Project overview
Job Search Ops coordinates a five-phase job search: document intake, a structured career-profile interview, a master CV, per-posting fit and tailored PDF documents, then interview coaching with a printable cheatsheet. It keeps applications consistent through a database record, scores capability and preference separately, and preserves honest gap wording. It never fabricates experience, auto-applies, scrapes job boards, or sends applications.
Repository facts
- Primary language
- Python
- License
- MIT
- Repository updated
- Jun 18, 2026
- Default branch
- main
Resource types
General skill
Use cases
Productivity and officeDocument productivity
Platforms
Claude Code, Codex, and more
Runtime
LocalSandboxed