Skill UI

Performance engineering for modern applications. Diagnoses bottlenecks in backend, frontend, and infrastructure. Designs load tests, capacity plans, and observability setups. Optimizes latency, throughput, and resource efficiency using OpenTelemetry, Prometheus, and k6. Covers caching, distributed tuning, and cloud optimization.

Configure Prometheus and Grafana for comprehensive metrics collection, visualization, and alerting. This skill covers Docker and Kubernetes deployment, PromQL query writing for analysis, and setting up alerting rules for system performance monitoring. Ideal for DevOps engineers managing infrastructure observability.

Monitor and evaluate Retrieval-Augmented Generation (RAG) systems using measurable metrics. This skill covers retrieval quality checks like Recall@k, hallucination detection, and groundedness scoring. It enables continuous regression testing and production monitoring for AI pipelines using Python libraries like RAGAS and OpenTelemetry.

Implement service-to-service communication management using Istio or Linkerd. Configure mutual TLS (mTLS) for security, traffic shaping, and observability. Use this skill when managing microservices architecture, enabling canary deployments, enforcing authorization policies, and monitoring service health without changing application code.

This skill provides expertise in designing and managing service mesh architectures using tools like Istio and Linkerd. It covers traffic management, security policies, observability, and multi-cluster configurations. Ideal for implementing zero-trust networking, microservices communication, and progressive delivery strategies in cloud-native environments.

A comprehensive guide covering observability patterns for service meshes like Istio and Linkerd. Learn how to implement the three pillars—Metrics, Traces, and Logs—to monitor service health, visualize dependencies, track golden signals (latency, traffic, errors, saturation), and debug microservice communication issues across complex distributed systems.

Expert guide for building durable distributed systems with the Temporal Go SDK, covering deterministic workflow rules, mTLS worker configuration, advanced patterns, and testing/observability strategies for production workloads.

This skill performs an observability-first audit of deployed Vercel applications. It comprehensively analyzes production metrics, project configurations, and codebase scans to identify potential cost overruns and performance bottlenecks. It provides version-aware, actionable recommendations for improving application efficiency and reducing cloud expenditure.