Skill UI

This skill provides an expert API mocking framework, specializing in creating highly realistic mock services. It simulates real-world API behavior, which is essential for front-end development, integration testing, and creating stable demo environments. Use it to validate API contracts and simulate complex third-party or partner APIs before the actual backend is complete, thereby enabling efficient parallel development workflows.

Implements an Apollo.io observability stack that collects metrics, structured logs, distributed traces, and alerts, enabling teams to monitor Apollo integrations via Grafana dashboards and health checks.

Manages Arize AI Observability and Evaluation resources via the Azure Resource Manager .NET SDK; includes organization CRUD flows, marketplace onboarding, credential setup, and guidance on async long-running operations plus retry/resource identifier best practices.

Design and deploy an API gateway that unifies routing, load balancing, auth enforcement, rate limiting, transformations, and aggregation across multiple services, providing centralized observability and resilience patterns for microservice architectures.

Implements Clay observability with real-time credit usage tracking, enrichment hit-rate monitoring, alerts, and dashboards so teams can keep Clay integrations healthy and cost-efficient.

Implement monitoring, logging, and telemetry for Clerk authentication to track events, surface performance metrics, and debug production auth workflows as part of DevOps practices.

Provides expert guidance on designing scalable, resilient backend systems by defining service boundaries, API contracts, integration patterns, and observability while covering microservices, distributed systems, and event-driven initiatives for production-grade platforms.

Establish comprehensive observability for CodeRabbit integrations by collecting review latency, coverage, and acceptance metrics, then wiring dashboards and alerts for healthy PR workflows.

Automates Istio and Linkerd configuration for microservices, generating production-ready manifests and setup code tailored to your infrastructure, emphasizing security, observability, and traffic management best practices.

Provides a step-by-step observability kit for Customer.io integrations, covering Prometheus/Grafana metrics, structured logging, distributed tracing, dashboards, and alerting rules to monitor API, email, and webhook flows.

Provides Databricks monitoring instructions using system tables, SQL alerts, and the SDK to track job health, cluster utilization, query performance, costs, and exportable metrics for observability-driven operations.

Sets up metrics, tracing, logging, dashboards, and alerts for Deepgram integrations, enabling teams to monitor request throughput, latency, costs, and service health for production deployments.