Discover Agent Skills for analytics & monitoring. Browse 47 skills for Claude, ChatGPT & Codex.
Identifies and resolves memory leaks, performance bottlenecks, and resource management issues within your codebase.
Automates the deployment and configuration of professional-grade monitoring solutions like Prometheus, Grafana, and Datadog.
Monitors and optimizes application resource consumption to improve performance and reduce infrastructure costs.
Tracks and optimizes application performance by monitoring response times across APIs, databases, and background execution tasks.
Monitors real-time database transactions to detect performance bottlenecks, lock contention, and transaction anomalies.
Analyzes network request patterns to identify latency bottlenecks and implement performance optimizations like request batching and connection pooling.
Analyzes application log files to identify performance bottlenecks, recurring error patterns, and resource usage anomalies.
Consolidates performance data from applications, databases, and systems into centralized monitoring dashboards and alerting pipelines.
Automates the deployment and configuration of production-ready observability tools like Prometheus, Grafana, and Datadog.
Automates the deployment and configuration of professional monitoring infrastructure including Prometheus, Grafana, and Datadog.
Automates the configuration of proactive performance tracking, uptime checks, and API monitoring for web applications.
Monitors and optimizes application resource consumption including CPU, memory, and database connections to improve performance and reduce costs.
Deploys and configures production-ready monitoring infrastructure including Prometheus, Grafana, and Datadog.
Monitors, analyzes, and remediates PostgreSQL and MySQL performance issues using real-time metrics and predictive alerts.
Automates the deployment and configuration of centralized logging systems like ELK, Loki, and Splunk for production environments.
Monitors database transactions in real-time to identify performance bottlenecks, lock contention, and high rollback rates.
Monitors database transactions in real-time to detect lock contention, long-running queries, and performance anomalies.
Analyzes infrastructure resource utilization and forecasts growth trends to recommend proactive scaling strategies and prevent performance bottlenecks.
Analyzes network traffic patterns and optimizes request handling to reduce latency and improve application performance.
Validates application performance metrics against predefined thresholds to prevent regressions throughout the development lifecycle.
Analyzes infrastructure resource utilization and forecasts future growth to recommend optimal scaling strategies.
Analyzes infrastructure resource utilization and forecasts growth trends to provide actionable scaling recommendations and prevent bottlenecks.
Automates the implementation of end-to-end observability and distributed tracing for complex microservices architectures.
Centralizes and organizes performance metrics from diverse applications and systems into a unified observability framework.
Analyzes application logs to identify performance bottlenecks, recurring error patterns, and system anomalies for faster debugging.
Automates the configuration of synthetic monitoring to proactively track application performance, uptime, and critical user journeys.
Automates the configuration of uptime, transaction, and API monitoring to proactively track application performance and availability.
Identifies potential memory leaks and analyzes usage patterns to optimize application performance and stability.
Identifies and resolves memory leaks by analyzing code patterns, resource management, and resource allocation practices.
Validates application performance against predefined budgets to identify regressions and maintain optimal speed metrics.
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