Observability skills

This skill helps you diagnose, baseline, and optimize performance by guiding measurement, bottleneck identification, and capacity planning.

This skill guides safe refactoring to preserve external behavior while reducing duplication and complexity across codebases.

This skill orchestrates post-plan materialization and implementation by coordinating MCP items, dependencies, and agent workflows for seamless execution.

This skill standardizes observability, health checks, and resilience across Aspire services by providing a shared ServiceDefaults project.

This skill guides explicit, contextual error handling to improve clarity, observability, and reliability across applications.

This skill helps design scalable distributed systems by defining service boundaries, data ownership, and resilience patterns for microservices.

This skill helps optimize PostgreSQL performance by analyzing queries, designing indexes, configuring replication, and maintaining health with best-practice

This skill helps you design and implement comprehensive monitoring, logging, metrics, and alerting systems for reliable production observability.

This skill guides you in building and deploying AI agents with AWS Strands Agents SDK and Bedrock AgentCore, including architecture, observability, and

This skill helps you insert purposeful debug logging to enhance observability without altering behavior in critical modules.

This skill helps Spring Boot developers integrate LangChain4j with declarative AI services and auto-configuration for production-grade AI apps.

This skill helps you configure Spring Boot Actuator for production-grade monitoring, health checks, and secure, observable JVM services.

This skill helps you implement fault tolerance in Spring Boot apps using Resilience4j by adding circuit breakers, retries, rate limiters, bulkheads, and

This skill helps you manage AWS RDS resources using the Java v2 SDK, covering instances, snapshots, parameter groups, backups, and monitoring.

This skill audits observability in codebases, identifying logging, health checks, metrics, and tracing gaps to improve reliability with actionable findings.

This skill validates, explains, and optimizes PromQL queries, offering interactive planning to improve accuracy, performance, and interpretability.

This skill helps you manage Railway deployments, view logs, and troubleshoot issues across redeploys, restarts, and history.

This skill helps you monitor resource usage and performance for Railway services by querying CPU, memory, and network metrics.

This skill helps you build and visualize dashboards with Recharts, generating charts, KPI cards, and data visualizations to monitor metrics effectively.

This skill helps you build model-agnostic AI agents with the Strands SDK on AWS, enabling ReAct, multi-agent orchestration, and production deployment.

This skill helps teams plan and execute sprints efficiently by defining goals, estimating work, and managing backlogs for incremental value.