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。
Optimizes Windsurf API usage and monthly expenses through smart tier selection, request sampling, and budget monitoring.
Monitors AWS resources and applications using CloudWatch metrics, logs, alarms, and dashboards.
Streamlines the installation and configuration of the @dotcms/analytics library in Next.js and React projects to enable content-aware event tracking.
Integrates Sentry with full-stack observability tools to correlate logs, metrics, and traces for unified error monitoring.
Diagnoses and resolves complex Sentry SDK issues, missing events, and source map errors using advanced debugging techniques.
Deploys and configures comprehensive monitoring stacks like Prometheus, Grafana, and Datadog for production-ready observability.
Monitors and analyzes cryptocurrency futures, options, and perpetual swap positions with automated P&L calculations.
Standardizes Sentry integration for production environments through comprehensive configuration and deployment checklists.
Implements comprehensive monitoring, metrics, and distributed tracing for Vercel-hosted applications and integrations.
Diagnoses and resolves Sentry integration issues, configuration errors, and missing event delivery problems.
Configures PII scrubbing, GDPR compliance, and sensitive data handling policies for Sentry error monitoring projects.
Calculates Application Performance Index (Apdex) scores to evaluate user satisfaction based on response time metrics.
Monitors blockchain mempools to detect pending transactions, identify front-running risks, and discover MEV opportunities.
Analyzes application resource consumption and execution paths to identify bottlenecks and optimize system performance.
Optimizes application performance through AI-driven bottleneck analysis and automated profiling data interpretation.
Implements industry-leading error handling and observability patterns using the Sentry SDK for TypeScript and Python applications.
Generates comprehensive diagnostic reports and debug information for Sentry SDK implementations and support tickets.
Standardizes Sentry observability patterns and enterprise-grade monitoring architecture for distributed applications.
Automates the setup and configuration of Sentry SDKs to enable robust error tracking and observability in your applications.
Enforces organizational standards, compliance rules, and governance policies for Sentry error monitoring.
Optimizes Sentry event volumes and reduces infrastructure costs through strategic sampling and filtering configurations.
Implements robust error tracking patterns to ensure application stability and data integrity when Sentry integrations fail.
Validates Sentry error tracking by triggering a test event and verifying dashboard connectivity.
Optimizes Sentry event volume and manages rate limits to control costs and reduce observability noise.
Provides automated guidance and remediation steps for responding to Supabase outages, errors, and performance issues.
Analyzes and optimizes application network request patterns to reduce latency and improve communication efficiency.
Monitors and optimizes application resource consumption to improve performance and reduce infrastructure costs.
Monitors real-time database transactions to detect performance bottlenecks, lock contention, and transaction anomalies.
Analyzes network request patterns to identify latency bottlenecks and implement performance optimizations like request batching and connection pooling.
Analyzes application log files to identify performance bottlenecks, recurring error patterns, and resource usage anomalies.
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