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Career Ops

Free

AI-powered job search system built on Claude Code. 14 skill modes, Go dashboard, PDF generation, batch processing.

FreeFree tier
Type
Open Source
Visit Website GitHub (45.1k stars)

About Career Ops

Career Ops is an open-source, MIT-licensed AI-powered job search system that runs locally on your machine inside any AI coding CLI, including Claude Code, OpenCode, Codex, and GitHub Copilot. It evaluates job listings against your CV using a five-dimension rubric (match, north-star alignment, comp, cultural signals, red flags) plus a holistic global score (1.0–5.0), generates ATS-optimized PDF resumes tailored per role, drafts answers to open-ended application questions on Greenhouse, Ashby, and Lever forms, and scans 150+ company portals zero-token. Everything lives on your machine with no cloud, no telemetry, no account. It features a Go-based terminal dashboard for pipeline tracking and is built and maintained by Santiago Fernández de Valderrama Aparicio after a personal job search of 740 listings. The project has over 61,000 GitHub stars and 12,000 forks.

Key Features

Runs locally inside any AI coding CLI (Claude Code, OpenCode, Codex, GitHub Copilot, etc.)
Evaluates job listings against CV using a five-dimension rubric plus holistic global score (1.0–5.0)
Generates ATS-optimized PDF resumes tailored per role
Drafts answers to open-ended application questions on Greenhouse, Ashby, and Lever forms
Scans 150+ company portals zero-token with pre-configured scrapers
Go-based terminal dashboard for pipeline tracking
100% local — no cloud, no telemetry, no account required
MIT-licensed and free forever

Pros & Cons

Pros
  • Completely open-source (MIT license) and free forever
  • Local-first — your data stays on your machine, no cloud or telemetry
  • AI-powered with a transparent scoring rubric published online
  • Supports multiple AI coding CLIs, not vendor locked
  • Generates tailored PDF resumes and application answers
  • Community-driven development with active Discord and GitHub
Cons
  • Requires an AI coding CLI (e.g., Claude Code) as its engine — not a standalone tool
  • CLI-based interface may be less accessible for non-technical users
  • Currently maintained by a single individual alongside a full-time role, so feature pace may vary
  • No official GUI or web dashboard, only terminal interface

Best For

Automated job listing evaluation and scoring against your CVTailored ATS-optimized resume generation for each applicationDrafting answers to open-ended application questions (e.g., 'Why this role?')Batch scanning of 150+ company career portals for relevant openingsTracking a job search pipeline via a terminal dashboardDeciding which listings to apply to based on a structured rubric

FAQ

How does career-ops score job listings?
Career Ops uses a rubric-guided LLM evaluation across five dimensions — match, north-star alignment, comp, cultural signals, red flags — producing a holistic 1.0–5.0 global score with citations to specific CV lines and JD requirements. Anything below 4.0 the agent recommends against applying. The full rubric is published at career-ops.org/methodology.
Does career-ops apply to jobs for me?
It prepares every application right up to the click: it scans roles, scores each against your CV, tailors a resume, then hands the decision back to you. You review and send each one yourself. Mass auto-apply is deliberately avoided to preserve your standing with recruiters and ATS systems.
Is career-ops free?
Yes, career-ops is MIT-licensed and free forever. The only cost is whichever AI coding CLI you already pay for (e.g., Claude Code).
Why did you build career-ops?
The creator needed it during a job search in early 2026. Manually scoring each posting against a five-dimension rubric was slower than letting Claude Code do it. When the search ended, the system was open-sourced under MIT.
Why open source instead of a SaaS?
Two reasons: first, candidate data (CV, application history) should not live on someone else's server; second, MIT plus a Sovereign Maintainer funding model decouples the tool's survival from the creator's ongoing involvement.