I spent months applying to jobs the hard way. So I engineered the system I wish I had.
Companies use AI to filter candidates. I just gave candidates AI to choose companies. Now it's open source.
Landed yours? Share it → · your card shows someone mid-search that the way out exists.
Every count is a public story you can audit → · every one of them started where you are now.
Also runs on any agent-skill-standard CLI. See Supported CLIs.
What Is This
career-ops (career-ops.org, also known as careerops) is an open-source AI job search that runs locally inside any AI coding CLI: it evaluates offers, tailors your CV and tracks every application, and you always have the final call. Instead of manually tracking applications in a spreadsheet, you get an AI-powered pipeline that:
Evaluates offers into a structured report -- blocks A through H, with a global 1-5 score reached by holistic judgement across five dimensions rather than an arithmetic formula. Block B's per-requirement importance column and block G's posting-legitimacy assessment are both separate, score-neutral signals that never affect the score; block H is drafted only at 4.5 and above
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
Researches companies and finds the right person to contact -- applications get you in the queue; research gets you a conversation
Important: This is NOT a spray-and-pray tool. career-ops is a filter -- it helps you find the few offers worth your time out of hundreds. The system strongly recommends against applying to anything scoring below 4.0/5. Your time is valuable, and so is the recruiter's. Always review before submitting.
career-ops is agentic: whichever AI coding CLI you choose navigates career pages with Playwright, evaluates fit by reasoning about your CV vs the job description (not keyword matching), and adapts your resume per listing.
Heads up: the first evaluations won't be great. The system doesn't know you yet. Feed it context -- your CV, your career story, your proof points, your preferences, what you're good at, what you want to avoid. The more you nurture it, the better it gets. Think of it as onboarding a new recruiter: the first week they need to learn about you, then they become invaluable.
Built by someone who used it to evaluate 740+ job offers, generate 100+ tailored CVs, and land a Head of Applied AI role. Read the full case study.
The CareerOps Manifesto
career-ops is the first reference implementation of the CareerOps Manifesto. read it. if it says what you believe, sign it. your signature becomes a commit.
Features
Feature
Description
Auto-Pipeline
Paste a URL, get a full evaluation + PDF + tracker entry
A-H Evaluation
Role summary, CV match (with how much each requirement matters for this posting, and whether that weight came from the JD's own wording, its structure, or an estimate — labelled per requirement, and an estimate can never be top-band), level strategy, comp research, personalization, interview prep (STAR+R) -- plus a Block G posting-legitimacy check that flags scams and ghost jobs, and a Work-Auth signal that flags an explicit no-sponsorship JD as a hard blocker
Interview Story Bank
Accumulates STAR+Reflection stories across evaluations -- 5-10 master stories that answer any behavioral question
Keyword-injected CVs with Space Grotesk + DM Sans design
Cover Letter Generator
Research-backed cover letters with keyword mirroring, four interactive angle prompts (why/problems/approach/tone), draft-in-chat approval gate, and A4 PDF via the same HTML + Playwright pipeline as CVs. Auto-drafts on every evaluation; complete and generate on demand via /career-ops cover
Application Email Drafts
Formal recruiter/referral/cold application emails from a report or pasted JD, with subject line, attachment checklist, source-backed fit points, and a profile-driven contact block. Draft-only -- career-ops never sends, submits, or clicks anything.
Terminal UI to browse, filter, and sort your pipeline
Human-in-the-Loop
AI evaluates and recommends, you decide and act. The system never submits an application -- you always have the final call
Pipeline Integrity
Automated merge, dedup, status normalization, health checks
Interview Suite
Time-blocked prep plans, practice sessions with feedback, post-interview debriefs (interview/), and a company red-flag detector (interview-redflag)
Offer Stage
Contract reading companion -- clause walk plus a lawyer question list (offer-prep) -- and a desired/advertised/actual salary-gap analyzer (salary-gap.mjs)
Follow-ups & Replies
Follow-up cadence calculator and seeded reminders (followup-cadence.mjs, followup-seed.mjs); employer reply classification into tracker updates (reply-watch)
Opt-in integrations (Gmail, Notion, Apify + a community registry), disabled by default -- see docs/PLUGINS.md
Beyond the CV
Company research (deep) surfaces AI strategy, recent moves, engineering culture, and the angle your profile should take. Contact discovery (contacto) identifies the hiring manager, recruiter, or team peer worth reaching out to and drafts a ≤300-character LinkedIn message tuned to each contact type. Formal application email drafts (email) turn an evaluated report or pasted JD into a subject line, body, and attachment checklist without sending, submitting, or clicking anything. Applications get you in the queue; research gets you a conversation.
Quick Start
Fastest way — one command:
npx @santifer/career-ops init
💡 npx ships with Node.js — it runs the installer once,
without installing anything globally. No Node yet? Install it first.
(Already using a Claude Code / Gemini / Codex CLI? Then you already have it.)
This clones the latest release into ./career-ops and installs dependencies. Then:
cd career-ops
claude # or codex / qwen / opencode / agy / grok — open your AI CLI here
On first launch, career-ops walks you through setup — your CV, profile and target roles — just by chatting. Nothing to edit by hand.
Prefer to set it up manually? (git clone)
git clone https://github.com/career-ops-hq/career-ops.git
cd career-ops && npm install
npx playwright install chromium # only needed for PDF generation
# 2. Check setup
npm run doctor # Validates all prerequisites
# 3. Configure
cp config/profile.example.yml config/profile.yml # Edit with your details
cp templates/portals.example.yml portals.yml # Customize companies
# 4. Add your CV
# Create cv.md in the project root with your CV in markdown
# 5. Open your AI CLI in this directory
claude # or codex / opencode / qwen / agy / grok
# Then ask your CLI to adapt the system to you:
# "Change the archetypes to backend engineering roles"
# "Translate the modes to English"
# "Add these 5 companies to portals.yml"
# "Update my profile with this CV I'm pasting"
# 6. Start using
# Paste a job URL or JD text to trigger auto-pipeline
# If your CLI supports slash commands, use /career-ops (or its CLI-specific alias)
# In Codex, ask for the same mode in plain language, e.g.:
# "Run the career-ops scan mode"
# "Run the career-ops pipeline mode for data/pipeline.md"
# "Run the career-ops pdf mode for the latest evaluated role"
# "Run the career-ops tracker mode and summarize the current statuses"
Global install
npm i -g @santifer/career-ops
This installs the career-ops binary globally so you can run it directly instead of via npx. Unlike npx @santifer/career-ops init (which bootstraps a project directory), the global install gives you a persistent career-ops command available anywhere in your terminal.
Which one should you use?
npx @santifer/career-ops init — best for first use; creates a dedicated project folder.
npm i -g @santifer/career-ops — best once you have a project folder and want to run career-ops commands directly.
The system is designed to be customized by your AI coding CLI itself. Modes, archetypes, scoring weights, negotiation scripts -- just ask it to change them. It reads the same files it uses, so it knows exactly what to edit.
career-ops supports Antigravity CLI natively, the same way it supports Claude Code and OpenCode. All slash commands are available through the shared skill entrypoint, using the same modes/*.md evaluation logic.
Google has transitioned consumer Gemini CLI access to Antigravity CLI. GEMINI.md is now a no-op compatibility guard so Antigravity does not duplicate the full project instructions when it reads both AGENTS.md and GEMINI.md.
Native Antigravity CLI
# 1. Run in the career-ops directory
cd career-ops
agy
# 2. Use the unified /career-ops command with subcommands:
/career-ops "Senior AI Engineer at Anthropic..."
/career-ops pipeline
/career-ops scan
/career-ops pdf
/career-ops tracker
The skill is defined using the open standard in .agents/skills/career-ops/SKILL.md and symlinked/referenced for each supported CLI (e.g. .claude/, .cursor/, .qwen/, .antigravitycli/, .grok/).
Codex Integration
career-ops supports Codex through the same shared router, but the invocation model is different from CLIs that auto-register slash commands. For the full guide, see docs/CODEX.md.
Interactive Codex
cd career-ops
codex
Slash commands are not guaranteed in Codex. If /career-ops is unavailable, ask Codex to run the mode directly in plain language:
Evaluate this JD with career-ops auto-pipeline: https://company.com/jobs/123
Run the career-ops scan mode and summarize new matches.
Run the career-ops pipeline mode for data/pipeline.md.
Run the career-ops pdf mode for the latest evaluated role.
Run the career-ops tracker mode and summarize the current statuses.
One-shot Codex (codex exec)
codex exec "Evaluate this JD with career-ops auto-pipeline: https://company.com/jobs/123"
codex exec "Run career-ops scan mode in this repo and summarize new matches."
codex exec "Run career-ops pipeline mode for data/pipeline.md."
codex exec "Run career-ops pdf mode for the latest evaluated role."
codex exec "Run career-ops tracker mode and summarize the current statuses."
Grok Build CLI Integration
c
career-ops (career-ops-hq/career-ops)
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这是什么？career-ops 是一款开源的 AI 求职代理，在你本地的 AI 编程命令行工具（Claude Code、Codex、OpenCode 等）中运行，可以扫描招聘网站、根据你的简历为每个职位打 1-5 分、为每个职位量身定制简历和求职信，并追踪每一份申请。但提交申请始终由你自己点击“提交”完成。
它是独立应用，还是要依附于其他工具？它是一个智能体技能包，而不是你需要单独打开的独立应用。你现有的 AI 编程命令行工具（Claude Code、Codex、OpenCode、Antigravity、Gemini CLI 等）会加载它，并替你运行其中的斜杠命令和脚本。
career-ops 是一款开源的 AI 求职代理，在你本地的 AI 编程命令行工具（Claude Code、Codex、OpenCode 等）中运行，可以扫描招聘网站、根据你的简历为每个职位打 1-5 分、为每个职位量身定制简历和求职信，并追踪每一份申请。但提交申请始终由你自己点击“提交”完成。