Treats job applications like SEO campaigns, complete with keyword research, match scoring, and ATS optimization checklists. You feed it a job posting and your resume, it tells you whether to apply (skip if under 50% match), what tailoring level you need (light/medium/aggressive), and outputs keyword-optimized versions that actually parse through applicant tracking systems. The Resume SEO mental model is surprisingly useful: it maps keyword density, scan time, and content quality directly to resume components. Works with cv-creator for the actual document generation and tracks metrics like ATS pass rate and response rates. Honest about the tradeoffs too, like how aggressive tailoring risks over-optimization. If you're grinding through applications and wondering why nothing gets responses, this systematizes the optimization work most people do inconsistently.
npx skills add https://github.com/erichowens/some_claude_skills --skill job-application-optimizer