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career-ops-db

iamadarsha

Fork/reference repo for studying agentic job-search systems and candidate CRM workflows.

Open iamadarsha/career-ops-db → Matched by file structure only.

Works with any agent

ships AGENTS.md, the cross-tool instruction file.

In its own words

README.mdiamadarsha/career-ops-db

Fork note: this is a forked/reference repository for studying agentic job-search systems, candidate CRM design, and resume-generation workflows. Original project credit remains with the upstream maintainers.

Career-Ops

I spent months applying to jobs the hard way. So I engineered the system I wish I had. Companies use AI to filter candidates. I gave candidates AI to choose companies. Now it's open source.

740+ job listings evaluated · 100+ personalized CVs · 1 dream role landed

What Is This

Career-Ops turns any AI coding CLI into a full job search command center. Instead of manually tracking applications in a spreadsheet, you get an AI-powered pipeline that:

  • Evaluates offers with a structured A-F scoring system (10 weighted dimensions)
  • Generates tailored PDFs -- ATS-optimized CVs customized per job description
  • Scans portals automatically (Greenhouse, Ashby, Lever, company pages)
  • Processes in batch -- evaluate 10+ offers in parallel with sub-agents
  • Tracks everything in a single source of truth with integrity checks

Important: This is NOT a spray-and-pray tool. Career-ops is a filter -- it helps you find the few offers worth your time out of hundreds. The system strongly recommends against applying to anything scoring below 4.0/5. Your time is valuable, and so is the recruiter's. Always review before submitting.

Quoting 24% of the README. Read the rest on GitHub ↗

Where it came from

copy of 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, tai today

See the whole career-ops family — 317 entries →

Read from the repository's git tree on 2026-08-17.