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recursus-careers

OpenCnid

RLM-powered career intelligence and application operations, based on santifer/career-ops.

Open OpenCnid/recursus-careers → Matched by file structure only.

Works with any agent

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

In its own words

README.mdOpenCnid/recursus-careers

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 just gave candidates AI to choose companies. Now it's open source.

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

Also runs on any agent-skill-standard CLI. See Supported CLIs.

What Is This

career-ops (career-ops.org, also known as careerops) 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 into a structured report -- blocks A through H, with a global 1-5 score reached by holistic judgement across five dimensions rather than an arithmetic formula. Block G is a separate posting-legitimacy assessment that never affects the score; block H is drafted only at 4.5 and above
  • 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
  • Researches companies and finds the right person to contact -- applications get you in the queue; research gets you a conversation

Quoting 10% of the README. Read the rest on GitHub ↗

Where it came from

adapted from 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

What this copy built: +scripts — top-level directories this copy added on top of the original.

See the whole career-ops family — 317 entries →

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