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ai-job-search-codex

gottn

Codex-native adaptation of the AI Job Search workflow

Open gottn/ai-job-search-codex → Matched by file structure only.

Works with any agent

ships AGENTS.md, the cross-tool instruction file.

In its own words

README.mdgottn/ai-job-search-codex

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

What this is

A structured workflow that turns Codex 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

  • Codex (CLI, IDE extension, or Codex app)
  • 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.
  • TinyTeX users may need: tlmgr install moderncv fancyhdr microtype fontawesome5 academicons colortbl pgf import needspace titlesec textpos xltxtra xunicode cite setspace realscripts

Quoting 12% of the README. Read the rest on GitHub ↗

Where it came from

adapted from MadsLorentzen/ai-job-search An AI-powered job application framework built on Claude Code. yesterday

What this copy built: +scripts — top-level directories this copy added on top of the original.

See the whole ai-job-search family — 125 entries →

Read from the repository's git tree on 2026-08-17.