career-ops
Reduces wasted application effort by pre-screening job matches against CV fit and automating resume/cover letter tailoring, saving engineering teams and indi…
Open-source AI job search agent and job finder: scan job boards, score each job 1-5 against your CV before you apply, tailor an ATS-friendly resume and cover letter, get interview prep and a job application tracker. It helps you fill in each application; you press Submit. Runs locally in your AI coding CLI (Claude Code, Codex, OpenCode and more).
- Ask Claude to scan job boards and score matching positions against your CV automatically.
- Generate ATS-friendly resume and cover letter versions tailored to specific job postings.
- Get interview preparation materials and track all your job applications in one place.
Reduces wasted application effort by pre-screening job matches against CV fit and automating resume/cover letter tailoring, saving engineering teams and individual IC time while improving placement quality.
Engineering candidates and IC-to-management transitions seeking data-driven job matching and streamlined application workflows.
https://github.com/career-ops-hq/career-ops
By career-ops-hq
How to Get It
claude plugins install career-ops-hq/career-ops
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
After installing, paste this into Claude:
Scan job boards and score matching positions against my CV automatically
Trust Signals Auto-scanned
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 73,862 GitHub stars; contributors unknown; last commit 0d ago; license MIT.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
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Evaluation
Scored from trust signals (evidence-eval-v1): 73,862 GitHub stars; contributors unknown; last commit 0d ago; license MIT.