ai-job-search-tutorial

[!NOTE] This repository is a clone of MadsLorentzen/ai-job-search, enhanced with deep-dive documentation for onboarding and development. Start at docs/index.md — it demystifies how the framework works inside and teaches you how to build projects like it.

An AI-powered job application framework built on Claude Code. Fork it, fill in your profile, and let Claude evaluate job postings, tailor your CV, write cover letters, and prepare you for interviews.

What this is

A structured workflow that turns Claude Code into a full-stack job application assistant. The core workflow (self-profiling, fit evaluation, and the drafter-reviewer application pipeline) is language- and country-agnostic. The job portal search skills are built for the Danish market (Jobindex, Jobnet, Akademikernes Jobbank, etc.), but the pattern is designed to be swapped for your local job boards.

The framework encodes career guidance best practices, including structured evaluation criteria, forward-looking cover letter framing, and optional salary benchmarking.

Prerequisites

• Claude Code (CLI)
• Python 3.10+
• Bun (for Danish job search CLI tools)
• LaTeX distribution with lualatex and xelatex: TeX Live or MiKTeX. The CV compiles with lualatex (pdflatex often fails on modern MiKTeX installs with fontawesome5 font-expansion errors); the cover letter compiles with xelatex because cover.cls requires fontspec.