backend-dev-guidelines
langfuseComprehensive backend development guide for Langfuse's Next.js 14/tRPC/Express/TypeScript monorepo. Use when creating tRPC routers, public API endpoints, BullMQ queue processors, services, or working with tRPC procedures, Next.js API routes, Prisma database access, ClickHouse analytics queries, Redis queues, OpenTelemetry instrumentation, Zod v4 validation, env.mjs configuration, tenant isolation patterns, or async patterns. Covers layered architecture (tRPC procedures → services, queue processors → services), dual database system (PostgreSQL + ClickHouse), projectId filtering for multi-tenant isolation, traceException error handling, observability patterns, and testing strategies (Jest for web, vitest for worker).
phoenix-observability
davila7Open-source AI observability platform for LLM tracing, evaluation, and monitoring. Use when debugging LLM applications with detailed traces, running evaluations on datasets, or monitoring production AI systems with real-time insights.
trulens-instrumentation
trueraInstrument LLM apps with TruLens OTEL-based tracing - from setup to debugging and optimization
azure-monitor-opentelemetry-py
microsoftAzure Monitor OpenTelemetry Distro for Python. Use for one-line Application Insights setup with auto-instrumentation. Triggers: "azure-monitor-opentelemetry", "configure_azure_monitor", "Application Insights", "OpenTelemetry distro", "auto-instrumentation".
azure-monitor-opentelemetry-exporter-py
microsoftAzure Monitor OpenTelemetry Exporter for Python. Use for low-level OpenTelemetry export to Application Insights. Triggers: "azure-monitor-opentelemetry-exporter", "AzureMonitorTraceExporter", "AzureMonitorMetricExporter", "AzureMonitorLogExporter".
azure-monitor-opentelemetry-exporter-java
microsoftAzure Monitor OpenTelemetry Exporter for Java. Export OpenTelemetry traces, metrics, and logs to Azure Monitor/Application Insights. Triggers: "AzureMonitorExporter java", "opentelemetry azure java", "application insights java otel", "azure monitor tracing java". Note: This package is DEPRECATED. Migrate to azure-monitor-opentelemetry-autoconfigure.
azure-monitor-opentelemetry-ts
microsoftInstrument applications with Azure Monitor and OpenTelemetry for JavaScript (@azure/monitor-opentelemetry). Use when adding distributed tracing, metrics, and logs to Node.js applications with Application Insights.
azure-monitor-opentelemetry-exporter-java
Azure Monitor OpenTelemetry Exporter for Java. Export OpenTelemetry traces, metrics, and logs to Azure Monitor/Application Insights. Triggers: "AzureMonitorExporter java", "opentelemetry azure java", "application insights java otel", "azure monitor tracing java". Note: This package is DEPRECATED. Migrate to azure-monitor-opentelemetry-autoconfigure.
azure-monitor-opentelemetry-exporter-py
Azure Monitor OpenTelemetry Exporter for Python. Use for low-level OpenTelemetry export to Application Insights. Triggers: "azure-monitor-opentelemetry-exporter", "AzureMonitorTraceExporter", "AzureMonitorMetricExporter", "AzureMonitorLogExporter".
azure-monitor-opentelemetry-py
Azure Monitor OpenTelemetry Distro for Python. Use for one-line Application Insights setup with auto-instrumentation. Triggers: "azure-monitor-opentelemetry", "configure_azure_monitor", "Application Insights", "OpenTelemetry distro", "auto-instrumentation".
setting-up-distributed-tracing
This skill automates the setup of distributed tracing for microservices. It helps developers implement end-to-end request visibility by configuring context propagation, span creation, trace collection, and analysis. Use this skill when the user requests to set up distributed tracing, implement observability, or troubleshoot performance issues in a microservices architecture. The skill is triggered by phrases such as 'setup tracing', 'implement distributed tracing', 'configure opentelemetry', or 'add observability to microservices'.
OpenTelemetry Instrumentation Extension
dockerExtend OpenTelemetry instrumentation when new functionality is added to the MCP Gateway. Use when (1) new operations/functions are added, (2) reviewing code for missing instrumentation, (3) user requests otel/telemetry additions, or (4) working with state-changing operations. Analyzes git diff, suggests instrumentation points following project standards in docs/telemetry/README.md, implements with approval, writes tests, updates documentation, and verifies with debug logging and docker logs.
aspire-service-defaults
AarononthewebCreate a shared ServiceDefaults project for Aspire applications. Centralizes OpenTelemetry, health checks, resilience, and service discovery configuration across all services.
metrics-schema-generator
a5c-aiGenerate metrics schemas for Prometheus, OpenTelemetry, and Grafana dashboards
opentelemetry-llm
a5c-aiOpenTelemetry instrumentation for LLM applications with distributed tracing
opentelemetry-integrator
a5c-aiIntegrate OpenTelemetry tracing and metrics into SDKs
tracing-schema-generator
a5c-aiGenerate distributed tracing schemas for OpenTelemetry with Jaeger/Zipkin integration
performance-engineer
DokhacgiakhoaExpert performance engineer specializing in modern observability, application optimization, and scalable system performance. Masters OpenTelemetry, distributed tracing, load testing, multi-tier caching, Core Web Vitals, and performance monitoring.
implementing-observability
ancolemanMonitoring, logging, and tracing implementation using OpenTelemetry as the unified standard. Use when building production systems requiring visibility into performance, errors, and behavior. Covers OpenTelemetry (metrics, logs, traces), Prometheus, Grafana, Loki, Jaeger, Tempo, structured logging (structlog, tracing, slog, pino), and alerting.
building-with-observability
panaversityBuild Kubernetes observability stacks with Prometheus, Grafana, OpenTelemetry, Jaeger, and Loki. Use when implementing metrics, tracing, logging, SRE practices, or cost engineering for cloud-native applications.
net-observability
mitkoxImplement observability patterns with OpenTelemetry, structured logging, and distributed tracing
backend-dev-guidelines
MicrockComprehensive backend development guide for Langfuse's Next.js 14/tRPC/Express/TypeScript monorepo. Use when creating tRPC routers, public API endpoints, BullMQ queue processors, services, or working with tRPC procedures, Next.js API routes, Prisma database access, ClickHouse analytics queries, Redis queues, OpenTelemetry instrumentation, Zod v4 validation, env.mjs configuration, tenant isolation patterns, or async patterns. Covers layered architecture (tRPC procedures → services, queue processors → services), dual database system (PostgreSQL + ClickHouse), projectId filtering for multi-tenant isolation, traceException error handling, observability patterns, and testing strategies (Jest for web, vitest for worker).
nextjs-deployment
giuseppe-trisciuoglioProvides comprehensive patterns for deploying Next.js applications to production. Use when configuring Docker containers, setting up GitHub Actions CI/CD pipelines, managing environment variables, implementing preview deployments, or setting up monitoring and logging for Next.js applications. Covers standalone output, multi-stage Docker builds, health checks, OpenTelemetry instrumentation, and production best practices.
monitoring-observability
ahmedasmarMonitoring and observability strategy, implementation, and troubleshooting. Use for designing metrics/logs/traces systems, setting up Prometheus/Grafana/Loki, creating alerts and dashboards, calculating SLOs and error budgets, analyzing performance issues, and comparing monitoring tools (Datadog, ELK, CloudWatch). Covers the Four Golden Signals, RED/USE methods, OpenTelemetry instrumentation, log aggregation patterns, and distributed tracing.
OpenTelemetry Testing
PramodDuttaTesting distributed tracing and observability instrumentation with OpenTelemetry including span verification, metric collection, and log correlation.
swift
JoannisExpert guidance on Swift best practices, patterns, and implementation. Use when developers mention: (1) Swift configuration or environment variables, (2) swift-log or logging patterns, (3) OpenTelemetry or swift-otel, (4) Swift Testing framework or @Test macro, (5) Foundation avoidance or cross-platform Swift, (6) platform-specific code organization, (7) Span or memory safety patterns, (8) non-copyable types (~Copyable), (9) API design patterns or access modifiers.
software-backend
vasilyu1983Production-grade backend service development across Node.js (Express/Fastify/NestJS/Hono), Bun, Python (FastAPI), Go, and Rust (Axum), with PostgreSQL and common ORMs (Prisma/Drizzle/SQLAlchemy/GORM/SeaORM). Use for REST/GraphQL/tRPC APIs, auth (OIDC/OAuth), caching, background jobs, observability (OpenTelemetry), testing, deployment readiness, and zero-trust defaults.
qa-observability
vasilyu1983Implement and validate observability for quality engineering: OpenTelemetry logs/metrics/traces, W3C trace context propagation, SLI/SLO + error-budget release gates, burn-rate alerting, trace-based debugging for test failures, sampling/cardinality/cost controls, profiling (CPU/memory/continuous), synthetic/RUM signals, and APM stack integrations (Prometheus/Grafana/Jaeger/Tempo/Loki/Datadog/New Relic).
distributed-tracing
melodic-softwareUse when implementing distributed tracing, understanding trace propagation, or debugging cross-service issues. Covers OpenTelemetry, span context, and trace correlation.
observability
omer-metinExpert at making systems observable and debuggable. Covers structured logging, metrics collection, distributed tracing, error tracking, and alerting. Knows how to find the needle in the haystack when production breaks at 3 AM. Use when "observability, logging, metrics, tracing, monitoring, error tracking, Sentry, Datadog, OpenTelemetry, debugging production, observability, logging, metrics, tracing, monitoring, sentry, prometheus, opentelemetry" mentioned.
logging-observability
cosmixComprehensive logging and observability patterns for production systems including structured logging, distributed tracing, metrics collection, log aggregation, and alerting. Triggers for this skill - log, logging, logs, trace, tracing, traces, metrics, observability, OpenTelemetry, OTEL, Jaeger, Zipkin, structured logging, log level, debug, info, warn, error, fatal, correlation ID, span, spans, ELK, Elasticsearch, Loki, Datadog, Prometheus, Grafana, distributed tracing, log aggregation, alerting, monitoring, JSON logs, telemetry.
observability-architecture
majiayu000LiteLLM-RS Observability Architecture. Covers Prometheus metrics, OpenTelemetry tracing, structured logging, health checks, and alerting integration.
observability
Implement observability solutions. Use when setting up monitoring, logging, or tracing. Covers OpenTelemetry, metrics, and alerting.
observability-guidelines
MindrallyObservability guidelines for distributed systems using OpenTelemetry, tracing, metrics, and structured logging
Sentry Skill
julianobarbosaComprehensive skill for Sentry error monitoring and performance tracking. Use when Claude needs to (1) configure Sentry SDKs for error tracking and performance monitoring, (2) manage releases, source maps, and debug symbols via CLI, (3) query issues, events, and metrics via API, (4) set up alerting and notification rules, (5) configure sampling strategies and quota management, (6) deploy self-hosted Sentry instances, (7) integrate with OpenTelemetry for distributed tracing, or perform any other Sentry automation task.
monitoring-observability
TibsfoxProvides monitoring and observability best practices covering the three pillars (logs, metrics, traces), OpenTelemetry instrumentation, Prometheus/Grafana dashboards, SLO-based alerting, and APM strategies. Use when setting up monitoring, observability, prometheus, grafana, opentelemetry, alerting, tracing, logging, metrics, dashboards, SLOs, or APM.
tempo
julianobarbosaGuide for implementing Grafana Tempo - a high-scale distributed tracing backend for OpenTelemetry traces. Use when configuring Tempo deployments, setting up storage backends (S3, Azure Blob, GCS), writing TraceQL queries, deploying via Helm, understanding trace structure, or troubleshooting Tempo issues on Kubernetes.
loki
julianobarbosaGuide for implementing Grafana Loki - a horizontally scalable, highly available log aggregation system. Use when configuring Loki deployments, setting up storage backends (S3, Azure Blob, GCS), writing LogQL queries, configuring retention and compaction, deploying via Helm, integrating with OpenTelemetry, or troubleshooting Loki issues on Kubernetes.
OpenTelemetry (OTEL)
julianobarbosaImplement OpenTelemetry (OTEL) observability - Collector configuration, Kubernetes deployment, traces/metrics/logs pipelines, instrumentation, and troubleshooting. Use when working with OTEL Collector, telemetry pipelines, observability infrastructure, or Kubernetes monitoring.
performance-engineer
herdiansahExpert performance engineer specializing in modern observability, application optimization, and scalable system performance. Masters OpenTelemetry, distributed tracing, load testing, multi-tier caching, Core Web Vitals, and performance monitoring. Handles end-to-end optimization, real user monitoring, and scalability patterns. Use PROACTIVELY for performance optimization, observability, or scalability challenges.
add-telemetry
wiggitywhitneyAI-powered OpenTelemetry instrumentation tool - automatically adds telemetry to uninstrumented code
monitoring-observability
travisjneumanOpenTelemetry, structured logging, distributed tracing, alerting, and dashboards
golang-observability-opentelemetry
bobmatnycInstrumenting Go applications with OpenTelemetry for distributed tracing, Prometheus for metrics, and structured logging with slog
OpenTelemetry
bobmatnycOpenTelemetry observability patterns: traces, metrics, logs, context propagation, OTLP export, Collector pipelines, and troubleshooting
observability-setup
naviktSetting up Prometheus metrics, OpenTelemetry tracing, and health endpoints for Nais applications
deploy-otel
stacklokDeploy the OpenTelemetry observability stack (Prometheus, Grafana, OTEL Collector) to a Kind cluster for testing registry server telemetry. Use when you need to set up monitoring, metrics collection, or observability infrastructure.
monitoring-observability
williamzujkowskiMaster monitoring and observability for distributed systems
observability-setup
patricio0312revImplements comprehensive observability with OpenTelemetry tracing, Prometheus metrics, and structured logging. Includes instrumentation plans, sample dashboards, and alert candidates. Use for "observability", "monitoring", "tracing", or "metrics".