logging-observability
Logging and observability best practices — structured logging, log levels, correlation IDs, metrics, tracing, and alerting. Reference when implementing logging or monitoring.
Logging and observability best practices — structured logging, log levels, correlation IDs, metrics, tracing, and alerting. Reference when implementing logging or monitoring.
Observability and monitoring with Prometheus metrics and Grafana dashboards
Migrate from mcamara/laravel-localization to goodcat/laravel-l10n.
Use when designing observability, testing, debugging, and operational control for messaging systems based on Enterprise Integration Patterns (Hohpe & Woolf). USE FOR: messaging observability, wire tap, control bus, message history, message store, monitoring messaging systems, testing message flows, debugging async systems DO NOT USE FOR: message routing (use message-routing), consumer patterns (use messaging-endpoints)
USE FOR: Writing concise, consistent guard clauses using CommunityToolkit.Diagnostics for argument validation, null checks, range checks, and string validation in constructors, methods, and factory methods. DO NOT USE FOR: Complex business rule validation (use FluentValidation or Peasy), user-facing form validation with error messages (use DataAnnotations), or replacing domain-level parsing/validation (use Parse Don't Validate pattern).
Use when designing security logging, monitoring, and incident detection capabilities. Covers SIEM architecture, audit trail requirements, security event correlation, and compliance logging for GDPR, PCI DSS, HIPAA, and SOX. USE FOR: SIEM, security logging, audit trails, security monitoring, incident detection, log aggregation, security event correlation, compliance logging, intrusion detection DO NOT USE FOR: application performance monitoring (use observability skills), general logging frameworks (use logging skills), incident response procedures (use secure-sdlc)
Kubernetes container orchestration with Helm, operators, and service mesh. Use for cluster management.
Prometheus monitoring and alerting with PromQL. Use for metrics collection.
Step-by-step guide for migrating from Honeycomb Beelines (End of Life) to OpenTelemetry instrumentation. Trigger phrases: "migrate from Beelines", "upgrade from Beeline to OpenTelemetry", "migrate to OTel", "replace Beelines", "Beeline end of life", "Beeline EOL", "switch from Beeline to OTel", "migrate Go Beeline", "migrate Python Beeline", "migrate Node Beeline", "migrate Java Beeline", "migrate Ruby Beeline", "W3C trace headers", "W3C propagation", "incremental migration to OpenTelemetry", or any request about migrating from Honeycomb Beelines to OpenTelemetry SDKs.
Provides guidance on OpenTelemetry SDK setup, custom instrumentation, and sending data to Honeycomb. Trigger phrases: "instrument my app", "add tracing", "set up OpenTelemetry", "configure OTel", "add custom spans", "add attributes to spans", "send traces to Honeycomb", "set up OTLP", "configure sampling", "add span events", "add span links", "set up tracing for [any language]", "configure the OTel Collector", or any request about OpenTelemetry SDK setup, custom instrumentation, or sending data to Honeycomb.
Design effective KPI dashboards with metrics selection, visualization best practices, and real-time monitoring patterns. Use when building business dashboards, selecting metrics, or designing data visualization layouts.
Implements reliability patterns including circuit breakers, retries, fallbacks, bulkheads, and SLO definitions. Provides failure mode analysis and incident response plans. Use for "SRE", "reliability", "resilience", or "failure handling".
Generate SLA/SLO/SLI monitoring configurations for reliability tracking and error budget management. Activates for SLO setup, reliability targets, and error budget configuration.
Expert knowledge base for Ericsson LTE/NR radio access network features, parameters, counters, and engineering guidelines. Contains 377 features with 6164 parameters, 4257 counters, and activation codes.
Create specialized infrastructure agent definitions for platform/service management (Grafana, Prometheus, Traefik, ERPNext, etc.). Use when the user requests creation of an agent for a specific technology platform or infrastructure component. This skill produces complete agent prompts with integrated research, SOPs, tool references, and handoff protocols following the Linear-First Agentic Workflow framework.
Enforces consistent structured logging with request correlation IDs, standardized log schema, middleware integration, and best practices. Use for "structured logging", "log standardization", "request tracing", or "log correlation".
Setup Sentry Metrics in any project. Use this when asked to add Sentry metrics, track custom metrics, setup counters/gauges/distributions, or instrument application performance metrics. Supports JavaScript, TypeScript, Python, React, Next.js, and Node.js.
Setup Sentry Logging in any project. Use this when asked to add Sentry logs, enable structured logging, setup console log capture, or integrate logging with Sentry. Supports JavaScript, TypeScript, Python, Ruby, React, Next.js, and other frameworks.
Setup Sentry Tracing (Performance Monitoring) in any project. Use this when asked to add performance monitoring, enable tracing, track transactions/spans, or instrument application performance. Supports JavaScript, TypeScript, Python, Ruby, React, Next.js, and Node.js.
Setup Sentry Logging in any project. Use this when asked to add Sentry logs, enable structured logging, setup console log capture, or integrate logging with Sentry. Supports JavaScript, TypeScript, Python, Ruby, React, Next.js, and other frameworks.
Setup Sentry Tracing (Performance Monitoring) in any project. Use this when asked to add performance monitoring, enable tracing, track transactions/spans, or instrument application performance. Supports JavaScript, TypeScript, Python, Ruby, React, Next.js, and Node.js.
Setup Sentry Metrics in any project. Use this when asked to add Sentry metrics, track custom metrics, setup counters/gauges/distributions, or instrument application performance metrics. Supports JavaScript, TypeScript, Python, React, Next.js, and Node.js.