academic-skills --skill string-database --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 LeonChaoX/qinyan-academic-skills, a repository with 759 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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