analytics & monitoring向けのClaudeスキルを発見してください。47個のスキルを閲覧し、AIワークフローに最適な機能を見つけましょう。
Implements comprehensive real-user monitoring to track Core Web Vitals, page performance, and custom user experience events.
Provides unified access to Grafana, Loki, and Prometheus for monitoring, logging, and incident management in Kubernetes clusters.
Implements and configures Real User Monitoring to track Core Web Vitals and actual user-centric performance metrics.
Monitors and analyzes application latency across APIs, databases, and frontend components to identify and resolve performance bottlenecks.
Automates the configuration of intelligent monitoring alerts, escalation policies, and diagnostic runbooks for system observability.
Implements a continuous learning loop that observes tool failures and user corrections to evolve AI rules and behaviors.
Establishes and monitors Service Level Agreements (SLAs) and Objectives (SLOs) to ensure peak service performance and reliability.
Analyzes application logs to pinpoint performance bottlenecks, detect error patterns, and streamline debugging processes.
Analyzes application performance to identify CPU bottlenecks, memory leaks, and execution inefficiencies across various tech stacks.
Provides comprehensive, prioritized recommendations to identify and resolve performance bottlenecks across software architectures.
Automates the generation of intelligent performance monitoring rules and escalation policies for production systems.
Automates the definition and tracking of SLAs, SLIs, and SLOs to maintain high service availability and reliability.
Monitors and displays real-time Claude CLI API usage limits and session quotas within your terminal.
Analyzes HTML documents to identify performance bottlenecks, render-blocking resources, and Core Web Vitals optimizations.
Monitors database transactions in real-time to detect performance bottlenecks, lock contention, and transaction anomalies.
Monitors and analyzes CPU usage patterns to identify performance bottlenecks and optimize algorithmic complexity.
Activates a scientific, methodical investigation protocol for complex software bugs that resist standard troubleshooting.
Deploys and configures production-ready observability stacks including Prometheus, Grafana, and Datadog.
Generates comprehensive Application Performance Monitoring (APM) dashboards for platforms like Grafana and Datadog using natural language prompts.
Accesses and analyzes Vercel deployment logs to monitor application health and troubleshoot errors.
Integrates Sentry v8 error tracking and performance monitoring into project services to ensure comprehensive exception capture and observability.
Analyzes Google Cloud Logging data using gcloud, jq, and DuckDB to diagnose errors and performance issues.
Debugs LangChain and LangGraph agents by fetching and analyzing execution traces directly from LangSmith Studio in the terminal.
Debugs and analyzes LangChain or LangGraph agent execution traces directly from LangSmith Studio within your terminal.
Streamlines production issue resolution by integrating Sentry error tracking and stack trace analysis directly into the Claude Code environment.
Analyzes marketing performance data to generate client-ready reports and interactive HTML dashboards with actionable insights.
Profiles and optimizes Python applications to identify bottlenecks, reduce memory usage, and improve execution speed using industry-standard tools and patterns.
Aggregates and analyzes AI coding session history across Claude Code, Claude Desktop, and OpenCode environments.
Manages Splunk reports and scheduled searches via the Splunk REST API directly within Claude Code.
Investigates and validates capital allocation and exit recycling logic to ensure financial model integrity.
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