بنقرة واحدة
career-ops
AI job search command center -- evaluate offers, generate CVs, scan portals, track applications
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
القائمة
AI job search command center -- evaluate offers, generate CVs, scan portals, track applications
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
AI job search command center -- evaluate offers, generate CVs, scan portals, track applications
How to mirror the career-ops tracker to a Notion database and read records back as job leads.
How to scan a job source through an Apify actor as a keyed provider.
How to pull job leads from a Gmail label into the career-ops pipeline.
How to use the {{NAME}} plugin and the data it produces.
| name | career-ops |
| description | AI job search command center -- evaluate offers, generate CVs, scan portals, track applications |
| user_invocable | true |
| args | mode |
| argument-hint | [scan | deep | pdf | oferta | ofertas | apply | batch | tracker | pipeline | contacto | training | project | interview-prep | update] |
Determine the mode from {{mode}}:
| Input | Mode |
|---|---|
| (empty / no args) | discovery -- Show command menu |
| JD text or URL (no sub-command) | auto-pipeline |
oferta | oferta |
ofertas | ofertas |
contacto | contacto |
deep | deep |
pdf | pdf |
training | training |
project | project |
tracker | tracker |
pipeline | pipeline |
apply | apply |
scan | scan |
batch | batch |
patterns | patterns |
followup | followup |
Auto-pipeline detection: If {{mode}} is not a known sub-command AND contains JD text (keywords: "responsibilities", "requirements", "qualifications", "about the role", "we're looking for", company name + role) or a URL to a JD, execute auto-pipeline.
If {{mode}} is not a sub-command AND doesn't look like a JD, show discovery.
Show this menu:
career-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 pdf → PDF only, ATS-optimized CV
/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
Inbox: add URLs to data/pipeline.md → /career-ops pipeline
Or paste a JD directly to run the full pipeline.
After determining the mode, load the necessary files before executing:
_shared.md + their mode file:Read modes/_shared.md + modes/{mode}.md
Applies to: auto-pipeline, oferta, ofertas, pdf, contacto, apply, pipeline, scan, batch
Read modes/{mode}.md
Applies to: tracker, deep, training, project, patterns, followup
For scan, apply (with Playwright), and pipeline (3+ URLs): launch as Agent with the content of _shared.md + modes/{mode}.md injected into the subagent prompt.
Agent(
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}"
)
Execute the instructions from the loaded mode file.