Show HN: Agent skills that review user-facing agent UX from your codebase (github.com)

A new suite of open skills designed to enhance conversational AI agents’ user experiences has been introduced, specifically targeting product and technical teams. This initiative allows developers to comprehensively discover, review, and recommend improvements to agent capabilities in their codebases, such as chatbots, copilot tools, and assistant UIs. Key features include the ability to generate plain-language documentation that highlights product strengths and weaknesses, ultimately guiding future enhancements. The significance of this toolset lies in its structured approach to improving AI agent performance through continuous feedback. It includes functionalities like running a full discovery and review workflow and generating actionable recommendations, making it easier for teams to understand and enhance user-facing experiences. Outputs consist of inventories of discovered capabilities, UX reviews, and suggestions with implementation context, facilitating a data-driven method for evolving conversational AI systems. This approach not only improves user interaction but also streamlines the development process, ensuring that AI agents are both effective and user-friendly.