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AI job search command center -- evaluate offers, generate CVs, scan portals, track applications
npx skill4agent add santifer/career-ops career-ops$mode| Input | Mode |
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| JD text or URL (no sub-command) | |
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$modeauto-pipeline$modecareer-ops -- Command Center
Available commands:
/career-ops {JD} → AUTO-PIPELINE: evaluate + report + PDF + tracker (paste text or URL)
/career-ops pipeline → Process pending URLs from inbox (data/pipeline.md)
/career-ops oferta → Evaluation only A-F (no auto PDF)
/career-ops ofertas → Compare and rank multiple offers
/career-ops contacto → LinkedIn power move: find contacts + draft message
/career-ops deep → Deep research prompt about company
/career-ops interview-prep → Generate company-specific interview prep doc
/career-ops interview → Interactive profile/CV onboarding interview
/career-ops eu-swe → Calibrate a European SWE application before CV/apply/interview
/career-ops pdf → PDF only, ATS-optimized CV
/career-ops latex → Export CV as LaTeX/Overleaf .tex
/career-ops cover → Cover letter: standalone JD paste or /career-ops cover {slug}
/career-ops training → Evaluate course/cert against North Star
/career-ops project → Evaluate portfolio project idea
/career-ops tracker → Application status overview
/career-ops apply → Live application assistant (reads form + generates answers)
/career-ops scan → Scan portals and discover new offers
/career-ops batch → Batch processing with parallel workers
/career-ops patterns → Analyze rejection patterns and improve targeting
/career-ops followup → Follow-up cadence tracker: flag overdue, generate drafts
/career-ops update → Update career-ops system files with diff preview + compat check
Inbox: add URLs to data/pipeline.md → /career-ops pipeline
Or paste a JD directly to run the full pipeline._shared.mdmodes/_shared.mdmodes/{mode}.mdauto-pipelineofertaofertaspdfcontactoapplypipelinescanbatchmodes/{mode}.mdtrackerdeepinterview-prepinterviewregional/eu-swelatextrainingprojectpatternsfollowupcoverscanapplypipeline_shared.mdmodes/{mode}.mdAgent(
subagent_type="general-purpose",
prompt="[content of modes/_shared.md]\n\n[content of modes/{mode}.md]\n\n[invocation-specific data]",
description="career-ops {mode}"
)