What is shushu-internship-tool?

Shushu Internship Tool is a Python package built as an AI assistant skill that helps computer science students and junior candidates prepare for internship interviews. It takes a job description as input, meaning the role responsibilities, required skills, tech stack, and other hiring details, and works through the whole pipeline from picking a suitable project to producing interview talking points. Given a job description, the tool first asks the user a short set of questions about their current skill level, preferred languages and frameworks, available time, and local or remote resources. It then suggests two to three GitHub projects that match the job description, ranked by how closely they fit the role, how fast they can be set up, and how much they cost to run. Once a project is cloned, the tool can audit it and produce an audit.json file plus overview documents in Markdown and HTML that summarize the code structure, entry points, dependencies, and data or task flow. It also plans a baseline run, favoring the smallest local setup over cloud servers, databases, or GPU environments unless truly needed, and suggests small, demonstrable changes such as adding an API, a page, a database swap, caching, tests, monitoring, or a CI pipeline. Finally it generates interview material: a STAR-format resume summary, an explanation of the core code, mock interview questions and answers, and slide talking points. The tool supports four run depths: interview-only, which skips running the project and focuses on selection and prep materials, smoke-test, which runs the smallest path to prove the project starts, local-full-run, which runs a full local demo, and remote-full-run, for projects that need cloud infrastructure. It installs as a Python package with pip in a virtual environment and exposes both Python module commands and standalone command-line tools for repo auditing, candidate ranking, and interview pack generation. The project is released under the Apache-2.0 license and the README notes a QQ group for internship job-seekers to discuss the tool.