lifesciences-graph-builder
CommunityOrchestrates life-sciences APIs to build knowledge graphs.
Education & Research#provenance#knowledge-graph#entity-resolution#lifesciences#multitool#edge-discovery
Authordonbr
Version1.0.0
Installs0
System Documentation
What problem does it solve?
The skill solves the challenge of building validated life-sciences knowledge graphs by orchestrating multi-API entity resolution and edge discovery to produce provenance-traced results.
Core Features & Use Cases
- End-to-end graph construction across genes, proteins, pathways, drugs, and diseases using the Fuzzy-to-Fact protocol.
- Provenance-rich results with canonical identifiers and source-trusted data from MCP tools and curl-based edge discovery.
- Use Case: Build drug-target networks for repurposing and pathway analyses to inform experimental design.
Quick Start
Provide a query (e.g., TP53) and generate a provenance-rich knowledge graph linking genes, proteins, pathways, drugs, and diseases using MCP tools.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: lifesciences-graph-builder Download link: https://github.com/donbr/lifesciences-deepagents/archive/main.zip#lifesciences-graph-builder Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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