career-ops is an open-source, AI-powered job search system that runs in the user's local AI coding CLI, positioned as a "local-first, CLI-agnostic, MIT-licensed" job search agent. It was created by Santiago Fernández de Valderrama Aparicio during a real 2026 job search—during which 740 positions were evaluated, 68 applications were submitted, 12 interviews were obtained, and 1 offer was received.
Purpose career-ops is designed to help job seekers shift from passively submitting applications to actively screening positions. It turns an AI coding CLI into a job search agent, used to evaluate whether a position is worth applying to, generate tailored resumes, draft application answers, and track the entire application process. The official slogan is "Stop guessing, start choosing."
Main capabilities
- Job evaluation: Uses a five-dimension scoring rubric plus an overall global score to rate job listings and the user's resume on a 1-5 scale.
- Resume generation: Generates ATS PDF resumes optimized for a specific position.
- Application answer drafting: For open-ended questions in Greenhouse, Ashby, and Lever forms (such as "Why this role?" and "Describe a project"), it reads the form, drafts answers based on the resume and job description, and returns text that can be pasted directly. Users edit and submit on their own; the assistant does not click on their behalf.
- Job scanning: Preconfigured scrapers can check more than 150 job sources on demand (including Greenhouse, Ashby, and Lever) without consuming API tokens. Running /career-ops scan produces a ranked list within minutes.
- Application tracking: Tracks the application process through a Go-based terminal dashboard.
How to use career-ops requires an AI coding CLI as its engine, supports Claude Code, OpenCode, Codex, GitHub Copilot, and others, and is built on the Open Agent Skill Standard. Users run it on their own machines, with data fully localized: no cloud, no telemetry, no account. Official command examples are provided: /career-ops scan is used to scan jobs, and /career-ops apply is used to read application forms and draft answers.
Use cases Suitable for job seekers familiar with the terminal and AI coding CLIs, especially those who want to evaluate positions in bulk, reduce manual searching, generatetailored resumes, and track application progress. It is officially described as "permanently free for candidates," with the only cost being the AI coding CLI the user has already paid for.
Limitations and notes career-ops requires users to prepare an AI coding CLI themselves as the runtime engine. It does not submit applications on the user's behalf; it only provides drafting and evaluation. All processing is done locally and does not rely on cloud services. Regarding the complete list of supported CLIs, installation steps, details of the scoring method, ways to participate in the community, and more, the official text provides some information, but more complete installation commands and configuration details are not yet available.
