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ai-job-search-dev/ai-job-search

⭐ 70627 Python added to this list on 2026-10-26 repository created 2026-03-18

AI Job Search turns Claude Code into a structured, multi-step job application assistant that runs locally on the user's machine. After an initial `/setup` step builds a profile from the user's CV, LinkedIn export and other career documents, the workflow exposes a `/scrape` command that searches multiple job portals (built around the Danish market but designed to be swapped for other regions), deduplicates postings, and ranks them by fit against the user's profile; a `/rank` command can batch-score large result sets before the user picks one to pursue. The `/apply` command then runs a drafter-reviewer pipeline: it evaluates job fit against structured criteria, drafts a tailored CV and cover letter in LaTeX, and has a separate reviewer agent critique and revise the output before producing final documents, with an optional ATS-parseability check on the generated PDF. The project also includes an `/interview` workflow for interview preparation. It is explicitly designed so the core evaluation-and-drafting pipeline is language- and country-agnostic, while the job-portal search skills are regional plugins that can be replaced. It requires Python, Bun for the portal-search CLIs, and a LaTeX distribution to compile the CV and cover letter, alongside an existing Claude Code (or compatible agent, via a documented AGENTS.md path) subscription or API credits. Because `/setup` writes personal data such as name, contact details and salary expectations into tracked files, the author recommends using a private repository rather than a public fork unless the user intends to contribute changes back. It is aimed at individual job seekers who want to automate the repetitive parts of a job search while keeping full control of their own data and documents.

https://github.com/ai-job-search-dev/ai-job-search

claude-codejob-searchautomationcv-generationcover-lettercareer

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