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。
Tracks and analyzes UI component usage across codebases to simplify deprecations, migrations, and library maintenance.
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.
Implements request flow visibility across microservices using OpenTelemetry, Jaeger, and Tempo to identify latency bottlenecks.
Builds comprehensive 3-5 year financial models and projections for early-stage startups using cohort-based revenue and expense tracking.
Provides a comprehensive framework for tracking, calculating, and optimizing key performance indicators across various startup business models.
Generates automated weekly logistics KPI reports from shipment and event data files.
Analyzes stock portfolios to provide performance insights, risk assessments, and actionable rebalancing suggestions.
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.
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.
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 Python application performance through advanced profiling, memory management, and efficient coding patterns.
Analyzes codebases to identify performance bottlenecks, algorithmic inefficiencies, and scalability concerns for optimal execution.
Enables comprehensive session tracing and sub-agent correlation via Braintrust for deep observability into agent workflows.
Generates and configures interactive analytics dashboards with flexible grid layouts and data-driven portlets for Drizzle Cube applications.
Configures standardized AnalysisConfig objects for complex query, funnel, and flow visualizations in Drizzle Cube applications.
Constructs semantic queries for Drizzle Cube applications including measures, dimensions, and complex time-series analysis.
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