career-ops
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, Codex, OpenCode, Antigravity…)
career-ops is an open-source agent skill that transforms AI coding CLIs into a comprehensive job search automation system. It evaluates job listings using a structured A-F rubric that produces scores from 1.0 to 5.0, generates ATS-optimized CVs tailored to each role, scans major job portals automatically, and tracks applications in a unified pipeline. Originally built by a job seeker who used it to evaluate 740+ listings and land a Head of Applied AI role, it runs locally in Claude Code, Codex, OpenCode, Antigravity CLI, and other compatible agent environments.
Key Features
Use Cases
- 01Filtering hundreds of job postings to find the few high-quality opportunities worth applying to, avoiding spray-and-pray approaches
- 02Generating tailored resumes for each job application with ATS-friendly formatting and role-specific keyword optimization
- 03Automating recurring scans of target companies and job boards to catch new postings without manual checking
- 04Building a reusable interview story bank with STAR+Reflection examples that answer behavioral questions across multiple interviews
- 05Researching companies to understand their AI strategy, culture, and hiring context before reaching out to decision-makers
- 06Tracking application status across multiple roles and analyzing rejection patterns or advance rates by ATS channel
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career-ops — FAQ
What is career-ops?+
career-ops is an agent skill that runs inside AI coding CLIs like Claude Code, Codex, OpenCode, and Antigravity CLI. It automates job search tasks including evaluating listings with a 1.0–5.0 scoring rubric, generating customized CVs, scanning job portals, and tracking applications.
How do I install career-ops?+
Run npx @santifer/career-ops init from your terminal to bootstrap a new project directory, then cd into it and launch your AI coding CLI (claude, codex, opencode, agy, or grok). The skill will guide you through setup on first launch, or you can manually clone the GitHub repo and run npm install.
Which AI clients work with career-ops?+
career-ops supports Claude Code, Codex, OpenCode, Antigravity CLI, Grok Build CLI, Qwen, Kimi, GitHub Copilot, and any AI coding environment that implements the agent-skill-standard with slash commands or mode invocation.
Do I need API keys or paid services?+
You need Node.js and Playwright (installed automatically). The skill works with your AI CLI's existing model access; no separate API keys are required for core features. Optional plugins (Gmail, Notion, Apify) require their own credentials but are disabled by default.
Is career-ops free to use?+
Yes, career-ops is open-source and MIT-licensed. Runtime costs depend on your AI CLI's model usage; the docs include a budget guide and instructions for running on free tiers like Antigravity CLI or using local models.
Does career-ops automatically submit applications?+
No. career-ops is human-in-the-loop by design—it evaluates, scores, and drafts materials, but you always review and submit manually. The system never clicks submit buttons or sends emails on your behalf.
How do I install career-ops?+
Open the source repository on GitHub and follow its README. career-ops is a skill — MCP Agents Market links you directly to the official repo.
Is career-ops free?+
career-ops is an open-source project hosted on GitHub. Check the repository for its license and any usage requirements.