he-yufeng/FindJobs-Agent — LLM-powered toolkit for skill analysis, AI interviews, resume scoring, and job structuring.

Description and use

FindJobs‑Agent is an open‑source, LLM‑driven toolkit that automates professional skill taxonomy, AI‑powered interview simulations, resume scoring, and job structure generation. By leveraging adaptive difficulty, it streamlines skill analysis and interview processes, helping users assess and improve their qualifications. The project spans AI/ML and frontend components, offering a ready‑to‑use solution for modern hiring workflows.

Problem

he-yufeng/FindJobs-Agent helps add AI capability without starting from a blank model stack.

Outcome

Early or unclear: treat as research material until maintenance, releases, docs, and issue activity are verified.

Workflow

• prototype AI features
• build RAG or agent workflows
• evaluate model tooling

Evidence

LLM-powered toolkit for skill analysis, AI interviews, resume scoring, and job structuring. Automates professional skill taxonomy and interview processes with adaptive difficulty.

Source