Discover Agent Skills for analytics & monitoring. Browse 47 skills for Claude, ChatGPT & Codex.
Provides expert SaaS financial analysis and unit economics modeling for solo and bootstrapped founders.
Implements robust uptime tracking, error logging, and performance monitoring to ensure SaaS applications remain stable and responsive.
Performs professional-grade technical analysis on stocks and ETFs using advanced indicators and pattern recognition.
Monitors specific topics and provides AI-powered alerts for product releases, news, and technical updates.
Identifies runtime performance bottlenecks and async anti-patterns to optimize application execution and resource efficiency.
Monitors and optimizes CPU and GPU resource consumption during intensive development, builds, and training tasks.
Implements robust monitoring strategies, SLI/SLO frameworks, and distributed tracing patterns for production-ready systems.
Configures production-grade observability, health monitoring, and secure management endpoints for Spring Boot applications.
Generates professional HTML dashboards featuring KPI cards, SVG charts, and interactive data visualizations for monitoring project metrics.
Streamlines the process of adding new AI agent cost and token usage trackers to the Splitrail monitoring system.
Monitors execution workflows for errors and inefficiencies to automatically generate actionable GitHub issues for improvements.
Provides guidance for managing terminal UI components and real-time token usage tracking logic within the Splitrail ecosystem.
Implements comprehensive infrastructure monitoring, LLM tracing, and drift detection patterns to ensure production-grade system reliability.
Queries and visualizes local usage metrics across projects to track agent performance, model costs, and development trends.
Optimizes full-stack application performance using modern patterns for Core Web Vitals, React rendering, and high-throughput LLM inference.
Optimizes application speed across frontend Core Web Vitals, React rendering, backend profiling, and LLM inference efficiency.
Implements comprehensive monitoring, LLM tracing, and drift detection patterns for production-ready AI applications.
Analyzes local OrchestKit usage data to provide detailed insights into agent performance, model costs, and development trends.
Monitors and analyzes student engagement, retention, and completion metrics to optimize educational outcomes.
Implements structured logging, diagnostic error patterns, and robust observability for React and React Native applications.
Audits architectural patterns against industry best practices while tracking structural health and drift over time.
Implements comprehensive monitoring, alerting, and observability systems using industry-standard SRE best practices and metrics.
Measures software quality through actionable DORA metrics, bug escape rates, and automated quality gate enforcement.
Diagnoses and resolves Azure production issues using AI-powered diagnostics, log analysis, and system health checks.
Generates detailed visual reports and usage statistics from your Claude Code interaction history.
Instruments web applications to send telemetry data to Azure Application Insights for comprehensive observability and monitoring.
Monitors and analyzes Azure resource health using Azure Monitor, Application Insights, and advanced KQL log queries.
Queries and analyzes big data in Azure Data Explorer using Kusto Query Language (KQL) for logs, telemetry, and time series insights.
Implements and enforces comprehensive Sentry v8 error tracking and performance monitoring across TypeScript and Node.js services.
Enhances the Claude Code interface with customizable, multi-line statuslines featuring real-time cost tracking and Git indicators.
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