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by santifer · Codex Skill · ★ 65.3k
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Featured in: AI Job Hunting & Resume Skills
Career-Ops :gb: English | :es: Español AI-powered job search pipeline built on Claude Code. Evaluate offers, generate tailored CVs, scan portals, and track everything -- powered by AI agents. What Is This Career-Ops turns Claude Code into a full job search command center. Instead of manually tracking applications in a spreadsheet, you get an AI-powered pipeline that: Evaluates offers with a structured A-F scoring system (10 weighted dimensions) 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 Important: This is NOT a spray-and-pray tool. The whole point is to apply only where there's a real match -- for your sake
| Stars | 65,339 |
| Forks | 12,698 |
| Language | JavaScript |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 65.2525642626722/100 |
| Open Issues | 335 |
| Last Updated | 2026-08-18 |
| Created | 2026-04-04 |
| Platforms | claude-code, cli, codex, node |
| Est. Tokens | ~16k |
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career-ops is Open-source AI job search: scan job portals, evaluate listings with a structured A-F rubric into a 1.0-5.0 score, tailor your CV, track applications — runs locally in your AI coding CLI (Claude Code, . It is categorized as a Codex Skill with 65.3k GitHub stars.
career-ops is primarily written in JavaScript. It covers topics such as ai, ai-agent, anthropic.
You can find installation instructions and usage details in the career-ops GitHub repository at github.com/santifer/career-ops. The project has 65.3k stars and 12698 forks, indicating an active community.
career-ops is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to career-ops on Agent Skills Hub include ai-job-search, Agent-Reach, oh-my-pi. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.