The README has always invited users outside Denmark to build equivalents of
the four Danish portal CLI skills, but doing so meant reverse-engineering
.agents/skills/*/cli/ by hand. /add-portal turns that invitation into a
guided workflow:
- Interviews the user for the portal URL, skill name, market/language
(trigger phrases in the local language, like the Danish skills), and a
realistic test query
- Investigates the portal before writing code: search-URL pattern, result
structure (JSON API preferred over HTML), detail-page pattern, robots.txt
and access rules. Auth-walled portals are declined; portals with
restrictive terms get a prominent personal-use-only warning in the
generated SKILL.md (same as linkedin-search)
- Scaffolds from the canonical structure with linkedin-search as the
zero-dependency reference, enforcing the shared portal-skill contract:
search/detail commands, common flags, {meta, results} JSON shape, stderr
JSON errors, backoff on 429/5xx, chunked parsing
- Mandatory live test-run (search + detail + test suite) before registering
- Optionally wires the portal into /scrape via search-queries.md
The generator is country-agnostic; its output is market-specific and stays
in the user's fork, matching the repo policy that upstream remains a
universal template.
Docs: README (commands list, file structure, Job search tools section) and
SETUP.md (CLI install section pointer).
6.6 KiB
Setup Guide
Step-by-step instructions for getting the AI Job Search framework running.
1. Prerequisites
Claude Code
Install Claude Code (Anthropic's CLI for Claude):
npm install -g @anthropic-ai/claude-code
You'll need an Anthropic API key or a Claude Pro/Team subscription. See the Claude Code docs for details.
Python
Python 3.10+ is required for the salary lookup tool. Check with:
python --version
Bun (for job search tools)
The job portal CLIs (four Danish portals plus the country-agnostic LinkedIn tool) are written in TypeScript and run with Bun:
curl -fsSL https://bun.sh/install | bash
LaTeX (for compiling CVs and cover letters)
Install a LaTeX distribution to compile the generated .tex files to PDF:
- Windows: MiKTeX
- macOS: MacTeX
- Linux:
sudo apt install texlive-fullorsudo dnf install texlive-scheme-full
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 for its custom Lato/Raleway fonts.
2. Fork and clone
gh repo fork MadsLorentzen/ai-job-search --clone
cd ai-job-search
Or manually: fork on GitHub, then clone your fork.
3. Install job search CLI dependencies
for tool in jobbank-search jobdanmark-search jobindex-search jobnet-search linkedin-search; do
cd .agents/skills/$tool/cli && bun install && cd ../../../..
done
For linkedin-search the install is optional: it has zero runtime dependencies and runs with plain bun; bun install only pulls TypeScript dev types.
If you're outside Denmark, you can generate an equivalent search skill for your local job board with /add-portal — it scaffolds the same CLI structure for any public portal and test-runs a live query before registering. See the "Job search tools" section in the README.
4. Run the setup interview
Start Claude Code in the repository:
claude
Then run the onboarding:
/setup
Claude will offer three paths:
- Path A (documents folder): Add your CV, LinkedIn export, diplomas, references, or past applications under
documents/. Claude reads and cross-references them before proposing profile updates. This is best when you have several source files. - Path B (single CV import): Share one CV/resume by mentioning the file with
@or pasting the text. Claude extracts it and asks follow-up questions for anything missing. - Path C (interview mode): Answer structured interview questions section by section.
All three paths produce the same result: fully populated profile files.
What gets populated
| File | Content |
|---|---|
CLAUDE.md |
Your full candidate profile |
01-candidate-profile.md |
Structured education, experience, skills |
02-behavioral-profile.md |
Behavioral assessment |
04-job-evaluation.md |
Personalized skill match areas and career goals |
05-cv-templates.md |
Profile statement templates for your background |
07-interview-prep.md |
STAR examples from your experience |
cv/main_example.tex |
Your LaTeX CV with actual details |
search-queries.md |
Job search queries for /scrape |
Re-running setup
You can update specific sections later:
/setup --section skills
/setup --section experience
/setup --section search
The --section search option is especially useful as your priorities evolve. It re-runs the search configuration interview and suggests role types you may not have considered based on your full profile.
5. Optional: Set up salary benchmarking
If you have salary data (from a union, salary survey, Glassdoor, or personal research):
- Option A: Create
salary_data.jsonmanually in the repo root (seetools/README_SALARY_TOOL.mdfor the format) - Option B: Convert from Excel:
pip install openpyxl python tools/convert_salary_excel.py path/to/salary-data.xlsx --source "My Salary Data 2025"
This creates salary_data.json which the /apply workflow uses for salary benchmarking. If you skip this step, salary lookup is simply omitted.
6. Test the workflow
Find a job posting you're interested in, then:
/apply https://jobindex.dk/job/1234567
Or paste the job description directly:
/apply [paste job posting text here]
Claude will:
- Evaluate the fit against your profile
- Ask if you want to proceed
- Draft a tailored CV and cover letter
- Have a reviewer agent critique the drafts
- Revise and present the final output
7. Compile your documents
After /apply creates the LaTeX files:
# Compile CV
cd cv && lualatex main_<company>.tex && cd ..
# Compile cover letter
cd cover_letters && xelatex cover_<company>_<role>.tex && cd ..
These commands apply to the stock templates (moderncv CV, cover.cls cover letter). If you'd rather use your own LaTeX template, run /add-template — it captures the template's compile engine, fonts, style rules, and page limit, test-compiles it, and wires it into /apply. See the "LaTeX templates" section in the README.
Troubleshooting
"salary_data.json not found"
This is expected if you haven't set up salary benchmarking. The /apply workflow skips this step automatically.
Job search CLI tools not working
Make sure Bun is installed and you ran bun install in each CLI directory. The tools require network access to fetch job listings.
LaTeX compilation errors
- CV: uses
lualatex(pdflatex often fails on modern MiKTeX withfontawesome5font-expansion errors; lualatex handles the same sources cleanly) - Cover letter: uses
xelatex(for custom fonts inOpenFonts/fonts/) - Make sure your LaTeX distribution includes the
moderncvpackage
Fonts not found in cover letter
The cover letter template expects fonts in cover_letters/OpenFonts/fonts/. Make sure this directory exists and contains the Lato and Raleway font files.
Stale .claude/settings.local.json from an older clone
Shared Claude Code permissions now live in .claude/settings.json (scoped to bun run and python salary_lookup.py). Earlier versions of this repo committed a broader .claude/settings.local.json that pre-approved Bash(curl:*), Bash(python:*) and Bash(bun:*). If you cloned before that change, git leaves the old file behind in your working copy, and its permissions still apply on top of settings.json. Delete it (or trim it to your own personal overrides):
rm .claude/settings.local.json