Discover Agent Skills for analytics & monitoring. Browse 47 skills for Claude, ChatGPT & Codex.
Detects and resolves performance bottlenecks across CPU, memory, I/O, and database layers to optimize application responsiveness.
Analyzes infrastructure utilization and forecasts resource growth to provide actionable scaling recommendations.
Monitors and analyzes application CPU usage patterns to identify performance bottlenecks and optimize algorithmic efficiency.
Monitors database health with real-time metrics, predictive alerts, and automated remediation for PostgreSQL and MySQL instances.
Automates the implementation of end-to-end request visibility and observability across microservices architectures.
Monitors, tracks, and analyzes application error rates to improve software reliability and automate alerting configurations.
Automates the collection and visualization of comprehensive infrastructure performance metrics across multi-layer systems and cloud services.
Automates the deployment and configuration of centralized logging solutions like ELK, Loki, and Splunk for production environments.
Analyzes application logs to identify performance bottlenecks, recurring error patterns, and resource usage anomalies.
Aggregates and centralizes performance metrics from diverse systems to streamline observability and real-time monitoring.
Automates the deployment and configuration of observability tools like Prometheus, Grafana, and Datadog for production-ready environments.
Diagnoses and resolves application bottlenecks by optimizing network request patterns, parallelizing API calls, and improving connection management.
Validates application performance metrics against predefined thresholds to prevent regressions and maintain optimal user experiences.
Analyzes software projects to identify bottlenecks and provide prioritized recommendations for enhancing speed and efficiency across the full stack.
Identifies and reports performance degradations within CI/CD pipelines by analyzing response times and throughput metrics against historical baselines.
Implements Real User Monitoring (RUM) to capture actual user performance data, Core Web Vitals, and custom experience metrics.
Monitors and optimizes system resources like CPU, memory, and database connections to improve application performance and reduce infrastructure costs.
Monitors and optimizes application performance by tracking latencies across APIs, databases, and background jobs using percentile metrics.
Defines and monitors Service Level Agreements (SLAs), Indicators (SLIs), and Objectives (SLOs) to ensure high system reliability and performance.
Automates the configuration of uptime, transaction, and API monitoring to ensure application performance and availability.
Analyzes system metrics to identify performance bottlenecks and optimize request, data, and queue throughput.
Optimizes Grafana dashboards for observability best practices, SRE standards, and improved diagnostic clarity using Jsonnet.
Monitors and optimizes LLM applications through comprehensive tracing, prompt management, and performance evaluation.
Implements, audits, and optimizes analytics tracking systems to provide actionable business and product insights.
Analyzes and optimizes web application performance using Core Web Vitals, bundle analysis, and runtime profiling techniques.
Optimizes website speed, Core Web Vitals, and resource efficiency to improve user experience and search engine rankings.
Measures, analyzes, and optimizes web application performance using Core Web Vitals and runtime profiling techniques.
Optimizes web application performance through systematic measurement, analysis, and targeted runtime improvement techniques.
Implements professional-grade analytics tracking, measurement plans, and data quality audits for web and product environments.
Implements professional analytics tracking plans, GA4 configurations, and GTM tagging to drive data-informed product and marketing decisions.
Scroll for more results...