Auto-pipeline for role review
Paste a job URL and the system produces an evaluation, a PDF, and a tracker entry in one pipeline.
career-ops
Career-Ops is an AI-powered job search system that helps candidates evaluate roles, generate tailored PDF materials, scan job portals, and track opportunities in one workflow. It is built around human review rather than automatic application submission.
Overview
Career-Ops is an AI-powered job search system built on Claude Code and related AI coding CLIs. It is designed to help candidates evaluate opportunities, tailor application materials, and keep job-search data organized in one command center instead of spreading it across spreadsheets and manual notes.
The repository describes a workflow centered on role scoring, ATS-oriented PDF generation, portal scanning, batch evaluation, and a terminal dashboard. It also emphasizes human review: the system recommends opportunities, but the user makes the final decision and submits applications themselves.
Core capabilities
Structured job evaluation
Roles are scored with an A-F system that uses 10 weighted dimensions, plus a Block G legitimacy check for scams and ghost jobs.
Tailored document generation
The system can generate ATS-oriented CV PDFs and cover letters, including keyword mirroring and review before final generation.
Portal scanning
It scans job portals and company pages, with preconfigured coverage for companies such as Anthropic, OpenAI, ElevenLabs, Retool, and n8n, plus Ashby, Greenhouse, Lever, and Wellfound queries.
Batch processing and pipeline integrity
It can evaluate multiple offers in parallel using headless CLI workers, and it keeps a single pipeline with merge, dedup, status normalization, and health checks.
Go dashboard and TUI
A terminal dashboard lets you browse, filter, and sort the pipeline from one place.
Where it fits
Screening opportunities
A candidate can paste a job post URL, review the generated assessment, and decide whether the role is worth pursuing before spending time on an application.
Preparing application materials
Someone tailoring applications can use the pipeline to generate a role-specific CV PDF and a cover letter draft aligned to the job description.
Managing a high-volume search
A job seeker managing many leads can scan portals, evaluate offers in batch, and keep the results organized in a single pipeline.
Tracking a search pipeline
A user who wants more structure than a spreadsheet can browse and sort the command center from the dashboard/TUI while keeping the underlying records intact.
Filtering suspicious listings
A candidate who applies selectively can use the legitimacy checks and scoring system to avoid low-quality, scam, or ghost-job listings.
Pros and Cons
Pros
- Combines role evaluation, document generation, scanning, and tracking in one workflow.
- Supports multiple AI coding CLIs, which makes it adaptable to different user preferences.
- Includes structured scoring and legitimacy checks to help filter weaker or suspicious roles.
- Provides reference examples for CVs, reports, and profile structures.
- Offers parallel batch evaluation for handling many opportunities efficiently.
Cons
- The source does not provide complete setup, pricing, or deployment details on the captured pages.
- It is intentionally not an auto-apply system, so users still need to review and submit applications manually.
FAQ
Does Career-Ops apply to jobs automatically?
No. The repository describes Career-Ops as an AI-powered job search system that evaluates roles, generates tailored PDFs, scans portals, and tracks applications, but it does not submit applications for you.
What AI tools does it work with?
The source says it turns an AI coding CLI into a job search command center and can be used with Claude, Gemini, Codex, Qwen, or Opencode. The quick-start examples show you run the installer, then open your chosen CLI.
Are the example files part of the runtime system?
The documentation shows the `examples/` directory is for reference only and not used at runtime. It includes templates such as `cv-example.md`, `article-digest-example.md`, and `sample-report.md` to help users structure their own files.
How do I get started?
The repository includes a `docs/` area and a quick-start that references `npm run doctor`, but the provided source excerpt does not include full setup or configuration details beyond the installer flow.
What does it cost?
The source states that GitHub's free plan includes public and private repositories, GitHub Actions minutes, packages storage, issues and projects, and community support. It does not provide Career-Ops pricing on the captured pages.
Quick Facts
- Category
- Developer Tool
- Primary use
- AI-assisted job search workflow
- Platform
- GitHub repository with CLI-driven workflow
- Supported CLIs
- Claude, Gemini, Codex, Qwen, Opencode
- Key outputs
- Evaluations, ATS PDFs, cover letters, tracker entries
- Source domain
- github.com
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