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abridge-common-errors

Diagnose and fix common Abridge clinical AI integration errors. Use when encountering EHR connectivity failures, note generation errors, audio streaming issues, or FHIR validation problems with Abridg

abridge-core-workflow-a

Implement Abridge ambient clinical documentation capture-to-note pipeline. Use when building the primary encounter workflow: audio capture, real-time transcription, AI note generation, and EHR note in

abridge-core-workflow-b

Implement Abridge patient-facing documentation and after-visit summary generation. Use when building patient portal integration, generating plain-language summaries, multi-language translations, or af

abridge-cost-tuning

Optimize Abridge clinical AI costs through tier selection, session management, and usage monitoring for healthcare organizations. Use when analyzing Abridge billing, optimizing encounter volume, or ri

abridge-deploy-integration

Deploy Abridge clinical AI integration to HIPAA-compliant cloud infrastructure. Use when deploying to GCP Cloud Run, AWS ECS, or Azure Container Apps with healthcare-grade secrets management and compl

abridge-hello-world

Create a minimal Abridge ambient AI clinical documentation example. Use when testing Abridge integration, verifying EHR connectivity, or learning how Abridge captures and structures clinical conversat

abridge-local-dev-loop

Configure Abridge local development with FHIR server, synthetic data, and hot reload. Use when setting up a development environment for clinical AI integration, testing encounter workflows locally, or

abridge-performance-tuning

Optimize Abridge clinical AI integration performance for high-volume deployments. Use when reducing note generation latency, optimizing audio streaming throughput, improving FHIR push performance, or

abridge-prod-checklist

Execute Abridge production readiness checklist for clinical AI deployment. Use when launching Abridge in a healthcare org, preparing for go-live, or validating HIPAA compliance before production deplo

abridge-rate-limits

Implement Abridge rate limiting, backoff, and session throttling patterns. Use when handling 429 errors, managing concurrent encounter sessions, or optimizing API throughput for high-volume clinical d

abridge-reference-architecture

Implement Abridge reference architecture for clinical AI integration. Use when designing a new Abridge deployment, reviewing project structure, or planning multi-site health system rollouts with EHR i

abridge-sdk-patterns

Apply production-ready patterns for Abridge clinical AI integration. Use when building reusable Abridge client wrappers, implementing HIPAA-compliant error handling, or establishing team coding standa

abridge-security-basics

Apply HIPAA-compliant security practices for Abridge clinical AI integrations. Use when securing PHI in transit/at rest, configuring access controls, implementing audit logging, or preparing for HIPAA

abridge-upgrade-migration

Plan and execute Abridge integration upgrades and EHR migration procedures. Use when upgrading Abridge API versions, migrating between EHR systems, or handling breaking changes in clinical documentati

abridge-webhooks-events

Implement Abridge webhook handling for clinical documentation events. Use when receiving note completion notifications, encounter status changes, provider enrollment events, or quality alert callbacks

anth-advanced-troubleshooting

Debug complex Claude API issues including context window overflow, tool use failures, streaming corruption, and response quality problems. Trigger with phrases like "anthropic advanced debug", "claude

anth-architecture-variants

Choose and implement Claude API architecture patterns for different scales: serverless, microservice, event-driven, and edge deployment. Trigger with phrases like "anthropic architecture", "claude ser

anth-deploy-integration

Deploy Claude API integrations to production cloud environments. Use when deploying Claude-powered services to Docker, Cloud Run, ECS, or Kubernetes with proper secret management and health checks. Tr

anth-incident-runbook

Execute incident response procedures for Claude API outages and degradation. Use when Claude API is returning errors, experiencing high latency, or showing degraded performance in production. Trigger

anth-migration-deep-dive

Migrate to Claude API from OpenAI, Gemini, or other LLM providers. Use when switching from GPT-4 to Claude, migrating from Text Completions, or building a multi-provider abstraction layer. Trigger wit

anth-performance-tuning

Optimize Claude API performance with prompt caching, model selection, streaming, and latency reduction techniques. Use when experiencing slow responses, optimizing token usage, or reducing time-to-fir

anth-policy-guardrails

Implement content policy guardrails, input/output validation, and usage governance for Claude API integrations. Trigger with phrases like "anthropic guardrails", "claude content policy", "claude input

anth-reference-architecture

Implement Claude API reference architectures for common use cases. Use when designing a Claude-powered application, choosing between direct API vs queue-based, or planning a multi-model architecture.

anth-reliability-patterns

Implement reliability patterns for Claude API: circuit breakers, graceful degradation, idempotency, and fallback strategies. Trigger with phrases like "anthropic reliability", "claude circuit breaker"