By agentient
Logging, tracing, error tracking, alerting, and OpenTelemetry patterns
Designing effective alerts and runbooks for incident response. PROACTIVELY activate for: (1) Creating alerting rules, (2) Writing runbooks, (3) Reducing alert fatigue, (4) On-call escalation setup, (5) Incident response procedures. Triggers: "alerting", "runbook", "on-call", "pagerduty", "incident", "alert fatigue", "escalation", "playbook"
Sampling strategies for logs and traces to optimize costs while maintaining observability. PROACTIVELY activate for: (1) Configuring trace sampling, (2) Log volume reduction, (3) Head-based vs tail-based sampling, (4) Priority-based sampling, (5) Cost optimization. Triggers: "sampling", "trace sampling", "log sampling", "cost optimization", "head-based", "tail-based", "sample rate"
Unified JSON logging across Next.js, Python, and Firebase Functions using Pino and structlog. PROACTIVELY activate for: (1) Setting up structured logging, (2) Configuring Pino for Node.js, (3) Configuring structlog for Python, (4) Implementing PII redaction, (5) Log correlation with trace IDs. Triggers: "logging", "pino", "winston", "structlog", "logger", "console.log", "firebase functions logger", "setup-logging", "json logging"
W3C Trace Context propagation across service boundaries for distributed tracing. PROACTIVELY activate for: (1) Implementing trace context propagation, (2) Cross-service correlation, (3) Setting up traceparent headers, (4) Baggage propagation, (5) Multi-service debugging. Triggers: "distributed tracing", "trace context", "traceparent", "correlation", "span", "baggage", "propagation"
Sentry integration for error tracking across Next.js, Python, and Firebase. PROACTIVELY activate for: (1) Setting up Sentry SDK, (2) Configuring error boundaries, (3) Adding custom context to errors, (4) Source map configuration, (5) Release tracking. Triggers: "sentry", "error tracking", "error boundary", "exception monitoring", "crash reporting", "source maps"
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npx claudepluginhub agentient/vibekit --plugin observability-toolsModel Context Protocol (MCP) server development patterns
Frontend and backend performance optimization patterns
Multi-expert evaluation patterns for structured analysis, deliberation, and decision-making
Testing, code review, linting, and coverage analysis patterns
Research workflow tools: systematic interviewing, research brief design, and multi-source consolidation
Traceway skills: /tw:traceway debugs production issues through the traceway CLI, /tw:traceway-setup instruments a project to report to a Traceway instance.
Set up distributed tracing for microservices
Editorial "Observability & Monitoring" bundle for Claude Code from Antigravity Awesome Skills.
Observability engineering agents providing expertise in tracing, monitoring, and logging
OpenTelemetry skills and reference documentation for AI coding assistants
Skills, agents, and workflows for Honeycomb observability — query patterns, production investigations, SLOs, OpenTelemetry instrumentation, and Beeline migration. Designed to complement the Honeycomb MCP server.