distributed-tracing
Implement distributed tracing with Jaeger and Tempo to track requests across microservices and identify performance bottlenecks. Use when debugging microservices, analyzing request flows, or implementing observability for distributed systems.
python-observability
Python observability patterns including structured logging, metrics, and distributed tracing. Use when adding logging, implementing metrics collection, setting up tracing, or debugging production systems.
service-mesh-observability
Implement comprehensive observability for service meshes including distributed tracing, metrics, and visualization. Use when setting up mesh monitoring, debugging latency issues, or implementing SLOs for service communication.
phoenix-observability
Open-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.
pyvene-interventions
Provides guidance for performing causal interventions on PyTorch models using pyvene's declarative intervention framework. Use when conducting causal tracing, activation patching, interchange intervention training, or testing causal hypotheses about model behavior.
langsmith-observability
LLM observability platform for tracing, evaluation, and monitoring. Use when debugging LLM applications, evaluating model outputs against datasets, monitoring production systems, or building systematic testing pipelines for AI applications.
datadog-cli
Datadog CLI for searching logs, querying metrics, tracing requests, and managing dashboards. Use this when debugging production issues or working with Datadog observability.
langfuse
Expert in Langfuse - the open-source LLM observability platform. Covers tracing, prompt management, evaluation, datasets, and integration with LangChain, LlamaIndex, and OpenAI. Essential for debugging, monitoring, and improving LLM applications in production. Use when: langfuse, llm observability, llm tracing, prompt management, llm evaluation.
distributed-debugging-debug-trace
You are a debugging expert specializing in setting up comprehensive debugging environments, distributed tracing, and diagnostic tools. Configure debugging workflows, implement tracing solutions, an...
distributed-tracing
Implement distributed tracing with Jaeger and Tempo to track requests across microservices and identify performance bottlenecks. Use when debugging microservices, analyzing request flows, or implem...
service-mesh-observability
Implement comprehensive observability for service meshes including distributed tracing, metrics, and visualization. Use when setting up mesh monitoring, debugging latency issues, or implementing SL...
observability-engineer
Build production-ready monitoring, logging, and tracing systems. Implements comprehensive observability strategies, SLI/SLO management, and incident response workflows.
observability-monitoring-monitor-setup
You are a monitoring and observability expert specializing in implementing comprehensive monitoring solutions. Set up metrics collection, distributed tracing, log aggregation, and create insightful da
phoenix-tracing
OpenInference semantic conventions and instrumentation for Phoenix AI observability. Use when implementing LLM tracing, creating custom spans, or deploying to production.
monitoring-expert
Use when setting up monitoring systems, logging, metrics, tracing, or alerting. Invoke for dashboards, Prometheus/Grafana, load testing, profiling, capacity planning.
microservices-architect
Use when designing distributed systems, decomposing monoliths, or implementing microservices patterns. Invoke for service boundaries, DDD, saga patterns, event sourcing, service mesh, distributed tracing.
braintrust-tracing
Braintrust tracing for Claude Code - hook architecture, sub-agent correlation, debugging
trulens-instrumentation
Instrument LLM apps with TruLens OTEL-based tracing - from setup to debugging and optimization
Root Cause Tracing
Systematically trace bugs backward through call stack to find original trigger
azure-observability
Azure Observability Services including Azure Monitor, Application Insights, Log Analytics, Alerts, and Workbooks. Provides metrics, APM, distributed tracing, KQL queries, and interactive reports.
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-ts
Instrument 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.
evernote-observability
Implement observability for Evernote integrations. Use when setting up monitoring, logging, tracing, or alerting for Evernote applications. Trigger with phrases like "evernote monitoring", "evernote logging", "evernote metrics", "evernote observability".
Instantly Observability
Set up comprehensive observability for Instantly integrations with metrics, traces, and alerts. Use when implementing monitoring for Instantly operations, setting up dashboards, or configuring alerting for Instantly integration health. Trigger with phrases like "instantly monitoring", "instantly metrics", "instantly observability", "monitor instantly", "instantly alerts", "instantly tracing".
sentry-performance-tuning
Optimize Sentry performance monitoring configuration. Use when tuning sample rates, reducing overhead, or improving performance data quality. Trigger with phrases like "sentry performance optimize", "tune sentry tracing", "sentry overhead", "improve sentry performance".
langfuse-install-auth
Install and configure Langfuse SDK authentication for LLM observability. Use when setting up a new Langfuse integration, configuring API keys, or initializing Langfuse tracing in your project. Trigger with phrases like "install langfuse", "setup langfuse", "langfuse auth", "configure langfuse API key", "langfuse tracing setup".
documenso-observability
Implement monitoring, logging, and tracing for Documenso integrations. Use when setting up observability, implementing metrics collection, or debugging production issues. Trigger with phrases like "documenso monitoring", "documenso metrics", "documenso logging", "documenso tracing", "documenso observability".
lindy-observability
Implement observability for Lindy AI integrations. Use when setting up monitoring, logging, tracing, or building dashboards for Lindy operations. Trigger with phrases like "lindy monitoring", "lindy observability", "lindy metrics", "lindy logging", "lindy tracing".
sentry-performance-tracing
Execute set up performance monitoring and distributed tracing with Sentry. Use when implementing performance tracking, tracing requests, or monitoring application performance. Trigger with phrases like "sentry performance", "sentry tracing", "sentry APM", "monitor performance sentry".
langfuse-hello-world
Create a minimal working Langfuse trace example. Use when starting a new Langfuse integration, testing your setup, or learning basic Langfuse tracing patterns. Trigger with phrases like "langfuse hello world", "langfuse example", "langfuse quick start", "first langfuse trace", "simple langfuse code".
apollo-observability
Set up Apollo.io monitoring and observability. Use when implementing logging, metrics, tracing, and alerting for Apollo integrations. Trigger with phrases like "apollo monitoring", "apollo metrics", "apollo observability", "apollo logging", "apollo alerts".
posthog-observability
Set up comprehensive observability for PostHog integrations with metrics, traces, and alerts. Use when implementing monitoring for PostHog operations, setting up dashboards, or configuring alerting for PostHog integration health. Trigger with phrases like "posthog monitoring", "posthog metrics", "posthog observability", "monitor posthog", "posthog alerts", "posthog tracing".
guidewire-observability
Implement comprehensive observability for Guidewire InsuranceSuite including logging, metrics, tracing, and alerting. Trigger with phrases like "guidewire monitoring", "logging guidewire", "metrics", "observability", "alerting", "dashboards guidewire".
supabase-observability
Execute set up comprehensive observability for Supabase integrations with metrics, traces, and alerts. Use when implementing monitoring for Supabase operations, setting up dashboards, or configuring alerting for Supabase integration health. Trigger with phrases like "supabase monitoring", "supabase metrics", "supabase observability", "monitor supabase", "supabase alerts", "supabase tracing".
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'.
mistral-observability
Set up comprehensive observability for Mistral AI integrations with metrics, traces, and alerts. Use when implementing monitoring for Mistral AI operations, setting up dashboards, or configuring alerting for Mistral AI integration health. Trigger with phrases like "mistral monitoring", "mistral metrics", "mistral observability", "monitor mistral", "mistral alerts", "mistral tracing".
langfuse-performance-tuning
Optimize Langfuse tracing performance for high-throughput applications. Use when experiencing latency issues, optimizing trace overhead, or scaling Langfuse for production workloads. Trigger with phrases like "langfuse performance", "optimize langfuse", "langfuse latency", "langfuse overhead", "langfuse slow".
langfuse-sdk-patterns
Langfuse SDK best practices, patterns, and idiomatic usage. Use when learning Langfuse SDK patterns, implementing proper tracing, or following best practices for LLM observability. Trigger with phrases like "langfuse patterns", "langfuse best practices", "langfuse SDK guide", "how to use langfuse", "langfuse idioms".
coderabbit-observability
Set up comprehensive observability for CodeRabbit integrations with metrics, traces, and alerts. Use when implementing monitoring for CodeRabbit operations, setting up dashboards, or configuring alerting for CodeRabbit integration health. Trigger with phrases like "coderabbit monitoring", "coderabbit metrics", "coderabbit observability", "monitor coderabbit", "coderabbit alerts", "coderabbit tracing".
lokalise-observability
Set up comprehensive observability for Lokalise integrations with metrics, traces, and alerts. Use when implementing monitoring for Lokalise operations, setting up dashboards, or configuring alerting for Lokalise integration health. Trigger with phrases like "lokalise monitoring", "lokalise metrics", "lokalise observability", "monitor lokalise", "lokalise alerts", "lokalise tracing".
vercel-observability
Execute set up comprehensive observability for Vercel integrations with metrics, traces, and alerts. Use when implementing monitoring for Vercel operations, setting up dashboards, or configuring alerting for Vercel integration health. Trigger with phrases like "vercel monitoring", "vercel metrics", "vercel observability", "monitor vercel", "vercel alerts", "vercel tracing".
windsurf-observability
Set up comprehensive observability for Windsurf integrations with metrics, traces, and alerts. Use when implementing monitoring for Windsurf operations, setting up dashboards, or configuring alerting for Windsurf integration health. Trigger with phrases like "windsurf monitoring", "windsurf metrics", "windsurf observability", "monitor windsurf", "windsurf alerts", "windsurf tracing".
perplexity-observability
Set up comprehensive observability for Perplexity integrations with metrics, traces, and alerts. Use when implementing monitoring for Perplexity operations, setting up dashboards, or configuring alerting for Perplexity integration health. Trigger with phrases like "perplexity monitoring", "perplexity metrics", "perplexity observability", "monitor perplexity", "perplexity alerts", "perplexity tracing".
juicebox-observability
Set up Juicebox monitoring and observability. Use when implementing logging, metrics, tracing, or alerting for Juicebox integrations. Trigger with phrases like "juicebox monitoring", "juicebox metrics", "juicebox logging", "juicebox observability".
langfuse-reference-architecture
Production-grade Langfuse architecture patterns and best practices. Use when designing LLM observability infrastructure, planning Langfuse deployment, or implementing enterprise-grade tracing architecture. Trigger with phrases like "langfuse architecture", "langfuse design", "langfuse infrastructure", "langfuse enterprise", "langfuse at scale".
groq-observability
Set up comprehensive observability for Groq integrations with metrics, traces, and alerts. Use when implementing monitoring for Groq operations, setting up dashboards, or configuring alerting for Groq integration health. Trigger with phrases like "groq monitoring", "groq metrics", "groq observability", "monitor groq", "groq alerts", "groq tracing".
maintainx-observability
Implement comprehensive observability for MaintainX integrations. Use when setting up monitoring, logging, tracing, and alerting for MaintainX API integrations. Trigger with phrases like "maintainx monitoring", "maintainx logging", "maintainx metrics", "maintainx observability", "maintainx alerts".