Career-Ops

Career-Ops

AI-powered job search operations for candidates who want a disciplined local pipeline rather than spray-and-pray applications.

What you can do

• Evaluate roles: Score job descriptions across fit, gaps, level, compensation, and strategy.
• Tailor CVs: Generate ATS-friendly PDFs from a local markdown CV and role-specific evidence.
• Scan portals: Monitor configured company and job-board sources such as Greenhouse, Ashby, Lever, Wellfound, and company pages.
• Batch process: Evaluate multiple listings and keep results resumable.
• Prepare interviews: Build STAR+Reflection stories, company research, outreach drafts, and negotiation scripts.
• Track applications: Keep a local source of truth with deduplication, status normalization, and a Go terminal dashboard.

Prerequisites

$dest = Join-Path $env:USERPROFILE "Developer\career-ops"
git clone https://github.com/santifer/career-ops.git $dest
cd $dest
npm install
npx playwright install chromium
npm run doctor

Then copy the example profile and portal templates, add cv.md, and customize the system with your target roles and constraints.

Example Requests

• "Evaluate this job URL with Career-Ops and tell me whether it is worth applying."
• "Tailor my CV PDF for this role, but keep every claim truthful."
• "Scan my configured AI company portals and add promising roles to the tracker."
• "Create interview prep and negotiation notes for this opportunity."

Career-Ops keeps humans in the loop: review all generated content before applying, sending outreach, or changing real application status.