career-ops: ATS-Optimized PDF Resumes from Just a URL
santifer/career-ops
About the project
By entering only a job posting URL, the AI cross-analyzes your resume and the job description to evaluate fit and generate an ATS-optimized PDF resume. It establishes application strategies through context-based reasoning rather than simple keyword matching, and automatically scans major job portals like Greenhouse and Ashby to capture new opportunities.
Unlike traditional spreadsheet-based management, it processes 10+ job postings in parallel using sub-agents. A structured evaluation framework from A to G filters out fraudulent postings and ghost jobs, and is designed to boldly exclude opportunities scoring below 4.0 to reduce wasted time. All data is tracked from a single source with integrity checks.
Beyond resume writing, it covers company research and interview preparation. It builds an interview story bank based on the STAR+R framework and provides negotiation scripts and contract review tools. Integration with external tools like Gmail or Notion is opt-in, maintaining a human-in-the-loop structure where the user always decides whether to make the final submission.
santifer/career-ops
Open-source AI job search: scan job portals, evaluate listings into a structured A-H report with a global 1-5 score, tailor your CV, track applications — runs locally in your AI coding CLI (Claude Code, Codex, OpenCode, Antigravity…)
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