What environments does this skill support?

It supports Development, Staging, and Production environments with specific configurations for each, including unique base URLs, timeout settings, and secret management paths.

Does this include security features for healthcare?

Yes, it includes patterns for GCP/Kubernetes secret management, environment-specific feature flagging, and health check endpoints to ensure compliance and high availability.

How does it handle production safety?

The skill implements canary rollouts—starting with 10% traffic—and automated 5-minute monitoring intervals before full release, allowing for immediate rollbacks if error rates exceed thresholds.

Which deployment platforms are compatible?

While it includes specific configurations for Google Cloud Run and Kubernetes, the patterns can be adapted for AWS or Azure environments following the provided multi-environment interface.

OpenEvidence Deployment Integration

Name: OpenEvidence Deployment Integration
Author: jeremylongshore

byjeremylongshore

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1,243

Deployment & DevOps

Deploys OpenEvidence clinical AI integrations to production healthcare environments with security and compliance configurations.

About

This skill automates the complex process of rolling out OpenEvidence clinical AI solutions into production, ensuring that deployments adhere to healthcare-grade security and reliability standards. It provides comprehensive scaffolding for multi-environment configurations, automated CI/CD pipelines featuring canary release strategies, and Kubernetes manifests. By integrating automated health checks and rollback procedures, the skill helps developers maintain high availability and minimize risk when releasing clinical evidence tools to medical professionals.

Key Features

Kubernetes and Cloud Run deployment manifest generation
Multi-environment configuration scaffolding (Dev, Staging, Production)
GitHub Actions workflows for automated CI/CD with canary releases
Scripted rollback procedures for rapid recovery
Automated clinical-grade health check endpoints
1,243 GitHub stars

Use Cases

Configuring secure secret management and compliance-ready CI/CD pipelines
Setting up production-ready cloud infrastructure for OpenEvidence integrations
Implementing safe canary rollouts to monitor AI error rates in real-time

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jeremylongshore/claude-code-plugins-plus-skills openevidence-deploy-integration

For use in Claude.ai and ChatGPT

Download Skill

GitHub