发现analytics & monitoring类别的 Claude 技能。浏览 47 个技能,找到适合您 AI 工作流程的完美功能。
Automates data freshness checks and schema drift detection to ensure data reliability and observability.
Optimizes command verification caching and system performance to ensure high-speed, resource-efficient documentation workflows.
Performs automated network discovery, generates comprehensive topology documentation, and conducts systematic root cause analysis for infrastructure issues.
Implements robust error handling and monitoring solutions to ensure application stability and superior user experiences.
Implements critical console logging and error visibility to ensure AI agents can observe application state and self-correct.
Analyzes and optimizes parallel development workflows to maximize execution speed and minimize operational costs.
Automates the entire enterprise report lifecycle from scheduling and data refreshes to multi-channel distribution and governance.
Monitors and analyzes real-time backend and frontend logs during ScreenGraph end-to-end testing and agent execution.
Analyzes and explains X’s algorithmic A/B testing infrastructure, performance metrics, and feature deployment strategies.
Measures, analyzes, and tracks code performance through systematic benchmarking and automated regression detection.
Optimizes Go application performance through advanced profiling, benchmarking, and memory management strategies.
Automates the formatting and uploading of agent transcripts and evaluation logs to the Docent analysis platform.
Implements distributed tracing with Jaeger and Tempo to track requests across microservices and optimize system performance.
Optimizes marketing performance by defining SMART goals, tracking key conversions, and providing actionable data-driven insights.
Builds interactive dashboards for energy well performance, real-time monitoring, and economic forecasting.
Optimizes backend application performance using advanced caching, load balancing, and database scaling strategies.
Simplifies data visualization in Svelte by managing scales, coordinate systems, and responsive dimensions across SVG, Canvas, and HTML contexts.
Enhances the Claude Code terminal experience with AI-generated session context, real-time tool tracking, and Starship-integrated status lines.
Automates the creation of proactive performance monitoring rules, escalation policies, and diagnostic runbooks for system observability.
Monitors database health and transaction performance with automated alerting and comprehensive observability guidance.
Scans cryptocurrency markets for significant price volatility, volume anomalies, and on-chain trends to identify trading opportunities.
Monitors and analyzes application latency across APIs, databases, and services to identify and resolve performance bottlenecks.
Categorizes intervention urgency and applies standardized response protocols for AI governance and incident management.
Establishes and monitors service level agreements, indicators, and objectives to maintain high system reliability and performance.
Monitors cross-chain asset transfers, bridge security, and liquidity across multiple blockchain networks to ensure safe and efficient interoperability.
Identifies and resolves software performance bottlenecks through systematic profiling, measurement, and targeted code optimization across the full stack.
Performs automated, discovery-driven health assessments and troubleshooting for Kubernetes clusters and installed operators.
Troubleshoots and optimizes ElevenLabs conversational AI agents and Twilio call integrations through systematic diagnostic procedures.
Implements robust React Error Boundaries and user-friendly fallback interfaces to prevent application crashes and improve error monitoring.
Provides real-time visualization and monitoring of multi-agent Claude Code sessions through a high-performance web dashboard.
Scroll for more results...