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:
pip install pypdf for /apply's ATS parseability check (BSD; no Poppler required). Poppler pdftotext remains a fallback (macOS: brew install poppler, Debian/Ubuntu: apt install poppler-utils, Windows: choco install poppler). If both are missing, the check degrades 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.
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 embedded in them and fetches no links from their body), but agentic defenses are instruction-level, not a sandbox - on an unfamiliar job board, skim what was fetched and written before you hit send. Details in SECURITY.md.
Other commands
/setup, /scrape, and /apply form the core workflow. Ten more commands extend it once your profile is in place:
/interview preps you for a scheduled interview on a tracked application. It builds a stage-specific prep pack from the application's archive (the exact posting, the CV and cover letter the interviewer actually read, feedback recorded from earlier rounds), researches the company and interviewers with a verify-before-use rule, maps likely questions to your STAR examples, and offers a mock interview following the roleplay protocol in 07-interview-prep.md. Gaps get honest bridge answers, never invented experience./outcome records what happened to an application - interview stages, offers, rejections, silence. It archives the submitted CV, cover letter, and posting text into documents/applications/<company>_<role>/, keeps outcome.md in the format /setup Path A parses, and updates the tracker. It also owns the stretch before there is an outcome to record: /outcome followup surfaces open applications that have gone quiet (default 10 days), drafts a short channel-appropriate follow-up in your writing style using only claims from the materials you already submitted (drafts only, never sends; at most twice per application), and offers a thank-you note in the same turn an interview stage is recorded. Once a few applications resolve, it points you back to /setup to calibrate the fit framework from what actually got interviews./notion-sync publishes a one-way, read-only view of the pipeline into a Notion database via the official Notion MCP server (OAuth, no API keys) - one row per ranked job plus every tracked application, with a write-once briefing page per row. The repo files stay the system of record: nothing syncs back, and documents sync as filenames only. Complements /html-report: that is the deep offline dashboard you regenerate at your desk; this is the glanceable live view from anywhere Notion runs (desktop, web, phone)./gmail-sync reads your Gmail (via the Gmail connector) for status signals on your open applications - interview invites, assessment links, offers, rejections - and proposes them as a batch for you to approve before anything is written to the tracker or outcome.md, citing the source email on every proposed change. Offers stop short of proposing hired/offer_declined since that's your call; conflicting or unmatched signals get flagged for a manual /outcome pass instead of guessed./rank bridges /scrape and /apply: it batch-scores all newly scraped postings against the fit framework (parallel agents fetch each posting and score the five evaluation dimensions) and returns a ranked shortlist with honest per-job strengths and gaps. Deal-breakers veto, deadlines get urgency flags, dead postings get marked expired. Pick a number and it hands off to the full /apply workflow./expand enriches your profile by scanning public sources you've already linked in it (GitHub repos, portfolio site, Kaggle, Google Scholar) and looking up syllabi for named courses and certifications. Discovered competencies are added to your profile with a source tag. Useful right after /setup to surface skills that documents alone don't make explicit./upskill analyzes the gap between your profile, your tracked job postings, and your ranked-but-untracked postings (/rank's recorded gaps in seen_jobs.json) — or a single posting via /upskill <URL>. Produces a prioritized heatmap of skill gaps and a learning plan with web-searched study resources and time estimates. Useful for career planning between applications./html-report generates a self-contained HTML dashboard from job_search_tracker.csv and the application archives — stat cards, status/sector/channel/funnel charts (inline SVG, no external dependencies), and a filterable applications table. Opens directly in a browser, fully offline. Re-run it any time after /apply or /outcome adds new entries./add-template registers your own CV or cover letter template (LaTeX, Typst, or another toolchain) in place of the stock ones. It captures the template's instructions (source extension, compile command, fonts, style rules, page limit), runs a mandatory test compile, and wires the template into /apply. See Custom templates below./add-portal generates a job-portal search skill for a job board in your market. It investigates the portal (search URL pattern, result structure, access rules), scaffolds the CLI skill from the same structure as the shipped ones, and test-runs a live query before registering. See Job search tools below.
/reset is also available, see Starting over below.
File structure
ai-job-search/
├── CLAUDE.md # Main candidate profile + workflow rules
├── .claude/
│ ├── commands/
│ │ ├── apply.md # /apply workflow (drafter-reviewer)
│ │ ├── setup.md # /setup onboarding (documents folder, CV import, or interview)
│ │ ├── expand.md # /expand competency enrichment from documents and online presence
│ │ ├── add-template.md # /add-template register custom templates (LaTeX, Typst, ...)
│ │ ├── add-portal.md # /add-portal generate a job-portal search skill for your market
│ │ ├── rank.md # /rank triage scraped jobs into a ranked shortlist
│ │ ├── outcome.md # /outcome record application results, archive materials
│ │ ├── gmail-sync.md # /gmail-sync auto-detect application status from Gmail
│ │ ├── interview.md # /interview stage-specific prep pack + mock interview
│ │ ├── html-report.md # /html-report generate application tracker dashboard
│ │ ├── notion-sync.md # /notion-sync one-way pipeline view in a Notion database
│ │ └── reset.md # /reset wipe profile data or documents folder
│ ├── skills/
│ │ ├── job-application-assistant/ # Core application skill
│ │ │ ├── SKILL.md # Skill definition
│ │ │ ├── 01-candidate-profile.md # Your education, experience, skills
│ │ │ ├── 02-behavioral-profile.md# PI/DISC/personality assessment
│ │ │ ├── 03-writing-style.md # Tone, structure, do's and don'ts
│ │ │ ├── 04-job-evaluation.md # Scoring framework for job fit
│ │ │ ├── 05-cv-templates.md # LaTeX CV structure + tailoring rules
│ │ │ ├── 06-cover-letter-templates.md # LaTeX cover letter templates
│ │ │ └── 07-interview-prep.md # STAR examples + interview framework
│ │ ├── job-scraper/ # Job search orchestration
│ │ └── upskill/ # /upskill skill gap analysis and learning plan
│ └── settings.json # Claude Code permissions (shared, scoped)
├── .agents/skills/ # Job portal CLI tools
│ ├── jobbank-search/ # Akademikernes Jobbank (Denmark)
│ ├── jobdanmark-search/ # Jobdanmark.dk (Denmark)
│ ├── jobindex-search/ # Jobindex.dk (Denmark)
│ ├── jobnet-search/ # Jobnet.dk (Denmark, government portal)
│ ├── linkedin-search/ # LinkedIn public job listings (country-agnostic)
│ └── freehire-search/ # freehire.me tech job aggregator (multi-market, REST API)
├── cv/
│ └── main_example.tex # moderncv LaTeX template
├── cover_letters/
│ ├── cover.cls # Custom cover letter LaTeX class
│ ├── cover_example.tex # Example cover letter (structural reference + CI smoke test)
│ └── OpenFonts/ # Lato + Raleway fonts
├── templates/ # Custom templates registered via /add-template
│ └── README.md # Folder layout instructions
├── documents/ # Career source materials for /setup Path A and /expand
│ ├── README.md # Folder layout instructions
│ ├── cv/ # Master CV (PDF or .tex)
│ ├── linkedin/ # LinkedIn profile export (PDF)
│ ├── diplomas/ # Degree certificates and transcripts
│ ├── references/ # Reference letters
│ └── applications/ # Past application records (<company>_<role>/)
├── .github/workflows/ci.yml # CI: LaTeX smoke compiles, skill lint, CLI typechecks
├── salary_lookup.py # Salary benchmarking tool (BYO data)
├── tools/
│ ├── check_framework_version.py # CI check: framework_version bumped when skill files change
│ ├── check_upstream_updates.py # Preview which personalized files an upstream update touches
│ ├── convert_salary_excel.py # Convert salary Excel to JSON
│ ├── lint_skills.py # CI lint for skills, commands, settings.json
│ ├── robots_check.py # Gate the browser-header retry against robots.txt
│ ├── security_guards.py # CI guards: permission allowlist, gitignore rules, manifests
│ ├── upstream_triage.py # Sort upstream commits into worth-reviewing vs probably-skip
│ ├── verify_layout.py # Measure a compiled PDF's page layout (holes, orphans, footer collisions)
│ ├── verify_pdf.py # Verify a compiled PDF's page count and extractable text
│ └── README_SALARY_TOOL.md # Salary tool setup instructions
├── job_scraper/ # Scraper state (seen jobs, results)
├── gmail_sync/ # /gmail-sync state (processed message IDs, last sync date)
├── upskill/ # /upskill report output (markdown reports per run)
├── job_search_tracker.csv # Application tracking spreadsheet
└── SETUP.md # Detailed setup guide
How /apply works
The /apply command runs a drafter-reviewer workflow with mandatory PDF compilation:
- Parse the job posting (URL or text)
- Evaluate fit against your profile (skills, experience, culture, location, career alignment)
- Draft a tailored CV and cover letter in LaTeX
- Spawn a reviewer agent that researches the company and critiques the drafts
- Revise based on the reviewer's feedback
- Compile and inspect both PDFs: lualatex for the CV, xelatex for the cover letter. Claude reads the rendered pages and iterates on the LaTeX until the CV is exactly 2 pages with no orphaned entry titles, and the cover letter is exactly 1 page with the signature visible and fonts consistent.
- ATS-check the CV: extract the PDF's text layer (
pdftotext, optional dependency) and verify it the way an ATS parser sees it — contact details present as literal text, no garbled glyphs, sane reading order — then score the posting's keyword coverage against the extraction. Keywords the profile genuinely supports get added; genuine gaps stay visible, never stuffed.
-
An AI-powered job application framework built on top of Claude Code. You fork it, fill in your profile, and Claude evaluates job postings, tailors your CV, writes cover letters, and preps you for interviews, all running locally on your own machine.