Discover Agent Skills for analytics & monitoring. Browse 47 skills for Claude, ChatGPT & Codex.
Implements end-to-end monitoring, distributed tracing, and performance visualization for Istio and Linkerd service meshes.
Analyzes and resolves application bottlenecks across the full stack to improve load times, query speeds, and overall responsiveness.
Generates blameless postmortem reports and root cause analyses to improve incident response and organizational learning.
Design and implement effective business intelligence dashboards with optimized metric selection, visualization layouts, and real-time monitoring patterns.
Diagnoses and repairs configuration errors, hook failures, and environment inconsistencies within the dev-system ecosystem.
Monitors and analyzes database transactions to detect performance bottlenecks, lock contention, and rollback anomalies in real-time.
Analyzes application resource usage and execution paths to identify performance bottlenecks and recommend specific code-level optimizations.
Analyzes codebases to identify memory leaks, optimize resource usage, and resolve performance bottlenecks through automated pattern detection.
Automates the implementation of distributed tracing and OpenTelemetry instrumentation across microservices to provide full-stack observability.
Monitors blockchain mempools for pending transactions, MEV opportunities, and real-time on-chain data insights.
Identifies and resolves memory leaks by analyzing code patterns and providing actionable optimization recommendations.
Automatically identifies performance regressions and latency spikes within CI/CD pipelines through metric analysis and baseline comparisons.
Automates the deployment and configuration of centralized logging solutions like ELK, Loki, and Splunk for production-ready environments.
Diagnoses and resolves application performance issues across CPU, memory, I/O, and database layers to optimize resource efficiency.
Performs deep on-chain analysis and market monitoring to track whale movements, token flows, and network health.
Centralizes and aggregates performance metrics from diverse sources to streamline system monitoring and observability.
Analyzes application logs to detect performance bottlenecks, recurring error patterns, and resource usage anomalies.
Identifies and resolves performance bottlenecks across application layers, optimizing CPU, memory, I/O, and database efficiency.
Analyzes and optimizes system throughput to identify performance bottlenecks and evaluate scaling strategies.
Monitors and optimizes system resource consumption including CPU, memory, and network I/O to improve application performance and reduce infrastructure costs.
Deploys and configures production-ready monitoring stacks including Prometheus, Grafana, and Datadog for comprehensive system observability.
Optimizes crypto staking returns by comparing validator rewards and calculating ROI across multiple blockchain networks.
Analyzes infrastructure utilization metrics to forecast growth trends and recommend optimized scaling strategies for software systems.
Automates the configuration and deployment of infrastructure monitoring agents and dashboards across compute, database, and network layers.
Tracks and analyzes large-scale cryptocurrency transactions and whale wallet movements across multiple blockchains.
Implements real-user performance tracking and Core Web Vitals monitoring to optimize web application user experience.
Automates the collection and visualization of performance metrics across compute, storage, network, and database layers.
Analyzes decentralized exchange liquidity pools by calculating TVL, trading volume, fees, and impermanent loss risk.
Analyzes and optimizes application CPU usage to eliminate performance bottlenecks and improve processor execution efficiency.
Analyzes system performance metrics to identify bottlenecks and optimize capacity for high-throughput request handling and data processing.
Scroll for more results...