Descubre Habilidades de Claude para analytics & monitoring. Explora 47 habilidades y encuentra las capacidades perfectas para tus flujos de trabajo de IA.
Analyzes Claude Code session data to track token usage, project history, and estimated API costs.
Tracks and optimizes application response times across API endpoints, database queries, and service calls to resolve performance bottlenecks.
Implements Real User Monitoring to capture and analyze Core Web Vitals and actual user performance data.
Tracks and analyzes cryptocurrency futures, options, and perpetual swap positions with real-time P&L calculations.
Tracks multi-chain cryptocurrency holdings with real-time valuations and advanced on-chain performance metrics.
Simulates flash loan arbitrage strategies and calculates profitability across various DeFi protocols and liquidity pools.
Analyzes application code to identify CPU hotspots, algorithmic inefficiencies, and blocking operations for optimal processor utilization.
Implements and optimizes Real User Monitoring to capture actual performance data and Core Web Vitals.
Automates the creation of intelligent performance monitoring alerts and comprehensive runbooks to ensure system reliability.
Identifies and resolves performance constraints across CPU, memory, I/O, and database layers to optimize application responsiveness.
Analyzes and optimizes system performance by identifying throughput bottlenecks and evaluating scaling strategies.
Generates professional Application Performance Monitoring (APM) dashboards for platforms like Grafana and Datadog to visualize system health and performance.
Defines and tracks Service Level Indicators (SLIs) and Objectives (SLOs) to ensure robust service reliability and performance.
Automates the creation of comprehensive Application Performance Monitoring (APM) dashboards to visualize health, performance, and user experience metrics.
Automates the detection of performance bottlenecks and regressions within CI/CD pipelines by analyzing response times and throughput metrics.
Monitors and optimizes application resource consumption including CPU, memory, and database connections to improve performance and reduce costs.
Provides comprehensive, prioritized recommendations to identify bottlenecks and improve the speed of full-stack software applications.
Builds real-time API monitoring dashboards and implements comprehensive observability metrics and health checks.
Identifies and reports application performance degradations within CI/CD pipelines by analyzing metrics against historical baselines.
Monitors and analyzes new cryptocurrency token launches, IDOs, and on-chain metrics to provide real-time market insights and risk assessments.
Automates the collection and visualization of performance metrics across compute, storage, network, and database layers.
Monitors and analyzes CPU usage patterns to identify performance bottlenecks and optimize algorithmic complexity.
Analyzes system performance metrics to identify architectural bottlenecks and optimize request and data processing throughput.
Monitors PostgreSQL and MySQL databases in real-time to detect performance degradation, resource exhaustion, and replication issues.
Analyzes application performance metrics like CPU usage and memory consumption to identify and resolve code-level bottlenecks.
Automates the collection of performance metrics across all infrastructure layers to enable real-time health monitoring and capacity planning.
Automates the implementation of end-to-end request visibility and observability across microservices architectures.
Analyzes cryptocurrency options flow and derivatives data to uncover institutional positioning and market sentiment.
Configures proactive performance tracking, uptime checks, and transaction monitoring for applications and APIs.
Deploys and configures comprehensive observability stacks including Prometheus, Grafana, and Datadog for production environments.
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