Search Results for "observability"
langsmith-observability
★ 481LLM 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.
phoenix-observability
★ 481Open-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.
gcloud-usage
★ 275This skill should be used when user asks about "GCloud logs", "Cloud Logging queries", "Google Cloud metrics", "GCP observability", "trace analysis", or "debugging production issues on GCP".
observability-design
★ 135Monitoring strategies, distributed tracing, SLI/SLO design, and alerting patterns. Use when designing monitoring infrastructure, defining service level objectives, implementing distributed tracing, creating alert rules, building dashboards, or establishing incident response procedures. Covers the three pillars of observability and production readiness.
testability-scoring
★ 110AI-powered testability assessment using 10 principles of intrinsic testability with Playwright and optional Vibium integration. Evaluates web applications against Observability, Controllability, Algorithmic Simplicity, Transparency, Stability, Explainability, Unbugginess, Smallness, Decomposability, and Similarity. Use when assessing software testability, evaluating test readiness, identifying testability improvements, or generating testability reports.
debug-logging-assistant
★ 106Add purposeful debug logging to improve observability without changing behavior.
observability-first-debugging
★ 93Systematic debugging methodology that eliminates guessing and speculation. Add instrumentation to gather specific data that fully explains the problem. Evidence before hypothesis. Observation before solution.
go-practices
★ 83Go conventions for hexagonal architecture, project structure, error handling, testing, and observability. Use when writing Go services.
aws-strands-agents-agentcore
★ 65Use when working with AWS Strands Agents SDK or Amazon Bedrock AgentCore platform for building AI agents. Provides architecture guidance, implementation patterns, deployment strategies, observability, quality evaluations, multi-agent orchestration, and MCP server integration.
monitoring-observability
★ 49Implement comprehensive monitoring, logging, metrics, tracing, and alerting for production applications to ensure reliability and quick incident response. Use when setting up application monitoring, implementing structured logging, creating metrics and dashboards, setting up alerts, implementing distributed tracing, monitoring performance, tracking errors, or building observability into applications.
sre-monitoring-and-observability
★ 47Use when building comprehensive monitoring and observability systems.
discover-observability
★ 33Automatically discover observability and monitoring skills when working with monitoring. Activates for observability development tasks.
observability-monitoring
★ 26Comprehensive observability and monitoring skill covering Prometheus, Grafana, metrics collection, alerting, exporters, PromQL, and production monitoring patterns for distributed systems and cloud-native applications
dev-sre
★ 25Gate 2 of the development cycle. VALIDATES that observability was correctly implementedby developers. Does NOT implement observability code - only validates it.
correlation-tracing
★ 25Implement distributed tracing with correlation IDs, trace propagation, and span tracking across microservices. Use when debugging distributed systems, monitoring request flows, or implementing observability.
logging-best-practices
★ 25Implement structured logging with JSON formats, log levels (DEBUG, INFO, WARN, ERROR), contextual logging, PII handling, and centralized logging. Use for logging, observability, log levels, structured logs, or debugging.
prometheus-monitoring
★ 25Set up Prometheus monitoring for applications with custom metrics, scraping configurations, and service discovery. Use when implementing time-series metrics collection, monitoring applications, or building observability infrastructure.
service-mesh-implementation
★ 25Implement service mesh (Istio, Linkerd) for service-to-service communication, traffic management, security, and observability.
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