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。
Design and implement effective business intelligence dashboards with optimized metric selection, visualization layouts, and real-time monitoring patterns.
Generates blameless postmortem reports and root cause analyses to improve incident response and organizational learning.
Monitors and analyzes database transactions to detect performance bottlenecks, lock contention, and rollback anomalies in real-time.
Analyzes and resolves application bottlenecks across the full stack to improve load times, query speeds, and overall responsiveness.
Implements end-to-end monitoring, distributed tracing, and performance visualization for Istio and Linkerd service meshes.
Guides the implementation and maintenance of Brokle's Domain-Driven Design architecture, covering entity modeling, multi-tenant scoping, and cross-domain interactions.
Identifies and resolves application performance bottlenecks across CPU, memory, database, and I/O layers.
Configures production-grade monitoring for Spring Boot applications using Actuator, Micrometer, and OpenTelemetry.
Automates the deployment and configuration of centralized logging solutions like ELK, Loki, and Splunk for production-ready environments.
Automatically identifies performance regressions and latency spikes within CI/CD pipelines through metric analysis and baseline comparisons.
Centralizes and aggregates performance metrics from diverse sources to streamline system monitoring and observability.
Performs deep on-chain analysis and market monitoring to track whale movements, token flows, and network health.
Diagnoses and resolves application performance issues across CPU, memory, I/O, and database layers to optimize resource efficiency.
Identifies and resolves memory leaks by analyzing code patterns and providing actionable optimization recommendations.
Identifies and resolves performance bottlenecks across application layers, optimizing CPU, memory, I/O, and database efficiency.
Analyzes application logs to detect performance bottlenecks, recurring error patterns, and resource usage anomalies.
Monitors blockchain mempools for pending transactions, MEV opportunities, and real-time on-chain data insights.
Analyzes and optimizes system throughput to identify performance bottlenecks and evaluate scaling strategies.
Analyzes infrastructure utilization metrics to forecast growth trends and recommend optimized scaling strategies for software systems.
Optimizes crypto staking returns by comparing validator rewards and calculating ROI across multiple blockchain networks.
Automates the implementation of distributed tracing and OpenTelemetry instrumentation across microservices to provide full-stack observability.
Automatically captures and logs hierarchical traces of Claude Code sessions, tool calls, and conversation turns to Braintrust for complete observability.
Identifies performance trends and optimization opportunities by analyzing structured development data from your workflows.
Generates complex Excel pivot tables and visual charts from raw data using natural language commands.
Monitors and optimizes system resource consumption including CPU, memory, and network I/O to improve application performance and reduce infrastructure costs.
Implements real-user performance tracking and Core Web Vitals monitoring to optimize web application user experience.
Tracks and analyzes large-scale cryptocurrency transactions and whale wallet movements across multiple blockchains.
Analyzes codebases to identify memory leaks, optimize resource usage, and resolve performance bottlenecks through automated pattern detection.
Optimizes application speed and resource efficiency through systematic profiling, advanced caching, and modern asset delivery strategies.
Automates the configuration and deployment of infrastructure monitoring agents and dashboards across compute, database, and network layers.
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