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Review Protocol Buffer and gRPC API changes to ensure wire and JSON compatibility. This skill covers safe schema evolution, identifying rollout hazards, and maintaining RPC contract quality. It is used when reviewing proto diffs, modifying messages and services, planning migrations, or diagnosing cross-version failures in distributed systems.

This skill provides expert-level review and guidance for complex software systems. It covers modern architecture patterns like microservices, event-driven design, and clean architecture. The architect evaluates scalability, resilience, security, and maintainability. It helps ensure architectural integrity and compliance with best practices across distributed systems and cloud-native environments.

Python client library for Azure Cosmos DB NoSQL API. Enables document CRUD, SQL queries, container and database management, and globally distributed data operations with sync and async clients.

Auto-instrument Node.js and TypeScript apps with Azure Monitor OpenTelemetry for distributed tracing, custom metrics, and log ingestion. Covers auto-instrumentation, ESM loader, sampling, exporters, and manual provider setup.

Expert backend architect for scalable API design, microservices, distributed systems, resilience, security, and observability.

Expert DevOps troubleshooter specializing in rapid incident response, advanced debugging, and modern observability. Provides guidance on log analysis, distributed tracing, performance debugging, and system reliability engineering for cloud-native environments.

Set up comprehensive debugging environments, distributed tracing, and diagnostic tools for development and production. Configure tracing, logging standards, and troubleshooting workflows to diagnose multi-service issues efficiently.

Implement distributed tracing with Jaeger and Tempo for request flow visibility across microservices. Configure OpenTelemetry SDK and exporters to diagnose latency and errors. Ensure secure context propagation without logging sensitive data. Verify trace spans and sampling strategies for production observability.

Master idiomatic Elixir with OTP patterns, supervision trees, Phoenix LiveView, Ecto, concurrency, and fault-tolerant distributed systems. Ideal for implementing or reviewing production-grade Elixir code.

This skill specializes in debugging distributed systems and analyzing production incidents. It helps identify root causes of errors using observability tools, structured logging, and distributed tracing. You will implement fixes, establish preventive measures, and improve system reliability. Suitable for investigating recurring errors and designing error handling improvements.

Systematic error analysis and resolution for debugging distributed systems, investigating production incidents, and implementing observability solutions. Provides root-cause analysis, structured logging, distributed tracing, and preventive measures to improve system reliability.

This skill provides expert guidance for Site Reliability Engineering (SRE) incident response. It covers rapid problem resolution, modern observability practices, and comprehensive incident management workflows. Use it for assessing severity, establishing command structures, stabilizing systems, investigating root causes using distributed tracing and metrics, communicating with stakeholders, and conducting blameless post-mortems to improve system resilience.