# MadsLorentzen/ai-job-search

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.

Repository: https://github.com/MadsLorentzen/ai-job-search
Canonical: https://ross.abutalabs.com/products/ai-job-search
Language: Python
License: MIT
License Family: permissive
Topics: ai, ai-agents, career, claude-code, cover-letter, cv, interview-preparation, job-application, job-hunting, job-search, latex, resume
Last push: 2026-08-26T18:07:41+00:00

## Health v2 (maintenance only)
Score: 81/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 98, longevity 12
- inputs: {"age_days": 168, "days_push": 7, "days_rel": 14, "gap_med": 4.0, "n_releases_24m": 7}
- flags: young
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 36468, forks 12413 (observed 2026-08-28T04:12:00.988941+00:00)

## What it is
An AI-powered job application framework built on Claude Code that runs locally: it evaluates job postings, tailors CVs, writes cover letters, and prepares interview answers from your personal profile. It is a forkable, self-hosted workflow with slash-command skills like /setup, /scrape, /apply, and /interview.

## Use cases
- tailor my resume to a job posting with ai
- write a cover letter for a job application
- evaluate whether a job posting fits my profile
- prepare for a job interview with ai
- scrape job listings from job boards
- automate my job search workflow locally

## When to choose
- you use Claude Code and want a structured, forkable job-application pipeline
- you want your career data and documents to stay on your own machine
- you want to adapt the workflow to your local job boards and language

## When to avoid
- you want a hosted, turnkey job-application SaaS with no setup
- you don't have access to Claude Code or a compatible LLM CLI
- you need out-of-the-box support for job portals outside the Danish market without writing your own skills

## Facets
- artifact type: framework
- maturity: active
- function: agent-framework, llm-inference, prompt-engineering, web-scraping, workflow-automation, pdf, templating
- domain: artificial-intelligence, large-language-models, developer-tools, hr
- platform: python, cli, cross-platform, self-hosted
- tags: claude-code, job-search, resume-tailoring, cover-letter, interview-preparation, latex, career, local-first, ai-agents, automation

## Member repositories
- MadsLorentzen/ai-job-search (main) score 81

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:12:00.988941+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T16:26:11.331436+00:00, confidence not recorded.
  - readme: https://github.com/MadsLorentzen/ai-job-search (fetched 2026-08-28T04:12:00.988941+00:00, sha 20113bcbae2e)
- Data as of 2026-08-30T08:39:29.467469+00:00.
