Is this skill specific to healthcare developers?

Yes, it is specifically optimized for developers and SREs integrating OpenEvidence, which is primarily used in the healthcare and clinical research space.

Can it fix OpenEvidence API outages?

While it cannot fix external server-side outages, it helps you implement client-side workarounds like caching or request queuing to maintain application stability.

How does it help with triage?

It guides the user through checking status pages, testing API connectivity with curl, and searching logs for error patterns using built-in terminal tools.

What is the primary function of this skill?

It automates the incident response workflow for OpenEvidence, providing triage steps and mitigation strategies for API issues.

What tools does this skill require?

It utilizes standard Claude Code tools including Read, Write, Edit, and Grep to interact with your codebase and logs during an incident.

OpenEvidence Incident Runbook

Name: OpenEvidence Incident Runbook
Author: jeremylongshore

byjeremylongshore

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1,844

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Analytics & Monitoring

Manages and executes standardized incident response procedures for OpenEvidence API integrations and services.

This skill provides an automated runbook for handling service disruptions or performance degradation within the OpenEvidence ecosystem. It enables developers to quickly triage issues by checking status pages, verifying API credentials, and analyzing logs using integrated diagnostic tools. By offering structured mitigation strategies like cached fallbacks and request queuing, it ensures high availability and streamlined communication during critical incidents in healthcare and research environments.

Key Features

01Pattern-based log analysis using Grep and Read tools

02Automated triage protocols based on P1-P3 severity levels

03Real-time connectivity and API credential verification

04Structured mitigation workflows including cached responses and queuing

051,844 GitHub stars

06Direct integration with OpenEvidence status monitoring resources

Use Cases

01Diagnosing API connectivity issues during a production outage

02Implementing emergency request queuing when service degradation is detected

03Standardizing incident documentation and team notifications for healthcare SaaS

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jeremylongshore/claude-code-plugins-plus-skills openevidence-incident-runbook

For use in Claude.ai and ChatGPT

Key Features

01Pattern-based log analysis using Grep and Read tools

02Automated triage protocols based on P1-P3 severity levels

03Real-time connectivity and API credential verification

04Structured mitigation workflows including cached responses and queuing

051,844 GitHub stars

06Direct integration with OpenEvidence status monitoring resources

Use Cases

01Diagnosing API connectivity issues during a production outage

02Implementing emergency request queuing when service degradation is detected

03Standardizing incident documentation and team notifications for healthcare SaaS

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jeremylongshore/claude-code-plugins-plus-skills openevidence-incident-runbook

For use in Claude.ai and ChatGPT