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Career-Ops on Claude

Career-Ops on Claude

An AI-powered Job Search System built on Claude Code

Website github.com
Overview

What it is

Career-Ops turns Claude Code into an AI job search pipeline. 12 modes, A-F scoring across 10 dimensions, ATS-optimized CVs per listing, batch processing of 122 URLs in parallel. 631 evaluations, 68 apps sent. Open source, 9.1K GitHub stars.

Intent

I need it when

Generate tailored, ATS-optimized resumes for each job application

Career-Ops automatically generates keyword-injected PDFs customized per job description using Space Grotesk and DM Sans design, adapting the user's CV to match specific role requirements without manual editing for each application.

Evaluate job opportunities systematically against personal fit and career goals

Career-Ops provides structured A-F scoring across 10 weighted dimensions (role summary, CV match, level strategy, compensation research, personalization, interview prep), helping users filter hundreds of offers to identify the few worth pursuing rather than spray-and-pray applications.

Prepare for interviews with personalized behavioral question responses

Career-Ops accumulates STAR+Reflection stories across evaluations, building a story bank of 5-10 master narratives that answer any behavioral question, plus generates negotiation scripts and geographic discount pushback frameworks for offer discussions.

Maintain organized tracking and pipeline management for job applications

Career-Ops provides a terminal UI dashboard to browse, filter, and sort applications with automated merge, dedup, and integrity checks, storing all data in a single source of truth (tracker.tsv) with batch processing for parallel evaluation of 10+ offers.

Automate job discovery across multiple career portals and company pages

Career-Ops scans 45+ pre-configured companies and custom portals (Greenhouse, Ashby, Lever, Wellfound) automatically using Playwright, consolidating opportunities from disparate sources into a single pipeline with deduplication and status normalization.

Drop

Not a fit when

  • User prefers passive job search without active evaluation and filtering of opportunities
  • User lacks access to Claude Code, Gemini CLI, or compatible AI coding environments
  • User wants automated job application submission rather than human-in-the-loop decision making
  • User seeks a traditional ATS or recruiter matching service instead of self-directed evaluation
  • User has no existing CV or career context to feed the system for personalization
Commercials

Pricing

Free and open source