performance-analysis

Prompt Architect is a framework for developers to systematically analyze, refine, and optimize prompts using evidence-based techniques. It helps improve AI response quality and consistency by identifying anti-patterns and validating changes through A/B testing. Use it when you need to refactor an underperforming prompt or design a new, effective one from scratch.

This skill provides advanced test reporting and analytics, including quality dashboards, predictive analytics, and trend analysis for QE metrics. It's designed for communicating quality status, tracking trends, and supporting data-driven decisions. Developers should use it when they need to generate executive reports or analyze quality metrics with a focus on actionable insights.

This skill provides automated quality verification for code and agent outputs using truth scoring and quality checks. It automatically rolls back changes that fall below a 0.95 accuracy threshold, ensuring codebase reliability. Use it for CI/CD integration and maintaining high-quality standards in development workflows.

This skill provides automated verification and quality assurance for code and agent outputs, including truth scoring and validation checks. It enables automatic rollback for failed quality checks and integrates with CI/CD pipelines. Use it to validate code changes before merging or to ensure the correctness of generated outputs.