monitoring▌

Implement comprehensive database monitoring for performance analysis, health checks, and proactive alerting. Covers metrics collection, analysis, and troubleshooting strategies.

This skill provides comprehensive guidance for monitoring and observability workflows including metrics design, log aggregation, distributed tracing, alerting strategies, SLO/SLA management, and tool selection.

Guides building a holistic SEO data analysis system. Covers four core metrics (indexing, traffic, keywords, backlinks), benchmark setup, article database, tool selection, traffic diversification, penalty recovery, and work document management.

Comprehensive skill for security monitoring, threat detection, and incident response automation.

用于基于 Tushare 的 A 股市场监测，重点支持：

Track web page changes, detect availability issues, and preserve content with multiple monitoring strategies. \n \n Supports four major monitoring services (Visualping, ChangeTower, Distill.io, UptimeRobot) with different strengths: visual change detection, compliance archiving, element-level tracking, and uptime monitoring \n Includes ready-to-use Python implementations for local page monitoring with hash-based change detection, element selectors, and automatic archiving \n Covers RSS feed gene

Automatically detect and configure Sentry monitoring for LLM calls, agents, and AI SDKs. \n \n Auto-detects installed AI packages (OpenAI, Anthropic, LangChain, Google GenAI, Vercel AI, Pydantic AI, and others) and enables appropriate integrations with zero manual registration in Python \n Requires tracing enabled ( tracesSampleRate > 0 ) and supports manual span instrumentation via gen_ai.* operation types for unsupported SDKs \n Captures model, token counts, and latency by default; prompt and

sentry-setup-ai-monitoring

OCI monitoring setup, alarm configuration, and troubleshooting for metrics, logs, and observability gaps. \n \n Covers metric namespace patterns, alarm threshold gotchas (sparse data handling, trigger delays), and missing data strategies across OCI services \n Provides decision trees for log collection troubleshooting, Service Connector setup, and IAM policy requirements \n Highlights critical anti-patterns: metric lag (10-15 minutes), dimension requirements, notification channel setup, and Clou

Comprehensive monitoring, logging, metrics, tracing, and performance testing implementation for production systems. \n \n Covers structured logging (Pino/JSON), Prometheus metrics (counters, histograms, gauges), and OpenTelemetry distributed tracing with span instrumentation \n Includes Prometheus alerting rule configuration, RED/USE dashboard design patterns, and health check endpoint setup \n Provides load testing with k6 and Artillery, application profiling for CPU/memory bottlenecks, and cap