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