Show HN: RePrompter – Rough prompts to structured, scored prompts (github.com)

RePrompter, a new AI tool, aims to enhance prompt creation by transforming vague user inputs into structured, high-quality prompts for language models. By conducting an interactive interview process, RePrompter assesses the complexity of tasks and chooses the appropriate execution mode—whether for a single agent or a multi-agent team—effectively increasing the prompt's clarity and specificity. For instance, a user prompt about building a crypto dashboard can be upgraded from a low score of 1.6 to an impressive 9.0 in just 15 seconds. This tool is significant for the AI/ML community as it democratizes prompt engineering, making it accessible for individuals without technical expertise. It streamlines task orchestration by generating team briefs and sub-prompts based on the user’s input, ensuring that complex projects are clearly defined and well-coordinated. The system scores prompts on various dimensions, including clarity, structure, and specific requirements, thereby facilitating better task execution. Overall, RePrompter not only improves prompt quality but also enhances collaborative workflows across different roles in software development.