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OpenEvidence Multi Environment Setup

openevidence-multi-env-setup

jeremylongshore/claude-code-plugins-plus-skills

Coordinates environment configuration, secret management, promotion workflows, and health checks for OpenEvidence across development, staging, and production, ensuring smooth clinical AI deployments.

OpenEvidence Observability Setup

openevidence-observability

jeremylongshore/claude-code-plugins-plus-skills

Configure OpenEvidence clinical AI integrations with Prometheus metrics, OpenTelemetry tracing, structured logging, and Grafana dashboards so you can monitor health, latency, errors, cache behavior, and alerts.

OpenEvidence Performance Tuning

openevidence-performance-tuning

jeremylongshore/claude-code-plugins-plus-skills

Guides tuning OpenEvidence clinical queries through streamlined prompts, dynamic caching, connection pooling, batching, and monitoring to meet latency targets and safeguard clinical response times.

OpenEvidence Production Readiness

openevidence-prod-checklist

jeremylongshore/claude-code-plugins-plus-skills

Structured production checklist guiding OpenEvidence clinical AI deployments through legal, security, infrastructure, monitoring, resilience, and testing milestones to ensure compliant launches and pre-deployment reviews.

OpenEvidence Rate Limits

openevidence-rate-limits

jeremylongshore/claude-code-plugins-plus-skills

Controls OpenEvidence clinical API throughput by enforcing per-endpoint limits, prioritizing stat queries, and handling 429s with retries and backoff so latency-sensitive medical requests remain compliant and responsive.

OpenEvidence Reference Architecture

openevidence-reference-architecture

jeremylongshore/claude-code-plugins-plus-skills

Provides a layered reference architecture for building clinical AI integrations with OpenEvidence, covering project layout, compliant client/service layers, FHIR/CDS Hooks integration, and typed configuration management.

Clinical AI SDK Patterns

openevidence-sdk-patterns

jeremylongshore/claude-code-plugins-plus-skills

Guides building clinical AI integrations with the OpenEvidence SDK, covering singleton client setup, typed query builders, response transformers, and caching strategies for reliable decision support.

OpenEvidence SDK Migration

openevidence-upgrade-migration

jeremylongshore/claude-code-plugins-plus-skills

Guides upgrading the OpenEvidence SDK, migrating between API versions, and building adapters so clinical workflows keep running while you switch dependencies, type definitions, and deep consult integrations.

Openperplex Automation Guide

openperplex-automation

ComposioHQ/awesome-claude-skills

Automates Openperplex operations by orchestrating Rube MCP calls via Composio, covering discovery, connection validation, tool execution, and schema-aware workflows.

OpenRouter Fallback

openrouter-fallback-config

jeremylongshore/claude-code-plugins-plus-skills

Configures model fallback chains for OpenRouter so LLM applications automatically switch to backup models when primary ones fail, ensuring high availability and monitored performance.

OpenRouter Function Calling

openrouter-function-calling

jeremylongshore/claude-code-plugins-plus-skills

Use this skill to implement OpenRouter function and tool calling when building agents or structured outputs with supported models such as GPT-4 or Claude, covering prerequisites, implementation guidance, testing, and production monitoring for API integrations.

OpenRouter Load Balancer

openrouter-load-balancing

jeremylongshore/claude-code-plugins-plus-skills

Implements load balancing strategies for OpenRouter by distributing requests across multiple API keys or configurations, ensuring scalable traffic handling and geographic distribution for resilient integrations.

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