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Career-Ops | AI-powered job search system built on Claude Code


Career-Ops
Career-Ops

Introduction

Career-Ops is a sophisticated open-source job search automation pipeline designed to run on Claude Code. It transforms the AI agent into a full ‘command center’ for career management, replacing manual spreadsheets and repetitive tasks with an automated system. Instead of simply generating resumes, Career-Ops provides a multi-stage pipeline that evaluates job offers against your unique profile using a weighted scoring system, generates ATS-optimized PDFs, and tracks every application through a dedicated terminal-based dashboard (TUI). It is specifically built for high-intent applications, focusing on quality and fit rather than volume spamming.

Use Cases

  • Automated Job Evaluation
    Paste a job description URL to get an immediate A-F score based on 10 weighted dimensions like CV match, compensation alignment, and career level strategy.
  • ATS-Optimized CV Generation
    Automatically generate tailored, keyword-injected resumes in PDF format that are customized for each specific job description while maintaining professional design.
  • Automated Portal Scanning
    Configure the system to scan job portals of 45+ top-tier tech companies (e.g., Anthropic, OpenAI, n8n) and major boards (Greenhouse, Ashby, Lever) for new matching roles.
  • Behavioral Interview Preparation
    Build a persistent ‘Story Bank’ that accumulates STAR+Reflection stories across all evaluations to help you answer any behavioral interview question.
  • Salary & Offer Negotiation
    Access specialized negotiation scripts and frameworks for geographic discount pushback, competing offer leverage, and salary discussions.

Features & Benefits

  • 14 Specialized Skill Modes
    Includes dedicated modes for scanning, batch processing, deep company research, interview prep, and LinkedIn outreach.
  • Go-Powered Terminal UI (TUI)
    A high-performance terminal dashboard to browse, filter, and sort your application pipeline with a Catppuccin-themed interface.
  • Batch Processing Architecture
    Utilizes `claude -p` workers to evaluate 10+ job offers in parallel, significantly accelerating the research phase of a job search.
  • Multi-Portal Web Scraping
    Uses Playwright and Puppeteer to navigate and extract data from major ATS platforms and individual company career pages.
  • Pipeline Integrity Engine
    Automated tools for merging, deduplicating, and normalizing application statuses to ensure your tracking data remains a single source of truth.

Pros

  • High Focus on ‘Fit’
    Encourages a high-quality application strategy by scoring roles before you apply, helping you avoid wasting time on low-fit opportunities.
  • Agent-Editable Configuration
    The system is designed so that Claude itself can modify the scoring weights, archetypes, and portal lists based on your natural language instructions.
  • Developer-Centric Stack
    Built with modern tools like Node.js, Go, and Playwright, making it highly customizable for engineers and tech-savvy professionals.

Cons

  • Requires Claude Code
    The system is specifically architecturalized to run on Anthropic’s Claude Code CLI, making it less accessible for users who prefer standard web-based chatbots.
  • Technical Setup Barrier
    Setting up the local environment (Node, Go, Playwright) and configuring the YAML profiles requires a certain level of technical comfort.

Tutorial

None

Pricing


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