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。
Automates the configuration of uptime, transaction, and API monitoring to proactively track application performance and availability.
Defines and tracks critical service reliability metrics including SLAs, SLIs, and SLOs to ensure peak system performance.
Establishes and monitors Service Level Agreements, Objectives, and Indicators to ensure optimal system performance and reliability.
Analyzes application logs to identify performance bottlenecks, detect recurring error patterns, and provide actionable debugging insights.
Identifies and resolves application performance issues across CPU, memory, I/O, and database layers to optimize system responsiveness.
Profiles application execution to identify performance bottlenecks, memory leaks, and CPU-intensive operations for targeted optimization.
Deploys and configures production-ready centralized logging solutions like ELK, Loki, and Splunk for enhanced observability.
Monitors and analyzes application error rates to improve system reliability through automated tracking and alerting.
Monitors and optimizes application performance by tracking response times across APIs, databases, and background services.
Centralizes and organizes performance metrics from across your infrastructure into unified observability dashboards.
Automates the collection and visualization of multi-layer infrastructure performance metrics across cloud and on-premise environments.
Automates the implementation of end-to-end observability and distributed tracing across microservices architectures.
Analyzes psychological data to track mood patterns, assess mental health risks, and provide personalized wellness insights.
Monitors new cryptocurrency token launches and IDOs while performing deep on-chain analysis and contract verification.
Identifies and resolves application performance issues across CPU, memory, I/O, and database layers to optimize resource utilization and system responsiveness.
Analyzes codebases to identify CPU hotspots, optimize algorithmic complexity, and detect performance bottlenecks that impact processor utilization.
Implements Real User Monitoring (RUM) strategies to capture, analyze, and optimize actual user performance data and Core Web Vitals.
Configures and deploys production-ready log aggregation solutions using ELK, Loki, or Splunk to centralize system observability.
Monitors and optimizes application resource consumption, identifying performance bottlenecks and cost-saving opportunities through real-time metric analysis.
Constructs professional-grade leveraged buyout models in Excel featuring debt schedules, cash flow waterfalls, and IRR sensitivity analysis.
Calculates cryptocurrency tax obligations by tracking cost basis and transaction history across multiple chains and exchanges.
Identifies and compares high-yield DeFi opportunities across protocols using real-time APY calculations and comprehensive risk assessment metrics.
Monitors blockchain mempools to detect pending transactions, identify MEV opportunities, and analyze real-time market data for actionable crypto insights.
Tracks real-time cryptocurrency prices, on-chain metrics, and technical indicators across multiple exchanges and blockchains.
Analyzes application logs to detect performance bottlenecks, recurring error patterns, and resource usage anomalies.
Tracks large-scale cryptocurrency transactions and monitors high-value wallet movements across various blockchain networks.
Centralizes and harmonizes performance metrics from applications, databases, and infrastructure into unified monitoring platforms.
Executes deep blockchain data analysis to track whale activity, monitor token flows, and evaluate network health for crypto market research.
Monitors and analyzes application error rates to improve system reliability through proactive threshold-based alerting and failure pattern analysis.
Defines and tracks SLAs, SLIs, and SLOs to manage service reliability, monitor performance targets, and calculate error budgets.
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