pplam/prepme

PrepMe is an AI agent skill that takes a resume and a job description, analyzes both, and produces a focused set of interview questions tailored to that specific candidate and role. You install it into an AI agent using a command-line tool, point the agent at your documents, and it generates a single HTML file you can open in any browser to study from. The question generation works in two directions. The job description half strips away company marketing language and identifies the underlying technical or professional concepts being sought. A job ad mentioning a real-time payments platform, for example, would produce a question about the fundamental principles of message ordering rather than a question about that company's specific system. The resume half looks at what the candidate claims to have built or know, then generates questions designed to probe the depth of that experience, including whether any skills described confidently can hold up under follow-up. Every question is labeled as Foundational, Core, or Advanced, includes a note explaining why that question gets asked in interviews, and comes pre-loaded with two to four likely follow-up questions. The output HTML file has no external dependencies: it works offline, tracks which questions you have drilled using browser local storage, lets you filter by category or difficulty, and includes a one-click button that copies a ready-to-paste prompt to your clipboard for getting a detailed answer from any AI chat tool. The language of the output matches the language of the input documents. If your resume and job description are in Chinese, the questions come back in Chinese, with technical terms left in their original form. The skill itself is a markdown file defining the logic and an HTML template. You install it with npx skills add pplam/prepme and then invoke it through whatever AI agent supports that skills format.