发现 tools monitoring 相关 Skills，比较来源仓库和用途，查看适合你工作流的技能说明。
Automatically detect performance regressions in CI/CD pipelines by comparing metrics against baselines. Use when validating builds or analyzing performance trends. Trigger with phrases like "detect performance...
Analyze application logs for performance insights and issue detection including slow requests, error patterns, and resource usage. Use when troubleshooting performance issues or debugging errors. Trigger with p...
Use when you need to work with monitoring and observability. This skill provides health monitoring and alerting with comprehensive guidance and automation. Trigger with phrases like "monitor system health", "se...
Implement Real User Monitoring (RUM) to capture actual user performance data including Core Web Vitals and page load times. Use when setting up user experience monitoring or tracking custom performance events....
Setup synthetic monitoring for proactive performance tracking including uptime checks, transaction monitoring, and API health. Use when implementing availability monitoring or tracking critical user journeys. T...
This skill should be used when the user asks to "/gobby-metrics", "tool metrics", "usage stats", "performance report". View tool usage metrics, performance statistics, and identify failing tools.
Generate interactive HTML dashboards and visualizations from LimaCharlie data using Jinja2 templates and D3.js charts. Creates professional, self-contained HTML reports with pie charts, bar charts, line graphs,...
Customize and test Grok parsing for USP, Cloud Sensor, and External adapters. Helps generate parsing rules from sample logs, validate against test data, and deploy configurations. Use when setting up new log so...
Deploy a temporary LimaCharlie Adapter on the local Linux or Mac OS host for testing log ingestion. Downloads the adapter, auto-detects log sources, and streams them to your LimaCharlie organization.
Expert guide for analyzing application logs including log searching, pattern detection, error tracking, and debugging. Use when investigating issues, tracking errors, or understanding application behavior.
Expert guide for setting up monitoring dashboards, alerting, metrics collection, and observability. Use when implementing application monitoring, setting up alerts, or building dashboards.
Expert guide for error handling, logging, monitoring, and debugging. Use when implementing error boundaries, logging systems, or integrating monitoring tools like Sentry.
The format for guidelines documents for Plexus scorecard scores and the validation tool.
Sentry error tracking and performance monitoring for real-time visibility into application errors, performance issues, and release health
Datadog monitoring, APM, logs, and infrastructure observability
Grafana dashboard management, visualization, and alerting
Prometheus metrics querying and alerting
Google Cloud observability - logging, monitoring, tracing
UTF-8 file logging with automatic date-based filenames and thread-safe operations for RocsMiddleware services
Comprehensive metrics dashboard strategy including North Star Metric definition, AARRR Pirate Metrics framework, product engagement tracking, 5 role-specific dashboards, alert configuration, data infrastructure...
Set up centralized logging with ELK, Loki, or Splunk for log management
Build metrics collection pipelines using Prometheus, Grafana, and custom exporters
Configure distributed tracing with Jaeger, Zipkin, or Datadog for microservices observability
Generate SLA/SLO/SLI monitoring configurations for reliability tracking and error budget management. Activates for SLO setup, reliability targets, and error budget configuration.
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库，同一仓库的多个技能可能共享相同数值；它反映仓库关注度，不代表单个技能的安装量或质量评分。