AI RECRUITER AGENT
Terminal-Native AI Recruiting Agency Extension for Claude Code with Multi-Agent Evaluation Architecture
This project is a powerful, terminal-native Local Autonomous AI Recruiter Team for Claude Code. It is engineered as a zero-infrastructure developer utility that transforms the Claude Code command line into a self-contained, enterprise-grade talent acquisition agency, completely eliminating the $15,000–$30,000 premium placement fees charged by traditional firms.The tool relies on a Local Parallel Multi-Agent Swarm that runs entirely within the local IDE environment. When a user executes a master command like /recruit analyze <role>, the local orchestration engine dispatches five specialized sub-agents asynchronously. These local agents run in parallel to grade distinct hiring dimensions: evaluating job description appeal, analyzing resume screening metrics, constructing behavioral/technical interview loops, benchmarking geographic salary brackets, and auditing digital employer brand blind spots.Within 2 to 3 minutes, the swarm synthesizes its multi-point analysis into a proprietary Hiring Readiness Score (0-100) with a corresponding letter grade (A+ to F) and maps out an actionable, prioritized 90-day execution blueprint. Built with absolute architectural simplicity, the software requires zero external databases, zero cloud hosting costs, and zero configuration steps—installing as a plug-and-play local Python virtual environment (venv) that reads plain-text Markdown skill files and leverages ReportLab to compile highly detailed, 10-page client-ready PDF reports locally on the host device.
