analytics & monitoring Claude 스킬을 발견하세요. 47개의 스킬을 탐색하고 AI 워크플로우에 완벽한 기능을 찾아보세요.
Optimizes web application speed and user experience by auditing Core Web Vitals, reducing bundle sizes, and implementing advanced caching strategies.
Accelerates web applications by optimizing Core Web Vitals, reducing bundle sizes, and implementing advanced caching strategies.
Enforces a structured, statistically rigorous workflow for designing and validating A/B tests before implementation.
Implements expert-grade tracking patterns and data governance for Segment Customer Data Platform across web and server-side environments.
Implements best-practice Segment Customer Data Platform tracking, identity resolution, and data governance schemas across client and server environments.
Configures and manages Grafana monitoring alerts for Claude Code sessions, error rates, and resource utilization.
Identifies and resolves performance inefficiencies across CPU, memory, I/O, and database layers to optimize application speed.
Configures and optimizes pie and doughnut charts for drizzle-cube dashboards to visualize part-to-whole relationships and data proportions.
Configures dynamic KPI delta displays with trend indicators and period-over-period comparisons for Drizzle Cube dashboards.
Designs high-impact business dashboards using strategic metric selection, visualization best practices, and real-time monitoring patterns.
Transforms raw data and complex analytics into persuasive narratives and professional visualizations for high-impact presentations.
Standardizes incident response transitions through structured handoff templates and shift-change best practices for engineering teams.
Designs high-impact business dashboards with optimized metrics selection, visualization patterns, and real-time monitoring layouts.
Drafts effective, blameless postmortems with root cause analysis and actionable follow-up items to improve system reliability.
Provides a comprehensive guide and calculation logic for tracking key performance indicators across SaaS, marketplace, and consumer business models.
Compares video files to generate interactive HTML reports with visual comparisons and objective quality metrics like PSNR and SSIM.
Generates structured incident response runbooks with step-by-step procedures, escalation matrices, and recovery actions for production environments.
Implements end-to-end request tracking across microservices using Jaeger and Tempo to identify and resolve performance bottlenecks.
Configures Prometheus for comprehensive infrastructure and application metric collection, alerting, and observability.
Defines and implements Service Level Indicators (SLIs) and Service Level Objectives (SLOs) to measure and maintain system reliability.
Configures markdown content portlets within drizzle-cube dashboards to provide static text, documentation, and formatted headers.
Analyzes conversation history to extract behavioral signals, identify recurring patterns, and synthesize actionable insights.
Manages healthcare indicators, dbt model generation, and data anonymization workflows within the Engage Analytics ecosystem.
Optimizes Python application performance through advanced profiling, memory management, and modern Python 3.13 features.
Implements unified, machine-readable JSON logging across Next.js, Python, and Firebase Functions for enhanced observability.
Standardizes machine-readable JSON logging across Node.js, Python, and Firebase environments to improve system observability.
Defines and monitors Service Level Objectives (SLOs) and error budgets for serverless application reliability.
Instruments Python backend services with OpenTelemetry for comprehensive distributed tracing and performance monitoring.
Implements comprehensive OpenTelemetry tracing and observability for Python-based backend services.
Implements end-to-end distributed tracing for Next.js 14+ applications using OpenTelemetry standards.
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