---
title: "AI-Powered Job Search System on GitHub"
url: https://stacklist.com/card/9380fd57-1aa4-4189-9cf0-6e76f2252851
source_url: "https://github.com/santifer/career-ops"
stack: https://stacklist.com/stack/c691055b-de15-47a1-ad6a-6c4ecec55f18
summary: "Career-Ops is an open-source AI-powered job search platform that automates candidate evaluation, resume customization, and application tracking using agentic workflows. It helps job seekers filter opportunities with structured scoring, generate ATS-optimized CVs, and manage the entire hiring pipeline through a single command-line interface."
tags: "career-development, job-search, ai-tools, resume-optimization, open-source, automation"
key_entities: "Career-Ops (technology), Playwright (technology), Claude (technology), Greenhouse (technology), Ashby (technology), Lever (technology), Anthropic (organization), OpenAI (organization), ElevenLabs (organization), ATS-optimization (concept), STAR-method (concept), behavioral-interview (concept)"
classification: "reference"
content_hash: "sha256:6f6db4094d7f55968870552d99d0c8cf8b8cee127fb04177e1b07f55562d7f5a"
acp_version: "0.2"
token_counts_approximate: 3912
visibility: public
agent_accessible: true
status: "final"
---

# AI-Powered Job Search System on GitHub

Career-Ops English | Deutsch | Español | Français | Português (Brasil) | 한국어 | 日本語 | 简体中文 | 繁體中文 | Українська | Русский | Polski | Dansk | العربية 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. FEATURED IN 740+ job listings evaluated · 100+ personalized CVs · 1 dream role landed Also runs on any agent-skill-standard CLI What Is This Career-Ops ( career-ops.org , also known as careerops ) turns any AI coding CLI 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. 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 . Features Feature Description Auto-Pipeline Paste a URL, get a full evaluation + PDF + tracker entry 6-Block Evaluation Role summary, CV match, level strategy, comp research, personalization, interview prep (STAR+R) -- plus a Block G posting-legitimacy check that flags scams and ghost jobs Interview Story Bank Accumulates STAR+Reflection stories across evaluations -- 5-10 master stories that answer any behavioral question Negotiation Scripts Salary negotiation frameworks, geographic discount pushback, competing offer leverage ATS PDF Generation 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 Portal Scanner 45+ companies pre-configured (Anthropic, OpenAI, ElevenLabs, Retool, n8n...) + custom queries across Ashby, Greenhouse, Lever, Wellfound Batch Processing Parallel evaluation with headless CLI workers ( claude -p / opencode run ) Dashboard TUI 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 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 gemini / 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/santifer/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 / gemini / 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" 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. See docs/SETUP.md for the full setup guide, docs/RUNNING_ON_A_BUDGET.md for instructions on running career-ops cheaply using custom or local models, and docs/FAQ.md for answers to common setup questions. Antigravity CLI Integration 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/ , .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 Career-ops supports Grok Build CLI natively, the same way it supports Claude Code and OpenCode. AGENTS.md is auto-loaded as project rules, and all slash commands are available through the shared skill entrypoint. Native Grok Build CLI # 1. Run in the career-ops directory cd career-ops grok # 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 For headless batch workers, use grok -p "prompt" (add --yolo to auto-approve tool executions). Standalone Gemini API Script (No CLI install needed) # 1. Get a free API key at https://aistudio.google.com/apikey cp .env.example .env # Edit .env, set GEMINI_API_KEY=your_key_here # 2. Install dependencies npm install # 3. Evaluate a job description node gemini-eval.mjs " We are looking for a Senior AI Engineer... " node gemini-eval.mjs --file ./jds/my-job.txt npm run gemini:eval -- " JD text here " Free tier: Both options work without billing. Native CLI uses Google OAuth; the API script uses gemini-2.5-flash (15 RPM, 1M tokens/day free). Usage Career-ops uses a shared command router. In CLIs that register slash commands, it looks like this: /career-ops → Show all available commands /career-ops {paste a JD} → Full auto-pipeline (evaluate + PDF + tracker) /career-ops scan → Scan portals for new offers /career-ops pdf → Generate ATS-optimized CV /career-ops cover → Cover letter generator (paste JD or /career-ops cover {slug}) /career-ops batch → Batch evaluate multiple offers /career-ops tracker → View application status /career-ops apply → Fill application forms with AI /career-ops pipeline → Process pending URLs /career-ops contacto → LinkedIn outreach message /career-ops deep → Deep company research /career-ops training → Evaluate a course/cert /career-ops project → Evaluate a portfolio project Or just paste a job URL or description directly -- career-ops auto-detects it and runs the full pipeline. In Codex, slash commands are not guaranteed. Use the same mode names in a prompt instead, or call them from codex exec . How It Works You paste a job URL or description │ ▼ ┌──────────────────┐ │ Archetype │ Classifies: LLMOps / Agentic / PM / SA / FDE / Transformation │ Detection │ └────────┬─────────┘ │ ┌────────▼─────────┐ │ A-F Evaluation │ Match, gaps, comp research, STAR stories │ (reads cv.md) │ └────────┬─────────┘ │ ┌────┼────┐ ▼ ▼ ▼ Report PDF Tracker .md .pdf .tsv Pre-configured Portals The scanner comes with 45+ companies ready to scan and 19 search queries across major job boards. Copy templates/portals.example.yml to portals.yml and add your own: AI Labs: Anthropic, OpenAI, Mistral, Cohere, LangChain, Pinecone Voice AI: ElevenLabs, PolyAI, Parloa, Hume AI, Deepgram, Vapi, Bland AI AI Platforms: Retool, Airtable, Vercel, Temporal, Glean, Arize AI Contact Center: Ada, LivePerson, Sierra, Decagon, Talkdesk, Genesys Enterprise: Salesforce, Twilio, Gong, Dialpad LLMOps: Langfuse, Weights & Biases, Lindy, Cognigy, Speechmatics Automation: n8n, Zapier, Make.com European: Factorial, Attio, Tinybird, Clarity AI, Travelperk Job boards searched: 21 provider modules cover ATS APIs, board-wide feeds, XML/RSS feeds, markdown feeds, and local parsers. See Supported job boards for the full table. By default node scan.mjs (a.k.a. npm run scan ) trusts what each ATS feed returns. Some companies leave stale postings in their public API even after the role is closed, so those expired entries can leak into pipeline.md . Pass --verify to launch Playwright after the API pass and drop expired postings before they hit the pipeline: node scan.mjs --verify # zero-token discovery + Playwright liveness check The verification is sequential and only runs against new offers (after dedup), so the cost stays bounded. Dashboard TUI The built-in terminal dashboard lets you browse your pipeline visually: cd dashboard go build -o career-dashboard . ./career-dashboard --path .. Features: 6 filter tabs, 4 sort modes, grouped/flat view, lazy-loaded previews, inline status changes. Project Structure career-ops/ ├── AGENTS.md # Canonical agent instructions (all CLIs) ├── CLAUDE.md # Claude Code wrapper (imports AGENTS.md) ├── CODEX.md # Codex wrapper (imports AGENTS.md) ├── OPENCODE.md # OpenCode wrapper (imports AGENTS.md) ├── GEMINI.md # Legacy no-op guard to avoid Antigravity duplicate context ├── cv.md # Your CV (create this) ├── article-digest.md # Your proof points (optional) ├── config/ │ └── profile.example.yml # Template for your profile ├── modes/ # 15 skill modes │ ├── _shared.md # Shared context (customize this) │ ├── oferta.md # Single evaluation │ ├── pdf.md # PDF generation │ ├── cover.md # Cover letter generation │ ├── scan.md # Portal scanner │ ├── batch.md # Batch processing │ └── ... ├── templates/ │ ├── cv-template.html # ATS-optimized CV template │ ├── portals.example.yml # Scanner config template │ └── states.yml # Canonical statuses ├── batch/ │ ├── batch-prompt.md # Self-contained worker prompt │ └── batch-runner.sh # Orchestrator script ├── dashboard/ # Go TUI pipeline viewer ├── data/ # Your tracking data (gitignored) ├── reports/ # Evaluation reports (gitignored) ├── output/ # Generated PDFs (gitignored) ├── fonts/ # Space Grotesk + DM Sans ├── docs/ # Setup, customization, budget guide, architecture └── examples/ # Sample CV, report, proof points Tech Stack Agent : AI coding CLI with shared skills and modes ( AGENTS.md + CLI wrapper) PDF : Playwright/Puppeteer + HTML template Cover letters : HTML template + Playwright (A4 PDF, same pipeline as CVs) Scanner : Playwright + Greenhouse API + WebSearch Dashboard : Go + Bubble Tea + Lipgloss (Catppuccin Mocha theme) Data : Markdown tables + YAML config + TSV batch files Also Open Source cv-santiago -- The portfolio website (santifer.io) with AI chatbot, LLMOps dashboard, and case studies. If you need a portfolio to showcase alongside your job search, fork it and make it yours. About the Author I'm Santiago -- Head of Applied AI, former founder (built and sold a business that still runs with my name on it). I built career-ops to manage my own job search. It worked: I used it to land my current role. My portfolio and other open source projects → santifer.io Disclaimer career-ops is a local, open-source tool, NOT a hosted service. By using this software, you acknowledge: You control your data. Your CV, contact info, and personal data stay on your machine and are sent directly to the AI provider you choose (Anthropic, OpenAI, etc.). We do not collect, store, or have access to any of your data. You control the AI. The default prompts instruct the AI not to auto-submit applications, but AI models can behave unpredictably. If you modify the prompts or use different models, you do so at your own risk. Always review AI-generated content for accuracy before submitting. You comply with third-party ToS. You must use this tool in accordance with the Terms of Service of the career portals you interact with (Greenhouse, Lever, Workday, LinkedIn, etc.). Do not use this tool to spam employers or overwhelm ATS systems. No guarantees. Evaluations are recommendations, not truth. AI models may hallucinate skills or experience. The authors are not liable for employment outcomes, rejected applications, account restrictions, or any other consequences. See LEGAL_DISCLAIMER.md for full details. This software is provided under the MIT License "as is", without warranty of any kind. Contributors Got hired using career-ops? Share your story! License & Trademark The code is licensed under MIT . The "career-ops" name and brand are governed by the Trademark Policy , permissive for community use, reserved for commercial product naming and endorsement. Let's Connect