ai-job-search

I came across **ai-job-search** (GitHub trending) and it’s exactly the kind of “make it work end-to-end” tooling I like: a job-search workflow you can run locally rather than a one-off prompt.

The core idea is an AI job application agent that takes a job posting and then produces the artifacts you’d normally assemble manually—CV adjustments, a cover letter, and interview prep—using Claude Code as the automation layer. The author positions it as something you can **fork and own**, which matches how I’d approach productionizing a workflow: treat it as a starting point, then wire in your preferred resume template, tone rules, and evaluation rubric.

When I’d personally use this: if I’m applying for roles in a tight window (e.g., 1–2 weeks) and I want consistent output quality across many postings without spending an evening editing the same sections repeatedly. The “runs on your machine” angle matters here too—less account juggling, fewer copy/paste steps, and easier iteration on the prompt/agent logic.

If you click in, the first thing I’d check is where the workflow gets its input (posting source / file format) and which entry point triggers each step. Then I’d scan the config/flags for:

- what it extracts from a posting (skills, requirements, seniority) - how it decides whether to apply vs. skip - where templates live for CV and cover letter output - how you plug in your own resume/interview style

Overall: a practical agent-template repo worth studying if you’re building your own solo-dev “application copilot” around Claude Code.