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。
Architects effective business performance dashboards using metric selection frameworks, visualization best practices, and real-time monitoring patterns.
Launches a terminal user interface (TUI) to monitor parallel Claude Code worker progress and status in real-time.
Manages Bazzite OS updates, system cleanup, logs, and performance diagnostics through AI-driven commands.
Monitors GPU performance, VRAM allocation, and inference metrics for Ollama models to optimize AI workloads.
Systematically diagnoses and resolves complex Laravel application errors using framework-specific troubleshooting patterns and tooling best practices.
Plans comprehensive observability strategies for web applications by prioritizing metrics, errors, and user performance signals.
Instruments web application API requests with distributed tracing and performance spans to monitor latency and reliability.
Instruments web applications to track user intent, funnel progress, and friction signals for deeper behavioral observability.
Implements automated performance testing and proactive monitoring using Lighthouse CI and Playwright to ensure consistent site speed and health.
Automates the startup and monitoring of Wasp development environments, including database orchestration and browser console integration.
Provides a comprehensive framework for tracking, calculating, and optimizing key performance indicators across various startup business models.
Manages A/B testing, feature flags, and data-driven hypothesis validation for Supabase and Expo applications.
Analyzes SaaS customer health, predicts churn risks, and identifies expansion opportunities using weighted scoring models and CLI-based reporting tools.
Implements the Sean Ellis 40% rule to measure product-market fit through targeted user sentiment analysis and segmentation.
Automates the discovery and synchronization of trading symbols between reinforcement learning models and monitoring dashboards.
Synchronizes internal trading states with live broker positions to eliminate data drift and ensure execution accuracy.
Standardizes the handling of trading signal data structured as parallel lists to prevent dashboard crashes and improve processing efficiency.
Analyzes SaaS customer health, predicts churn risks, and identifies expansion opportunities using weighted scoring models.
Analyzes sales pipelines, tracks forecast accuracy, and calculates GTM efficiency metrics to optimize SaaS revenue growth.
Identifies the root cause of system failures by systematically comparing the current failed state to a previous problem-free baseline.
Design professional KPI dashboards with optimized metrics selection, data visualization patterns, and real-time monitoring structures.
Define and implement Service Level Indicators (SLIs), Service Level Objectives (SLOs), and error budgets to maintain high service reliability.
Analyzes SaaS sales pipelines, tracks forecast accuracy with MAPE, and evaluates GTM efficiency metrics for revenue optimization.
Facilitates seamless on-call shift transitions with standardized templates and checklists for incident response and context transfer.
Creates and manages production-grade Grafana dashboards for real-time system observability and metric visualization.
Configures Prometheus for comprehensive metric collection, infrastructure monitoring, and alerting systems.
Implements comprehensive observability for service meshes using distributed tracing, metrics, and visualization patterns for Istio and Linkerd.
Optimizes SaaS revenue performance through automated pipeline analysis, forecast accuracy tracking, and GTM efficiency benchmarking.
Guides users through account creation, CLI installation, and initial agent configuration for Olakai observability.
Generates self-contained monitoring and observability roadmaps that persist across AI context resets.
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