# Modes

Source: https://career-ops.org/docs/reference/modes (canonical HTML, identical content)

> The 14 user-invocable career-ops modes — evaluate, tailor, apply, track, and prep — each a markdown skill that runs in any supported AI coding CLI.



## The 14 modes [#the-14-modes]

career-ops ships **14 user-invocable modes**. Each one is a plain-markdown skill the agent loads and runs inside whichever AI coding CLI you already use — Claude Code, Codex, OpenCode, Gemini CLI, Qwen, or GitHub Copilot. You invoke a mode as `/career-ops <mode>`, and each covers one stage of the job search: evaluating a listing against the rubric (five dimensions plus a holistic global score), tailoring a CV, drafting an application, tracking outcomes, or preparing for interviews. Modes are System Layer per the [Data Contract](https://github.com/santifer/career-ops/blob/main/DATA_CONTRACT.md) — they update with the tool and never modify your `cv.md`, profile, or reports.

## Evaluate [#evaluate]

The core scoring loop — read a job listing and score it against the five dimensions plus a holistic global score before you spend any effort on it.

* **[auto-pipeline](https://career-ops.org/docs/reference/modes/auto-pipeline.md)** — the default flow. Paste a JD URL or text; it runs the A–F evaluation, writes the report, exports a tailored PDF, and logs a tracker entry with no manual steps in between.
* **[pipeline](https://career-ops.org/docs/reference/modes/pipeline.md)** — runs auto-pipeline against every URL queued in `data/pipeline.md`, so a day's worth of listings crunch in one session.
* **[oferta](https://career-ops.org/docs/reference/modes/oferta.md)** — the A–F evaluation against a single listing when you only need the scoring decision, not the full pipeline.
* **[ofertas](https://career-ops.org/docs/reference/modes/ofertas.md)** — ranks two or more competing offers across comp, fit, growth, and red flags into one decision matrix.
* **[deep](https://career-ops.org/docs/reference/modes/deep.md)** — a deep company-research document (funding, leadership, press, comp signals, red flags) before you apply to a company you don't know well.

## Tailor & apply [#tailor--apply]

Turn a high-scoring match into a submitted application.

* **[pdf](https://career-ops.org/docs/reference/modes/pdf.md)** — renders a tailored, ATS-clean PDF résumé against a specific JD via Playwright.
* **[apply](https://career-ops.org/docs/reference/modes/apply.md)** — reads an open application form's open-ended questions and drafts answers grounded in your CV and the JD.
* **[contacto](https://career-ops.org/docs/reference/modes/contacto.md)** — surfaces likely-warm LinkedIn contacts and drafts a short, role-specific outreach message.
* **[followup](https://career-ops.org/docs/reference/modes/followup.md)** — flags applications and interviews overdue for follow-up and drafts the messages.

## Track & grow [#track--grow]

Keep the search organised and calibrate it over time.

* **[tracker](https://career-ops.org/docs/reference/modes/tracker.md)** — a chat-side status summary of every application grouped by stage.
* **[patterns](https://career-ops.org/docs/reference/modes/patterns.md)** — reads your rejected and discarded applications to surface targeting patterns and blind spots.
* **[interview-prep](https://career-ops.org/docs/reference/modes/interview-prep.md)** — round-specific prep docs (recruiter, hiring manager, peer technical, panel) with likely questions and STAR stories.
* **[training](https://career-ops.org/docs/reference/modes/training.md)** — scores a course or certification against your stated career direction and its opportunity cost.
* **[project](https://career-ops.org/docs/reference/modes/project.md)** — scores a portfolio-project idea against your target roles and the time it would take to build.

## Portals [#portals]

The three zero-token portal scanners — Greenhouse, Ashby, and Lever — have their own [portals reference](https://career-ops.org/docs/reference/portals.md).