product-acceptance-criteria

What problem does it solve?

It helps teams verify that AI-generated or human-written code meets production standards for observability and reliability.

Core Features & Use Cases

• Code review: Audit structured logging, metrics, health checks, and shutdown procedures for production readiness.
• Acceptance criteria creation: Define checklist standards for deploying reliable, observable services.
• Observability auditing: Assess existing codebases for compliance with industry benchmarks on logging, metrics, and fault tolerance.
• Use Case: A DevOps team validates a new microservice's logging and retry policies before deployment to ensure operational excellence.

Quick Start

Apply this skill during code review to verify logging, metrics, health checks, timeouts, retries, and circuit breakers are properly implemented.