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。
Designs professional Apache Superset dashboards using optimized layouts, intuitive navigation patterns, and data storytelling principles for financial and operational monitoring.
Analyzes Breenix kernel logs to debug system failures, trace execution flows, and verify kernel test results using specialized search patterns.
Analyzes and optimizes the Breenix kernel boot process from bootloader handoff to the kernel ready state.
Implements and tests LLM provider and agentic framework integrations for the Braintrust Ruby SDK using standardized tracing patterns and TDD workflows.
Automates the creation of comprehensive Application Performance Monitoring (APM) dashboards to visualize health, performance, and user experience metrics.
Automates the implementation of distributed tracing and OpenTelemetry instrumentation across microservices to provide full-stack observability.
Automates the detection of performance bottlenecks and regressions within CI/CD pipelines by analyzing response times and throughput metrics.
Identifies and resolves memory leaks by analyzing code patterns and providing actionable optimization recommendations.
Defines and tracks Service Level Indicators (SLIs) and Objectives (SLOs) to ensure robust service reliability and performance.
Monitors blockchain mempools for pending transactions, MEV opportunities, and real-time on-chain data insights.
Generates professional Application Performance Monitoring (APM) dashboards for platforms like Grafana and Datadog to visualize system health and performance.
Monitors and optimizes application resource consumption including CPU, memory, and database connections to improve performance and reduce costs.
Automatically identifies performance regressions and latency spikes within CI/CD pipelines through metric analysis and baseline comparisons.
Analyzes codebases to identify memory leaks, optimize resource usage, and resolve performance bottlenecks through automated pattern detection.
Identifies and resolves performance constraints across CPU, memory, I/O, and database layers to optimize application responsiveness.
Provides comprehensive, prioritized recommendations to identify bottlenecks and improve the speed of full-stack software applications.
Integrates Claude Code with Braintrust to evaluate, log, and monitor LLM application performance using SQL and automated scripts.
Automates the creation of intelligent performance monitoring alerts and comprehensive runbooks to ensure system reliability.
Implements and optimizes Real User Monitoring to capture actual performance data and Core Web Vitals.
Diagnoses and resolves application performance issues across CPU, memory, I/O, and database layers to optimize resource efficiency.
Analyzes application code to identify CPU hotspots, algorithmic inefficiencies, and blocking operations for optimal processor utilization.
Implements and configures distributed tracing using Jaeger and Tempo to visualize request flows and identify performance bottlenecks across microservices.
Tracks multi-chain cryptocurrency holdings with real-time valuations and advanced on-chain performance metrics.
Analyzes and optimizes system performance by identifying throughput bottlenecks and evaluating scaling strategies.
Tracks and analyzes cryptocurrency futures, options, and perpetual swap positions with real-time P&L calculations.
Simulates flash loan arbitrage strategies and calculates profitability across various DeFi protocols and liquidity pools.
Automates the deployment and configuration of centralized logging solutions like ELK, Loki, and Splunk for production-ready environments.
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.
Analyzes application resource usage and execution paths to identify performance bottlenecks and recommend specific code-level optimizations.
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