Developed and delivered a Prompt Optimizer Skill for chat interfaces within the github/awesome-copilot repository, focusing on enhancing prompt quality for large language models. The solution generates optimized, ready-to-send prompts and incorporates clarifying questions when user requests are incomplete, improving both usability and reliability. The work involved AI development, chatbot development, and prompt engineering, with implementation in Markdown. Additionally, groundwork was laid for faster and more reliable pull request automation, including a potential fix for PR discovery. Collaboration with Copilot Autofix ensured code quality and maintainability throughout the process, reflecting a methodical approach to feature delivery and technical improvement.