auto-pipeline
Default flow when you paste a job description URL or raw text. Runs A–F evaluation, generates the report, exports a tailored PDF, and writes a tracker entry — without manual intervention between steps.
What it does
career-ops invokes auto-pipeline whenever you drop a JD URL or pasted text into the prompt. The mode reads the listing, scores it against the six-dimension rubric (A through F), writes the evaluation to reports/, generates the tailored PDF via Playwright, and updates the tracker entry — all in a single agent turn.
When to use it
Use auto-pipeline when you want the full pipeline executed automatically. It is the default mode for new listings entering your search.
What a run looks like
Paste a job URL with no sub-command and auto-pipeline runs the whole chain end to end: it extracts the description, checks the posting is live, scores it, saves the report, exports a tailored PDF, and records the entry in your tracker.
> https://job-boards.greenhouse.io/notion/jobs/4523451008
Extracting JD with Playwright... done.
Liveness gate: posting is live.
Evaluation: 4.6/5 — legitimacy verified.
Saved reports/072-notion-applied-ai-engineer-2026-05-18.md
Generated the tailored PDF via Playwright.
Score >= 4.5 — drafted Section H application answers in the report.
Updated data/applications.md (Report and PDF marked done).Good to know
- Paste a URL and auto-pipeline handles extraction for you: Playwright first for single-page portals like Lever, Ashby, Greenhouse and Workday, then WebFetch for static pages, then WebSearch as a last resort.
- A liveness gate runs before the evaluation. If the link is dead or the page is an empty "position filled" shell, the mode stops there instead of scoring phantom content — and if the entry came from
data/pipeline.md, it marks that row closed. - Draft application answers are written only when the score is 4.5 or higher, so low-fit roles do not spend tokens on copy you will not send.
Gotchas
If you only want the evaluation without the PDF (faster, cheaper), invoke /career-ops oferta instead. auto-pipeline costs more tokens because it runs the full chain.
Related
Modes
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.
pipeline
Reads URLs queued in data/pipeline.md and runs the full auto-pipeline against each one. Use it when you collected ten or twenty listings during the day and want to crunch them in a single session.