analytics & monitoring Claude 스킬을 발견하세요. 47개의 스킬을 탐색하고 AI 워크플로우에 완벽한 기능을 찾아보세요.
Automates the recording and management of an audit trail for file changes, test results, and git commits during Claude Code sessions.
Maintains a real-time chronological log of development activities, including file modifications, test outcomes, and architectural decisions.
Generates production-ready Fluent Bit configurations for logs, metrics, and traces using industry best practices.
Generates optimized, production-ready Grafana Loki queries for log analysis, alerting, and observability dashboards.
Validates, lints, and audits Fluent Bit configurations for syntax correctness, security vulnerabilities, and performance optimizations.
Validates, optimizes, and explains Prometheus Query Language (PromQL) queries to ensure observability data is accurate and efficient.
Generates production-grade PromQL queries using an interactive workflow that ensures monitoring best practices and accurate metric analysis.
Generates production-grade Grafana Loki server configurations optimized for performance, scalability, and the latest v3.x standards.
Monitors and reports AI coding expenses and token consumption across multiple providers like Claude, Gemini, and Codex.
Validates Claude Code session behavior against SKILL.md specifications to ensure correct execution of agents, hooks, and tools.
Monitors active development in real-time to detect and prevent architectural drift and scope creep from the original project plan.
Diagnoses and resolves ADVPL/TLPP compilation errors, runtime failures, and performance bottlenecks in the TOTVS Protheus environment.
Detects and prevents performance regressions by auditing code patterns, database queries, and resource usage before they reach production.
Automates structured incident response for production outages and service degradations within the Claude Code environment.
Identifies and resolves Elixir and Phoenix bugs using literal error analysis, parallel deep-dives, and automated runtime context capture.
Optimizes Phoenix LiveView performance by auditing socket assigns for memory efficiency and best practices.
Analyzes Elixir and Phoenix applications to identify and resolve performance bottlenecks, N+1 queries, and memory leaks.
Implements measure-first performance strategies to optimize code speed while maintaining readability and architectural simplicity.
Analyzes large-scale application logs efficiently through targeted filtering and iterative refinement to identify root causes and patterns.
Analyzes workout logs, tracks performance trends, and correlates exercise patterns with health metrics for personalized fitness insights.
Implements expert patterns for Segment Customer Data Platform including client-side Analytics.js, server-side Node.js tracking, and data governance.
Integrates multi-source digital health data with the WellAlly.tech knowledge base to provide personalized health management insights and recommendations.
Automates website performance monitoring and uptime management tasks through the Pingdom API using Rube MCP.
Enhances AI agent reliability by monitoring tool calls and automatically recovering from failures like truncated JSON or rate limits.
Configures comprehensive distributed tracing and debugging workflows to diagnose complex multi-service system issues.
Automates financial market data retrieval and analysis from Polygon.io using Rube MCP and Composio.
Automates financial data retrieval and market analysis using the Alpha Vantage API via the Composio Rube MCP.
Identifies and resolves frontend issues by inspecting console logs, network traffic, and real-time browser execution states.
Monitors and debugs web applications through distributed tracing, real-time console logs, and detailed network request analysis.
Analyzes web page performance and Core Web Vitals to identify speed bottlenecks and optimize user experience through automated browser testing.
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