sentry-observability
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monitoring-observability
Monitoring 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.
python-observability-patterns
Observability patterns for Python applications. Triggers on: logging, metrics, tracing, opentelemetry, prometheus, observability, monitoring, structlog, correlation id.
logging-observability
Comprehensive logging and observability patterns for production systems. Use when implementing structured logging, distributed tracing, metrics collection, or alerting. Triggers: logging, logs, observability, tracing, metrics, OpenTelemetry, correlation ID, spans, alerts, monitoring, JSON logs.
istio
Service mesh implementation with Istio for traffic management, security, and observability. Use when implementing mTLS, traffic routing, circuit breakers, or service-to-service communication. Triggers: istio, service mesh, virtualservice, destinationrule, gateway, mtls, sidecar, envoy, traffic management.
logging-observability
Guidelines for structured logging, distributed tracing, and debugging patterns across languages. Covers logging best practices, observability, security considerations, and performance analysis.
observable-gepa-migration
Migrate DSPy GEPA usage in DSPy from the original to gepa-observable. This makes it possible for teams to clearly review each iteration and the lineage to understand how their prompt is evolving. The repository offers a web dashboard for monitoring, but requires a custom GEPA fork that provides custom observers and LM call logging. Use when developers want to add observability to GEPA optimization.
axiom
Axiom observability platform for logs, events, and analytics via REST API
ln-627-observability-auditor
Observability audit worker (L3). Checks structured logging, health check endpoints, metrics collection, request tracing, log levels. Returns findings with severity, location, effort, recommendations.
logging-best-practices
Implement 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.
discover-observability
Automatically discover observability and monitoring skills when working with monitoring. Activates for observability development tasks.
instrumentation-planning
Plan what to measure in mobile apps. Use when starting observability, prioritizing instrumentation, or asking "what should I track?"
Observability-First Debugging
Systematic debugging methodology that eliminates guessing and speculation. Add instrumentation to gather specific data that fully explains the problem. Evidence before hypothesis. Observation before solution.
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