Skill UI

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.

Provides experienced architecture guidance for designing scalable distributed systems, documenting decisions with ADRs, evaluating technology trade-offs, and planning infrastructure, diagrams, and reviews for new or existing systems.

Python client for Azure App Configuration that centralizes settings, manages feature flags, snapshots, and read-only policies for distributed applications while offering sync and async flows.

Python client for Azure App Configuration that centralizes settings, manages feature flags, snapshots, and read-only policies for distributed applications while offering sync and async flows.

Rust SDK for Azure Cosmos DB NoSQL API that streamlines authentication, client hierarchy access, and document CRUD/patch/delete workflows against globally distributed containers.

Instrument Node.js services with Azure Monitor's OpenTelemetry SDK, enabling distributed traces, metrics, and logs via auto-instrumentation, manual exporters, and custom telemetry uploads.

Client library for TypeScript to send, receive, and manage enterprise messages via Azure Service Bus queues, topics, subscriptions, sessions, and dead-letter handling in distributed applications.

Designs and executes chaos experiments, failure-injection frameworks, and game days for distributed systems, providing runbooks, manifests, rollback plans, and continuous resilience automation in CI/CD.

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.

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.

This skill guides users in transforming chaotic debugging efforts into a structured, systematic process. It provides a methodology for tracking down elusive bugs, investigating complex performance degradation, and resolving critical production incidents. Users learn to capture necessary logs, formulate testable hypotheses, narrow the scope using techniques like binary search, and methodically verify fixes in distributed systems environments.

Creates step-by-step decomposition plans and migration roadmaps to guide the transition from monolithic applications to distributed architectures, prioritizing risk, value, and dependencies while tracking progress through pattern-based phases.