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This skill provides a comprehensive framework for maintaining high-quality, production-ready LLM implementations. It automates the audit of model versions by mandating real-time research to avoid stale training data, enforces best practices in prompt engineering through the Role-Objective-Latitude pattern, and integrates robust evaluation suites using tools like Promptfoo. By standardizing observability and CI/CD integration, it ensures that your AI features are properly instrumented, secure against injections, and guarded against regressions in cost or performance.