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Ollama Local Deployment

jeremylongshore/claude-code-plugins-plus-skills

Automates Ollama installation, model selection, and integration so you can run self-hosted LLMs offline on macOS, Linux, or Docker with curated hardware guidance, Python/Node.js clients, and REST API verification.

OpenEvidence Clinical Workflow

openevidence-core-workflow-a

jeremylongshore/claude-code-plugins-plus-skills

Implements a point-of-care OpenEvidence workflow that structures clinical queries, calls the SDK, and integrates results with EHR/CDS hooks to return evidence-based guidance within seconds.

OpenEvidence Enterprise RBAC

openevidence-enterprise-rbac

jeremylongshore/claude-code-plugins-plus-skills

Guides configuring OpenEvidence enterprise SSO, role-based permissions, and organization controls for clinical AI apps, covering role definitions, SAML/OIDC integration, middleware protection, session handling, and multi-tenant management.

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 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.

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.

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 Model Catalog

openrouter-model-catalog

jeremylongshore/claude-code-plugins-plus-skills

Programmatically query and filter OpenRouter’s model catalog to identify available large language models, verify API connectivity, and test integration outputs before deployment. Ideal for selecting a fitting model or confirming availability.

Structured Text Generation

Orchestra-Research/AI-Research-SKILLs

Outlines guarantees valid JSON/XML/code generation via CFG-driven FSM filtering, Pydantic schemas, and fast local or API models (Transformers, vLLM, llama.cpp), making structured inference safe and high-performance.

Perplexity Architecture Patterns

perplexity-architecture-variants

jeremylongshore/claude-code-plugins-plus-skills

Guides choosing and implementing Perplexity-validated architectures across scales, from simple widgets to cached layers and automated research pipelines, including deployment trade-offs and error mitigation.

Perplexity Performance Tuning

perplexity-performance-tuning

jeremylongshore/claude-code-plugins-plus-skills

Optimize Perplexity Sonar API calls by selecting appropriate models, caching query hashes, streaming long research, and batching deduplicated requests for faster, cost-effective research or fact-checking workflows.

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