Skill UI

Python SDK for Azure Cosmos DB NoSQL API. Use for document CRUD, queries, container management, partition keys, and throughput tuning for globally distributed data.

Auto-instrument Node.js and TypeScript applications with Azure Monitor OpenTelemetry, enabling distributed tracing, custom metrics, and log collection for cloud observability.

This guide helps developers build reliable and fault-tolerant Go applications using DBOS durable workflows. It covers installation, configuration, workflow structure, concurrency control with queues, and best practices for testing and deployment. Use it when integrating DBOS into existing Go code or creating new distributed systems.

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.

Configure comprehensive debugging workflows, distributed tracing, logging standards, and production-safe diagnostics for multi-service systems.

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.

This skill provides a comprehensive framework for mastering microservices architecture patterns. It covers critical aspects of building robust, distributed systems, including defining service boundaries (Domain-Driven Design), managing inter-service communication, handling distributed data transactions, and implementing various resilience patterns (e.g., circuit breaker, circuit breaker). It is essential for large-scale system decomposition.

Expert guidance for designing distributed NoSQL databases like Cassandra and DynamoDB. Covers query-first modeling, partition key selection, single-table design, denormalization, and avoiding hot partitions in high-scale systems.