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翻訳待ち
The job search that runs on your machine. AI job application framework built on Claude Code: evaluate postings, tailor CVs, write cover letters, prep interviews. Fork it and own it.
翻訳待ち
生産性Python · TypeScriptGitHub @ai-job-search-dev自分でインストール所有者未確認
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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.Read the full README ↗[!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.
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.
A structured workflow that turns Claude Code into a full-stack job application assistant. Six commands carry you from an empty profile to a tracked result:
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.
🎥 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).
| Claude Code | The CLI. No free tier: a Claude Pro/Max/Team subscription or Anthropic API credits (pay-per-token, usually cheaper for occasional use). |
| Python 3.10+ | For the tools in tools/. |
| Bun | Runs the job search CLI tools. |
| LaTeX | A distribution with lualatex and xelatex: TeX Live, MacTeX, TinyTeX, or MiKTeX. |
| pypdf (optional) | pip install pypdf for /apply's ATS parseability check. |
AGENTS.md - the portal search skills work there out of the box, and community forks adapt the full workflow.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.pypdf is BSD-licensed and needs no Poppler. 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.For your own job search, start from a private copy:
gh repo clone ai-job-search-dev/ai-job-search
cd ai-job-search
git remote rename origin upstream
gh repo create ai-job-search --private --source=. --remote=origin --push
gh repo set-default <your-github-username>/ai-job-search
To contribute changes back, fork instead:
gh repo fork ai-job-search-dev/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. Fork only to contribute. Updates work the same way from a private copy; see SETUP.md section 8.
python3 tools/install_portal_clis.py # Windows: python tools\install_portal_clis.py
It runs bun install in every portal CLI under .agents/skills/*/cli/ - discovered, not listed, so a portal you add with /add-portal or copy from another fork is included on a fresh clone. Every install runs with --ignore-scripts, and a CLI whose package.json declares an install-time lifecycle script, trustedDependencies or workspaces, or that has a bunfig.toml or .npmrc beside it, is skipped and reported rather than run. --dry-run shows what it would install.
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.
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.
/scrape
This is the beginning of the README. Read the rest at the original. Read the full README ↗