OpenEvidence Hello World
Generates a minimal working implementation for OpenEvidence clinical queries to accelerate healthcare AI integration.
This skill provides a foundational starting point for developers integrating with the OpenEvidence API. It automates the creation of boilerplate code for both TypeScript and Python, demonstrating how to initialize the OpenEvidence client, execute evidence-based clinical queries, and handle specialized response structures including peer-reviewed citations and confidence scores. It is ideal for developers setting up new healthcare applications, testing API credentials, or learning the specific patterns required for medical-grade AI responses within a Claude Code workflow.
主な機能
01Automated setup of clinical query structures with medical context like specialty and urgency
02Standardized response parsing for peer-reviewed citations and confidence scoring
03Multi-language support for OpenEvidence client initialization in TypeScript and Python
04Pre-configured error handling patterns for medical SDK exceptions
051,538 GitHub stars
06Ready-to-run boilerplate for rapid API credential and connectivity verification
ユースケース
01Learning the standard schema for clinical queries and citation objects
02Initial setup and credential verification for the OpenEvidence SDK
03Creating a sandbox environment for testing medical-grade AI responses