AI Job Search

The job search that runs on your machine.

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.

Note: This is an independent open-source project and is not affiliated with, endorsed by, sponsored by, or maintained by Anthropic. Anthropic and Claude Code are referenced only to describe the toolchain this workflow uses.

This project has no affiliated cryptocurrency, token, or paid sponsorship program. Anything claiming otherwise is unauthorized and should be treated as a scam. The only ways to support the project are the Ko-fi link below and contributing on GitHub.

Does it actually work?

I'm a geophysicist by training. When my position was cut in late 2025, I built this framework to run my own job search - the same /scrape, /apply, and /interview workflow in this repo, used weekly, on my own career. I was upfront about it with every employer I spoke to, and instead of counting against me, it usually sparked a genuine technical conversation.

Sixty-nine tailored applications, twenty first interviews, and one signed contract later, I started as an AI engineer in June 2026. People kept asking whether this actually works. It got me hired. Now it's yours.

The longer version, including the full application funnel, is on LinkedIn.

Did this save you a Sunday of cover-letter writing? Consider a coffee.
Did it land you the job? Maybe two. ☕

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.

/setup          /scrape              /apply <url>
  |                |                     |
  v                v                     v
Fill in        Search job           Evaluate fit
your profile   portals              Score & recommend
  |                |                     |
  v                v                     v
Profile        Present matches      Draft CV + Cover Letter
files ready    with fit ratings     (LaTeX, tailored)
                   |                     |
                   v                     v
               Pick a match         Reviewer agent critiques
               -> /apply            -> Revise -> Final output

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

Prerequisites

• Claude Code (CLI). Using a different agent tool (Codex, Antigravity, Gemini CLI)? Start at AGENTS.md - the portal search skills work there out of the box, and community forks adapt the full workflow.
• Python 3.10+
• Bun (for job search CLI tools)
• LaTeX distribution with lualatex and xelatex: TeX Live, MacTeX, TinyTeX, 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. If using a minimal TeX install such as TinyTeX or BasicTeX, install the extra packages listed in SETUP.md.
• Optional: pdftotext from poppler (macOS: brew install poppler, Debian/Ubuntu: apt install poppler-utils, Windows: choco install poppler) — used by /apply's ATS parseability check on the compiled CV. If missing, the check degrades gracefully to a visual keyword review.

Quick start

🎥 Prefer to see it in action first? The Next New Thing did a hands-on walkthrough of how the workflow is actually used, from setup to a finished application (recorded August 2026 - commands may have evolved since).

1. Fork and clone

gh repo fork MadsLorentzen/ai-job-search --clone
cd ai-job-search

[!IMPORTANT] A fork of this repo is always public — GitHub does not allow private forks of public repositories — and /setup (step 3 below) writes your personal data (name, contact details, employment history, salary expectations) into tracked files. If this copy is for your own job search rather than for contributing changes back, use a private repository with this repo as upstream instead — the two-minute recipe is in SETUP.md section 8, and every update workflow works identically. Fork only to contribute.

2. Install job search tools

PowerShell:

$tools = @("jobbank-search", "jobdanmark-search", "jobindex-search", "jobnet-search", "linkedin-search", "freehire-search")
foreach ($tool in $tools) {
  Push-Location ".agents/skills/$tool/cli"
  bun install
  Pop-Location
}

Bash / zsh / Git Bash:

for tool in jobbank-search jobdanmark-search jobindex-search jobnet-search linkedin-search freehire-search; do
  (cd .agents/skills/$tool/cli && bun install)
done

For linkedin-search and freehire-search the install is optional: both have zero runtime dependencies and run with plain bun; bun install only pulls TypeScript dev types.

3. Set up your profile

claude
# Then inside Claude Code:
/setup

/setup offers three paths: read your documents/ folder if you have one populated (CV PDF, LinkedIn export, diplomas, reference letters, past applications), import a single CV pasted in chat, or walk through an interview. It auto-detects what you have and asks. Documents-folder mode is idempotent and safe to re-run as you add more material; see documents/README.md for the layout.

4. Search for jobs

/scrape

This searches multiple job portals for positions matching your profile, deduplicates results, and presents them sorted by fit. Pick a match to run /apply on it directly — or, when a scrape returns more jobs than you want to eyeball, run /rank to batch-score them all against the fit framework and get a ranked shortlist first.

5. Apply to a job

/apply https://jobindex.dk/job/1234567

If the URL can't be fetched (some job portals block automated access), you can paste the job description directly instead:

/apply <paste the full job description here>

This runs the full workflow: evaluate fit, draft CV + cover letter, review with a second agent, revise, and present the final output.

Postings are treated as untrusted input (the workflow follows no instructions embe